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1、Data,BI and Analytics Trend Monitor 2024 The worlds largest survey of data,BI and analytics trendsBARC Research StudySponsored by and licensed for2AuthorsDr.Carsten BangeFounder&CEOFlorian BigelmaierAJacqueline BloemenSenior ADr.Christian FuchsSenior ALarissa BaierSenior ATimm GrosserSenior APatrick

2、 KellerSenior AGernot MolinSenior ANikolai JanoschekARobert TischlerSenior AHerbert StaufferSenior Analysthstaufferbarc.chAnn-Katrin OppmannResearch AData,BI and Analytics Trend Monitor 2024 BARC 2023Foreword.4Management Summary.5Survey Results.8Trends Overview.9Trends Development.11Best-in-Class.13

3、The Trends in Detail.15Data Security/Privacy.16Data Quality Management.18Data Governance.20Data-Driven Culture.22Data Literacy.24Self-Service Analytics&Data Discovery.26Advanced Analytics/Machine Learning/AI.28Data Warehouse Modernization.30Data Preparation by Business Users.32Alerting&Triggers.34Da

4、ta Catalogs&Data Intelligence Platforms.36Cloud for Data&Analytics.38Real-Time Analytics&Streaming.40Integrated Platforms for Performance Management(PM)&Analytics.42Decision Intelligence.44Embedded BI&Analytics.46Data Products.48DataOps&Observability.50Data Lakehouse.52Data Mesh.54Recommendations.56

5、Sample.59BARC Company Profile.61Sponsor Profile.63Table of contents3Data,BI and Analytics Trend Monitor 2024 BARC 2023Management SummaryUnify Performance Management to Boost the Performance of Your Finance Department BARC 20234ForewordEvery business is a data business.And any data business needs to

6、use analytics to support decision-makers across the enterprise and across all hierarchy levels to take action.Deriving value from data has become an imperative for many businesses to stay competitive more and more business strategies call for the increased use of data throughout the organization.But

7、 becoming data-driven is not that easy.This survey on the impor-tance of trends shows above all that users of data and analytics do not consider the latest technical innovations or media-dominated topics such as AI to be the most important.Greater importance is attached to the fundamental aspects of

8、 the data basis:security and quality as well as the governance that ensures these two aspects.On the other hand,there is a focus on people:the aim is to develop a data-driven culture and increase data literacy.With 2,398 users,consultants and vendors taking part this year,the BARC Data,BI and Analyt

9、ics Trend Monitor 2024 illustrates which trends are currently regarded as important by a broad group of data,BI and analytics professionals.Their responses provide a comprehensive picture of regional,company and industry-specific differences and offer current insights into developments in the data a

10、nd analytics market.Our time series comparisons also show how trends have developed,making it possible to distinguish hype from stable trends.Dr.Carsten BangeWrzburg,Germany,November 2023Data,BI and Analytics Trend Monitor 2024 BARC 20234Management SummaryData,BI and Analytics Trend Monitor 2024 BAR

11、C 20236The market for data management,BI and analytics is in constant and seemingly ever faster motion.Generative AI has left no company untouched in 2023 and has elevated the debate about the possibilities and limits of decision-making,automation and human-machine interaction to a societal level.Th

12、is makes it all the more exciting to assess the significance of the trends in this study,which takes a unique approach:We asked more than 2,300 users,consultants and vendors for their opinions on the most important data,BI and analytics trends to get a broad perspective,especially from the users of

13、the technology(71 percent of respondents).They clearly focus on two aspects:data and people.Even though AI/machine learning is clearly gaining in importance,as expected,it is the fundamental topics that users consider really important.The study also provides a comprehensive insight into regional,com

14、pany and industry-specific differences in the assessment of trends,some of which are viewed very differently.We have summarized the key findings of this study in six hot spots to illustrate the most striking contrasts and ongoing trends.In general,vendors and users share a similar perspective on the

15、 importance of trends.However,technology plays a subordinate role in many of todays prevailing trends such as data literacy,governance and establishing a data-driven culture.Their high rankings in the overall results can be attributed to the fact that 71 percent of the survey respondents are IT or b

16、usiness users who come face to face with these topics on a daily basis.Vendors are generally more reserved and rate most trends lower in terms of importance.The only exception is cloud for data&analytics-a trend that vendors rate as significantly more important than users do.Hot SpotVendors vs.users

17、3While there are notable differences in a few trends,such as the significant impact of advanced analytics on the finance sector and real-time analytics&streaming for telecommunication companies,the vast majority of trends maintain a consistent level of importance across all indus-tries,particularly

18、in the realm of data quality management and data security.We encourage readers to compare relevant trends specific to their industry,as this comparison will be of great interest to industry experts seeking to align their personal impressions with survey results.Hot SpotIndustry comparison1Management

19、 SummaryObserving trends from a geographical perspective reveals a greater tendency in the South American region to assess them as important.In compar-ison,most trends are generally rated as less important in Europe.The only exception is data security.Here,South American and European companies place

20、 similarly high emphasis on this trend.However,the generally rather conserva-tive view is typical for Europe and can be further examined by looking more closely at the regions within Europe(see hot spot 6).Views in North America are largely consistent with the European perspective.Overall,data secur

21、ity and data quality management are perceived as important,while new topics(e.g.,data lakehouse and data mesh)are deemed less significant across all regions.However,when it comes to self-service analytics&data discovery,APAC and South America attach greater importance to this topic than Europe and N

22、orth America.This finding perfectly illustrates the fact that priorities vary from region to region.Hot SpotGlobal differences2Data,BI and Analytics Trend Monitor 2024 BARC 20237The importance of some trends is perceived quite differently across European countries.Southern Europe and the United King

23、dom in particular place greater importance on most BI trends than the other European regions.Conversely,the German-speaking region(Germany,Austria and Switzer-land collectively known as DACH)places much less importance on most trends.The only excep-tion is data literacy-rated as significantly more i

24、mportant in the DACH region.Data security and data quality management are rated as similarly important across Europe as a whole.Data quality management is also the one trend that the DACH region values the most.French respondents indi-cated that data preparation is very important to them,ranking thi

25、s trend far higher than the rest of the world.All in all,the European perception reflects the overall assessment of the top trends:Data secu-rity&privacy,data quality management,data-driven culture and data governance are seen as the most relevant trends this year.This is a consis-tent finding over

26、recent years with the excep-tion of data security&privacy,a newly introduced theme to this years Trend Monitor.Hot SpotEurope6The newly surveyed topic of data security and privacy jumps straight to number one this year.Data security and privacy are vital,as they safe-guard sensitive information,pres

27、erving trust,privacy and compliance.After six years at the top,data quality management has been caught up and is now ranked as the second most important trend.This study has consistently highlighted the value of high-quality data as a raw material and asset over the years.It is likely to remain a hi

28、gh-profile topic for a long time to come.The significance of data governance has grown in recent years.Beyond its primary goals of ensuring data security and quality,it substantially shapes an organizations data culture.Striking a balance between easy access to data on the one hand and ensuring comp

29、liance,data ethics and efficiency on the other is crucial.Establishing a data-driven culture occupies fourth position in this years Trend Monitor.Since its introduction to the Trend Monitor in 2019,this trend has always ranked among the top five.Data literacy,which ranks fifth,is also key to estab-l

30、ishing a data-driven culture.A culture of effective and ethical data use is essential for other trends to take root,ensuring that data and analytics make a lasting contribution to business success.Self-ser-vice analytics&data discovery in sixth place is a good example of this.All the top trends comb

31、ine organizational and technological elements.They act as a solid foundation on which most compa-nies are keen to put great emphasis.Hot SpotTop trending topics4Management SummaryBest-in-class companies differentiate themselves by prioritizing certain trends more than other organizations do.They esp

32、ecially highlight the importance of self-service and data discovery,ranking it third in importance,higher than its overall sixth-place ranking.These companies also recognize the crucial role of business users in preparing data,easing the burden on central teams.This is vital in an era when data is i

33、ncreas-ingly scattered and integration into a single plat-form is challenging.Data warehouses remain key in many data architectures,despite the rising acceptance of data lakehouses and other frameworks.Best-in-class companies place greater importance on data warehouse modernization and integrated pl

34、atforms for performance management and analytics than others.A notable focus for all companies is data quality,with best-in-class companies placing an even greater emphasis on data quality management,making it their top priority.Interestingly,while advanced analytics,ML and AI is similarly valued by

35、 all,best-in-class companies significantly priori-tize decision intelligence.This reflects the growing capability of AI to support or automate opera-tional decision-making,highlighting its value for leading companies.Hot SpotBest-in-class companies5Survey ResultsTrends OverviewData,BI and Analytics

36、Trend Monitor 2024 BARC 202310We asked users,consultants and software vendors of BI and data management technology to give their personal rating of the importance of twenty trending topics that we presented to them.Data security&privacy in first position is a newly-introduced trend this year,while d

37、ata quality management has been among the top trends for the last nine years.The significance of these two topics transcends individual regions and industry sectors.Data-driven culture is a trend that was first featured five years ago and has made the top five ever since.Similarly,data governance ha

38、s consistently been among the top four in recent years,gaining in importance over the last five years and now ranking third.Data literacy is also featured for the first time this year,occupying fifth position.These top five trends represent the foundation for organizations to manage their own data a

39、nd make good use of it.Furthermore,they demon-strate that businesses are aware of the relevance of secure and high-quality data.Organizations want to go beyond the collection of as much data as possible and actively use data to improve their business decisions not only in management but across the o

40、rganization.This necessitates broad data literacy throughout the enterprise.BARC Viewpointn=2,398Data security is the number one trend this year,overtaking data quality management 8.08.07.27.26.66.56.26.26.16.05.95.85.65.55.45.25.04.74.34.3Data security&privacyData quality mgmtData governanceData-dr

41、iven cultureData literacySelf-service analytics&data disc.Advanced analytics/ML/AIData warehouse modernizationData preparation by business usersAlerting&triggersData catalogs&data intelligence platf.Cloud for data&analyticsReal-time analytics&streamingIntegr.platforms for PM&analyticsDecision intell

42、igenceEmbedded BI&analyticsData productsDataOps&observabilityData lakehouseData meshTrends DevelopmentData,BI and Analytics Trend Monitor 2024 BARC 202312Some movement this year:Cloud for data&analytics loses ground,while advanced analytics/ML/AI is becoming more importantSome trends have increased

43、in importance since last year.Decision intelligence and advanced analytics/machine learning/artificial intelligence are especially hot topics,which owe much to advances in generative AI and the resulting auto-mation.The steady rise of data governance is also in line with the rising maturity and dive

44、rsity of data landscapes and use cases as well as the need to fulfill regulatory compliance.However,there are some minor shifts in the downward trends.Cloud for data and analytics has fallen three places to twelve.Data quality management,the survey leader in recent years,is ranked number two this ye

45、ar.For real-time analytics(13th)and embedded analytics(16th),a continuous downward trend can be observed over the years.Our survey represents a broad mix of trends and shows that there is steady movement in the market.Trends that have been around for a long time occasionally make room for new ones,o

46、ften because they become mainstream and do not arouse much curiosity any more.BARC Viewpointn=2,3982020Trend not included in Data,BI&Analytics Trend Monitor 2024 125634789101112131415171819202021202212563478910111213141517182023202416162420345681014169121171315171819114161811718194231011159121089761

47、3851135171112202019196161415723Data literacyData security&privacyData governanceData-driven cultureDecision intelligenceAdvanced analytics/ML/AIAlerting&triggersData meshDataOps&observabilityData lakehouseCloud for data&analyticsData productsReal-time analytics&streamingData preparation by business

48、usersData warehouse modernizationIntegr.platforms for PM&analyticsSelf-service analytics&data discoveryEmbedded BI&analyticsData catalogs&data intelligence platf.Data quality managementBest-in-ClassData,BI and Analytics Trend Monitor 2024 BARC 202314Learning from the best:How best-in-class companies

49、 see the trendsBest-in-class companies prioritize certain trends more than other organizations.Self-service analytics&data discovery stands out the most here,ranking third in importance for them,while it is only in sixth place overall.Best-in-class companies also see a vital role for business users

50、to prepare data for further use to reduce workloads in central teams.Data preparation by business users is especially important in an age when data can be found scattered all around the company and it is becoming increasingly difficult to integrate it into one physical data platform.Nevertheless,dat

51、a warehouses still play a major role in many data architectures,even as data lakehouses,data fabric and other architecture frameworks are gaining traction.Data ware-house modernization and integrated platforms for performance management and analytics rank significantly higher with best-in-class comp

52、anies compared to the rest.This integrated approach can help to improve the quality of data,a topic that ranks very highly for all companies,but especially best-in-class compa-nies,who clearly rate it as their most important trend.With all the hype around generative AI,it is especially interesting t

53、o observe that best-in-class companies rank advanced analytics,ML and AI very similarly to other organizations,but they place much greater emphasis on decision intelli-gence than the rest.AI advancements are increas-ingly enabling software to support and even auto-mate operational decision-making.Be

54、st-in-class companies thus value decision intelligence more than laggards.BARC Viewpointn=2,3988.78.38.28.27.67.47.27.16.76.76.56.56.56.46.06.05.95.55.14.8Data quality mgmtData security&privacySelf-service analyticsData-driven cultureData governanceDWH modernizationData literacyData prep.by business

55、 usersCloud for data&analyticsIntegr.platforms for PM&analyticsData catalogs&data intelligence plat.Decision intelligenceAlerting&triggersAdvanced analytics/ML/AIReal time analytics&streamingEmbedded BI&analyticsData productsDataOps&observabilityData meshData lakehouseTrends that are rated significa

56、ntly more importantby best-in-class companies than averageThe Trends in DetailData Security/PrivacyData,BI and Analytics Trend Monitor 2024 BARC 202317A major trend in the healthcare sector,but less important for small companies and vendorsData security is the protection of data against it being sto

57、len,manipulated or destroyed.More and more professional cyberattacks,coupled with the general uncertainty in global markets and the political situation,are driving the desire for security and protective measures.However,the reality in business does not always reflect this.Risk assessments,emergency

58、plans and protec-tion measures are often not up to date or do not even exist.Our survey shows that security is not adequately addressed in many companies and there is a need to take appropriate protective measures.Security is in the consciousness of companies,but there is often a lack of time and re

59、sources to implement the necessary technical,physical and organizational measures and to coordinate them appropriately.Data security is not just a task for the IT department.Data security measures are grouped into preven-tion,detection and reaction.Data is protected by means of access restrictions,e

60、ncryption and regu-lations governing data transmission and storage.If a data breach does occur,it should be detected as quickly as possible and damage prevented(or at least limited).A sound security concept and emergency plan should include options for tracing the attacker,measures for recovering th

61、e data,and clear action and communication processes to limit financial and non-financial damage.This also includes the obligation to provide information quickly if personal data is affected,in accordance with the applicable data protection laws.BARC Viewpointn=2,241010Not important at allVery import

62、antAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/sizeIT userConsultantBusiness userVendorMore than 2500 empl.100-2500 empl.Less than 100 empl.HealthcareFinancial ServicesPublic sector/Educ.ServicesITTransportRetail/Wholesale

63、TelcoManufacturingUtilitiesBest-in-ClassLaggardsNorth AmericaSouth AmericaEuropeAsia and PacificFranceNorthern EuropeUK&IrelandSouthern EuropeEastern EuropeBeNeLuxDACH1122122111113212221112222111428.28.07.87.68.28.07.68.78.68.58.18.18.07.77.77.67.68.37.68.28.08.07.98.58.38.38.38.07.87.8Data Quality

64、ManagementData,BI and Analytics Trend Monitor 2024 BARC 202319Data quality management is a bigger trend in France and among best-in-class companies,but less relevant for telecommunications sectorThe importance of data quality and master data management can be explained very simply:Correct decisions

65、can only be made on the basis of reliable,consistent data.Models can only make accurate predictions if they are trained and supplied with the correct data.More than that,high data quality standards are essential in order to increase flexibility for business users.Master data provides the structure t

66、o understand and use data.It is only through master data that transactional data,IoT data and clickstreams get their meaning and context.Harmonized master data is critical to the uniform understanding of data and the interaction of company divisions as it helps to ensure consistent reporting and dat

67、a-driven operations.In todays digital age,in which data is increasingly emerging as a factor of production,there is a growing need to flexibly use and produce high quality data to make new services and products possible.The critical success factors for sustainable high data quality are defined roles

68、 and responsibili-ties,quality assurance processes,the continuous monitoring of the health of a companys data and most importantly everyones awareness and transparency regarding the impact of poor data quality.BARC Viewpoint010Not important at allVery importantAverageRank of trendin this region/indu

69、stry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size8.07.87.87.88.17.97.88.38.28.18.18.18.08.07.97.87.18.77.38.18.07.87.48.58.38.28.07.97.77.7IT userBusiness userConsultantVendor100-2500 empl.More than 2500 empl.Less than 100 empl.Public sector/Educ.UtilitiesTransp

70、ortFinancial ServicesServicesHealthcareRetail/WholesaleITManufacturingTelcoBest-in-ClassLaggardsAsia and PacificEuropeNorth AmericaSouth AmericaFranceNorthern EuropeBeNeLuxUK&IrelandDACHEastern EuropeSouthern Europe212112121222212141211251112132n=2,233Data GovernanceData,BI and Analytics Trend Monit

71、or 2024 BARC 202321UK&Ireland and the financial services sector regard data governanceas important.Smaller companies and the IT sector are some way behindUnlike BI or analytics governance,which center on preparing and presenting data for analytical use cases,data governance focuses on the data in al

72、l systems that are dealing with data.Because busi-ness and technical responsibilities are tradition-ally covered at a per system level,this overarching view of data needs to be specifically addressed.For a long time,this was usually performed by a central body within the organization.With the rise o

73、f data product thinking and data mesh,a decentralized and federated approach to data governance is now more prevalent.This requires broader thinking in terms of knowledge,people,organization and technology.Data governance is needed as the steering mech-anism for data strategy.A proper data strategy

74、orchestrates how business strategy is translated into data and analytics.It enables the business to get value from data,for example,by applying data product thinking.Data strategy manages the exploitation of data across all business processes to promote business efficiency and innovation.Data govern

75、ance is required to implement a data strategy,including policies and frameworks to manage,monitor and protect data capital while taking people,processes and technologies into account.BARC Viewpointn=2,223010Not important at allVery importantAverageRank of trendin this region/industry etc.European re

76、gionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size7.47.37.06.87.57.16.77.97.67.57.57.47.06.96.96.96.77.66.87.97.27.27.07.97.87.77.77.57.57.0ConsultantIT userBusiness userVendorMore than 2500 empl.100-2500 empl.Less than 100 empl.Financial ServicesServicesUtilitiesPublic sector/Educ.

77、HealthcareRetail/WholesaleTransportManufacturingTelcoITBest-in-ClassLaggardsSouth AmericaNorth AmericaEuropeAsia and PacificUK&IrelandBeNeLuxFranceSouthern EuropeNorthern EuropeEastern EuropeDACH434334434435464545324443333445Data-Driven CultureData,BI and Analytics Trend Monitor 2024 BARC 202323A bi

78、g gap exists between best-in-class companies and laggards as well as between the transport and IT sectorsMany companies are pursuing the goal of using data and analytics more broadly throughout the organization in order to become data-driven.Data-driven in this context means that as many decisions a

79、nd processes as possible are based on data.Ultimately,data thus becomes the key driver for successful decisions,effective and effi-cient processes,and new competitive advantages.To achieve this goal,technology investments alone are not enough.All employees must be involved and a culture of constant

80、and open inter-action with data must be created.The founda-tions of such a data culture are described in the BARC Data Culture Framework,which identifies six key action areas:data strategy,leadership,governance,literacy,communication and access.BARC Viewpointn=2,216010Not important at allVery import

81、antAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size7.47.37.26.77.57.36.88.27.77.67.67.57.37.17.17.06.88.26.37.87.37.27.08.07.97.87.67.47.26.7ConsultantBusiness userIT userVendorMore than 2500 empl.100-2500 empl.Less than 1

82、00 empl.TransportHealthcareFinancial ServicesServicesUtilitiesRetail/WholesaleTelcoPublic sector/Educ.ManufacturingITBest-in-ClassLaggardsSouth AmericaNorth AmericaEuropeAsia and PacificBeNeLuxNorthern EuropeEastern EuropeSouthern EuropeUK&IrelandDACHFrance334443313433324334433372324435Data Literacy

83、Data,BI and Analytics Trend Monitor 2024 BARC 202325The transport sector and best-in-class companies place the most value on data literacy,France much less soData literacy is not limited to data professionals,data engineers and data scientists.It is increas-ingly important for all individuals in var

84、ious roles and industries,as data plays a central role in deci-sion-making and problem-solving across domains.Or,as Wayne Eckerson puts it,it“represents the baseline knowledge that every person needs to have”.BARC sees data literacy as the funda-mental ability of users to work with data.In our view,

85、this requires not only analytical skills,but also an understanding of the data(models)and data sources themselves,as well as knowledge of the software tools and how users work together.This year,for the first time,we surveyed the importance of data literacy in the Trend Monitor and it immediately la

86、nded in fifth place.We also see it as a trend that vendors do not cover very well.When asked to rate the importance of data literacy,vendors gave it 6.4/10 while user organi-zations ranked it a bit higher at 6.7/10.BARC Viewpointn=2,177010Not important at allVery importantAverageRank of trendin this

87、 region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size6.96.46.36.06.96.86.47.27.07.06.96.86.66.66.66.56.47.26.16.76.66.56.27.16.66.56.36.35.85.4ConsultantVendorIT userBusiness userMore than 2500 empl.100-2500 empl.Less than 100 empl.TransportUtilitiesHeal

88、thcareFinancial ServicesServicesTelcoRetail/WholesaleManufacturingPublic sector/Educ.ITBest-in-ClassLaggardsEuropeNorth AmericaAsia and PacificSouth AmericaDACHBeNeLuxEastern EuropeUK&IrelandNorthern EuropeSouthern EuropeFrance561010556456657656575551313455771514Self-Service Analytics&Data Discovery

89、Data,BI and Analytics Trend Monitor 2024 BARC 202327Especially relevant in the healthcare sector and for best-in-class companies,but not so much for laggards and the public sectorThe enablement of business users to create BI and analytics content in a self-reliant manner has been adopted by many org

90、anizations but is still a hot topic.The continued high demand for self-service BI and analytics underscores the importance of empowering business users with sophisticated capabilities.However,there has been a shift away from point solutions as orga-nizations have moved beyond simply providing self-s

91、ervice to meet departmental needs only.They want to democratize data access across the enterprise while ensuring efficient creation and consistent results by(or in spite of)cutting out the middlemen.Self-service BI and analytics empowers business users to find answers to urgent questions and make in

92、formed decisions.They do this by commu-nicating insights and results through visualiza-tions,reports,dashboards and increasingly also analytical models that are created more quickly and efficiently.The share of organizations that empower business users to build content,at least in some areas,is alre

93、ady high.This creates more relevant content that then attracts even more users.However,not all business users create BI and analytics content.Organizations need to understand that self-service does not mean that business users do not need IT or BI and analytics experts.They still play a key role in

94、enhancing,monitoring and supporting successful environ-ments and serving business users.BARC Viewpointn=2,236010Not important at allVery importantAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size6.86.66.56.26.86.66.47.57.17

95、.06.96.76.66.46.36.06.08.25.77.17.06.66.56.76.66.56.46.36.36.1Business userVendorIT userConsultantMore than 2500 empl.Less than 100 empl.100-2500 empl.HealthcareTransportRetail/WholesaleFinancial ServicesUtilitiesServicesITManufacturingTelcoPublic sector/Educ.Best-in-ClassLaggardsAsia and PacificSou

96、th AmericaEuropeNorth AmericaSouthern EuropeDACHNorthern EuropeFranceBeNeLuxEastern EuropeUK&Ireland657665645576766993837686656788Advanced Analytics/Machine Learning/AIData,BI and Analytics Trend Monitor 2024 BARC 202329Advanced analytics is especially popular in South America,but less so in France

97、and Eastern EuropeAdvanced analytics uses machine learning and mathematical and statistical algorithms in order to generate new information,identify patterns and dependencies,and calculate forecasts.There is a major drive to completely automate specific decision processes with AI,leveraging new hard

98、-ware and cloud services designed and optimized to run machine learning and AI solutions.This is accelerating the speed with which new AI solu-tions can be deployed within businesses.Generative AI has had a huge impact in the last year.It describes new types of large pre-trained AI models that are f

99、ocused on creating new content such as text,pictures,audio and sound.Innova-tion is booming in this area and we anticipate a slew of fascinating advancements in the months and years ahead.The potential use cases are wide-ranging,and all aspects of content creation can be greatly accelerated and opti

100、mized.Decision-makers must prioritize use cases,deter-mine the company-wide importance of advanced analytics,identify necessary roles and capabili-ties,and choose suitable technology.Addressing bias and ethical standards in algorithmic deci-sion-making is also increasingly crucial.Many companies are

101、 progressing from AI experimenta-tion to deployment,aided by DevOps,MLOps and streamlined cloud services.BARC Viewpointn=2,224010Not important at allVery importantAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size6.86.66.05.

102、76.46.05.66.86.76.26.16.06.06.05.95.85.76.45.87.37.06.16.06.76.05.95.75.65.45.4Business userIT userVendorConsultantMore than 2500 empl.Less than 100 empl.100-2500 empl.Financial ServicesTelcoServicesTransportITHealthcareRetail/WholesaleUtilitiesManufacturingPublic sector/Educ.Best-in-ClassLaggardsSo

103、uth AmericaAsia and PacificNorth AmericaEuropeSouthern EuropeDACHNorthern EuropeUK&IrelandBeNeLuxEastern EuropeFrance5581071111868910891010131466514877810131313Data Warehouse ModernizationData,BI and Analytics Trend Monitor 2024 BARC 202331Best-in-class companies value data warehouse modernization m

104、uch more than laggards doOlder data warehouse landscapes have become too complex to support agile development,or too expensive to have their functionality extended to accommodate modern analytics requirements.The type of implementation for which many data warehouse landscapes were originally designe

105、d and optimized does not cover the way analytics is currently moving forward in the direction of exploration and operational processing alongside classic BI requirements.Now,organizations are beginning to understand the new challenges that arise from the increasing demand for flexible data access in

106、 complex data landscapes.They are starting to realize the poten-tial of alternative methodologies,architecture approaches like data lakehouse and data fabric,and utilizing other technical options such as in-memory,cloud data platforms and data ware-house automation tools.IT must be prepared for fast

107、-changing analytical requirements and exten-sive self-service analytics in the line of business.Collaborative approaches are needed to meet the increasing expectations of the business to pull maximum value from data.It is now time to assess historically grown data warehouses against current demands

108、and evaluate how updated hardware,technology and architecture approaches could make life easier.BARC Viewpointn=2,212010Not important at allVery importantAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size6.46.16.05.66.26.26.

109、06.76.66.66.26.26.16.05.85.65.57.45.26.36.36.26.16.56.36.36.36.36.36.0IT userConsultantBusiness userVendorMore than 2500 empl.100-2500 empl.Less than 100 empl.TransportServicesRetail/WholesalePublic sector/Educ.ITFinancial ServicesManufacturingHealthcareUtilitiesTelcoBest-in-ClassLaggardsNorth Ameri

110、caSouth AmericaAsia and PacificEuropeUK&IrelandFranceBeNeLuxNorthern EuropeSouthern EuropeEastern EuropeDACH87810971076778127101114612111116758661078Data Preparation by Business UsersData,BI and Analytics Trend Monitor 2024 BARC 202333Best-in-class top the charts for data preparation.BeNeLux and Eas

111、tern European countries are less sold on the trendData preparation encompasses profiling,cleaning,structuring and enriching data by business users for use in analytics.Its goal is to build valuable assets from raw data to help answer business questions though analytics.Achieving agile data preparati

112、on at scale is of utmost importance in todays volatile economy.It enables businesses to leverage enterprise and external data to inform decisions,automate processes and monetize data.Increased agility is achieved by shifting the task of shaping and enriching data from IT to business users.Easy-to-us

113、e and intuitive tools with sophis-ticated user guidance and automation powered by machine learning are the foundation to infuse efficiency and quality into data preparation efforts.They empower business users to prepare data flexibly and anywhere.The governance of distributed data is therefore of hi

114、gh importance to ensure the quality of results and to avoid pipe-line proliferation.Monitoring and collaboration between IT and business are also key elements for a successful data integration and prepara-tion strategy.To promote flexible,democratized access to data,a balance between agility and gov

115、ernance has to be found.However,providing the systems and tools should only be one part of an overarching data access strategy that also needs to align with use case requirements,people and organization.BARC Viewpointn=2,224010Not important at allVery importantAverageRank of trendin this region/indu

116、stry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size5.75.65.65.46.36.15.96.86.66.46.46.05.95.85.85.55.47.15.76.76.66.35.97.05.95.85.75.75.14.7Business userConsultantIT userVendorLess than 100 empl.More than 2500 empl.100-2500 empl.Public sector/Educ.Financial Servi

117、cesHealthcareUtilitiesServicesITManufacturingTelcoTransportRetail/WholesaleBest-in-ClassLaggardsSouth AmericaAsia and PacificNorth AmericaEuropeFranceDACHSouthern EuropeNorthern EuropeUK&IrelandEastern EuropeBeNeLux12111411710859771011813121587911109491411111515Alerting&TriggersData,BI and Analytics

118、 Trend Monitor 2024 BARC 202335Alerting is prominent in Southern Europe,but less important for consultants and in the telecommunications sectorAlerts and notifications in BI and analytics save valuable time by drawing business users atten-tion to what really matters through personalized alerts or by

119、 delivering relevant content based on recent events.In the past,traditional approaches involved defining what was important up front,such as choosing KPIs and establishing thresholds.However,they often fell short of their promise,failing to capture impactful changes and,in other cases,overwhelming u

120、sers with information due to false positives.More recently,alerts have moved from being predefined to recommendations powered by machine learning,informed by usage patterns or outliers in the data and presented with context produced by natural language genera-tion.Machine learning is used in leading

121、 tools to focus user attention on trends and outliers that they were not previously looking for similar to the application of automated insights(augmented analytics).Alerts not only notify users of important changes,but can also trigger automated processes that span multiple business applications,fr

122、om sending reports to initiating corrective actions.Today,alerts are often used to detect events on real-time data streams.This illus-trates the tremendous impact of BI and analytics on business success and data monetization.BARC Viewpointn=2,220010Not important at allVery importantAverageRank of tr

123、endin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size6.56.45.95.56.05.95.96.46.36.36.16.06.05.85.85.65.56.55.56.76.66.65.87.06.06.05.85.65.55.5IT userBusiness userVendorConsultantLess than 100 empl.More than 2500 empl.100-2500 empl.Retail/Whole

124、saleFinancial ServicesITUtilitiesPublic sector/Educ.TransportManufacturingServicesHealthcareTelcoBest-in-ClassLaggardsSouth AmericaAsia and PacificNorth AmericaEuropeSouthern EuropeUK&IrelandBeNeLuxNorthern EuropeDACHEastern EuropeFrance679129119810788109121215131081071159910111211Data Catalogs&Data

125、 IntelligencePlatformsData,BI and Analytics Trend Monitor 2024 BARC 202337Very important in best-in-class companies.Less important in the manufacturing sector and for vendorsThe biggest challenge for data consumers today is finding,understanding,trusting and using rele-vant data.Analysts spend a lot

126、 of time searching for the right data and analysis and repeating work that has already been done,which impacts their productivity.A lack of available documentation and detailed knowledge stands in the way of achieving these goals.Such detailed knowledge is available in the organization in the form o

127、f metadata.However,metadata is rarely collected and brought to life using analytics and machine learning in any consis-tent way.Data cataloging embraces the system-atic collection,linking and analysis of metadata with the goal of creating a better understanding of data.The use of a data catalog,howe

128、ver,requires a different way of thinking and an awareness that data catalogs must be actively maintained.Tech-nology can assist in this process with connectors to different types of sources;workflows,analysis and collaboration functions;as well as the auto-mation of time-consuming tasks such as meta

129、-data ingestion,linkage and preparation.While a data catalog provides access to linked metadata,a data intelligence platform goes a step further and provides additional advanced functionality to activate metadata in different use cases like data governance applications or to support data product thi

130、nking.However,building a data catalog or a data intelligence platform and keeping it alive is much more of an organizational challenge.BARC Viewpointn=2,216010Not important at allVery importantAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/Us

131、er typeCompany/size6.36.05.85.36.25.75.77.16.46.06.05.95.95.95.75.35.36.55.66.56.15.85.86.46.46.45.95.75.75.6IT userBusiness userConsultantVendorMore than 2500 empl.Less than 100 empl.100-2500 empl.Financial ServicesTransportUtilitiesServicesPublic sector/Educ.TelcoRetail/WholesaleITHealthcareManufa

132、cturingBest-in-ClassLaggardsAsia and PacificNorth AmericaEuropeSouth AmericaEastern EuropeSouthern EuropeFranceBeNeLuxUK&IrelandDACHNorthern Europe91191381410589111012101314111191413101769711121013Cloud for Data&AnalyticsData,BI and Analytics Trend Monitor 2024 BARC 202339Asia&Pacific and best-in-cl

133、ass companies regard cloud for data&analytics as very important.France is some way behindThe global trend of running applications in a cloud environment started to branch out into the analytics domain about fifteen years ago.Start-ups were founded to disrupt the established vendors with a platform o

134、r software-as-a-service business model.The incumbent vendors,who typically generated their revenues from on-prem-ises implementations,followed suit and now more or less every vendor offers a cloud-based solution.As many software vendors offer their products“cloud only”or“cloud first”,cloud products

135、often provide more functions than their on-premises equivalents.In our experience,this is a major reason why almost all companies opt for cloud-based solutions in new projects,provided there are no legal concerns standing in the way.However,the adoption rate for cloud analytics and data management d

136、eployments is still at around 36 percent of all projects due to a very large,established base of existing on-premises installations that are reluctant to migrate to the cloud.Often,existing on-premises license agree-ments are much cheaper and the benefits of cloud-based use are considered too margin

137、al to make the switch.BARC Viewpointn=2,197010Not important at allVery importantAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size6.16.16.05.96.25.85.46.26.26.16.05.95.75.75.24.94.96.74.97.06.66.35.46.56.16.06.05.65.44.4Cons

138、ultantVendorBusiness userIT userLess than 100 empl.More than 2500 empl.100-2500 empl.ServicesITFinancial ServicesHealthcareTelcoRetail/WholesaleTransportManufacturingUtilitiesPublic sector/Educ.Best-in-ClassLaggardsAsia and PacificNorth AmericaSouth AmericaEuropeUK&IrelandBeNeLuxSouthern EuropeEaste

139、rn EuropeNorthern EuropeDACHFrance87912812139911911111114141791366111268129141219Real-Time Analytics&StreamingData,BI and Analytics Trend Monitor 2024 BARC 202341Very popular in Asia&Pacific and the telecommunications sector.Its relevance is much lower in Northern EuropeFaster reporting and analysis

140、 of data,not only in terms of query performance(which is still one of the biggest problems users experience with their BI tools),is a challenge in many companies.There is an increasing need to make data from transactional systems available immediately to support faster and fact-based operational dec

141、i-sion-making.Analytics with real-time data refers to the near-im-mediate processing and provision of informa-tion about business operations in transactional systems(i.e.,streaming).Real-time analytics is about catching events or other new data imme-diately after their occurrence and processing them

142、 for alerting(e.g.,in an operational dash-board)or triggering pre-automated events(e.g.,an algorithm detects certain problems during the manufacturing process of a given batch and recommends or automatically triggers count-er-measures).Like visual BI and predictive analytics,analytics with real-time

143、 data can complement an organi-zations existing analytics strategy to optimize certain business processes.As real-time analytics is nearly always tightly interwoven with a given business process,it is therefore even more important than in standard analytics projects to always have the entire process

144、 that is to be adapted and/or optimized in mind.BARC Viewpointn=2,226010Not important at allVery importantAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size6.05.55.44.95.75.65.17.15.85.85.65.55.45.45.35.25.06.05.36.86.26.15.

145、16.15.75.75.45.15.04.5IT userBusiness userVendorConsultantLess than 100 empl.More than 2500 empl.100-2500 empl.TelcoPublic sector/Educ.ITFinancial ServicesRetail/WholesaleUtilitiesServicesTransportHealthcareManufacturingBest-in-ClassLaggardsAsia and PacificNorth AmericaSouth AmericaEuropeSouthern Eu

146、ropeEastern EuropeBeNeLuxFranceUK&IrelandDACHNorthern Europe1113121515131631112131212151315151511912141411101212171318Integrated Platforms for Performance Management(PM)&AnalyticsData,BI and Analytics Trend Monitor 2024 BARC 202343Best-in-class companies are much more aware of the value of integrate

147、d platforms for performance management than laggardsDecision-making in an increasingly complex and volatile world requires transparent plans and data analyses.The seamless integration of performance management(particularly planning)and analytics functionality helps to support deci-sion-making proces

148、ses optimally.Best-in-class companies and users know that there can be no transparent decision-making without supporting functionality for planning,reporting,analysis and dashboarding as well as financial consolidation.Having all these options in one common and inte-grated platform is a decisive fac

149、tor for sustained success.This integration has been one of the most stable and relevant trends in the market for years and vendors are equipping their software tools accordingly.The integration of planning and analytics functionality is particularly important for leveraging modern planning approache

150、s such as predictive planning and forecasting based on statistical methods and machine learning.Integrated platforms for performance manage-ment and analytics are equally relevant for all companies.Best-in-class companies in particular have invested heavily in specialized software solutions to unify

151、 performance management and analytics processes.The benefits from this effort have been empirically proven.Supporting perfor-mance management and analytics on an inte-grated data platform with an integrated tool is a goal worth investing in.BARC Viewpointn=2,184010Not important at allVery importantA

152、verageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size5.45.35.35.25.85.45.36.25.75.75.65.55.55.45.34.94.86.74.66.86.05.95.25.95.95.65.65.65.64.9Business userIT userConsultantVendorLess than 100 empl.100-2500 empl.More than 2500 e

153、mpl.TelcoServicesPublic sector/Educ.ITRetail/WholesaleHealthcareFinancial ServicesManufacturingTransportUtilitiesBest-in-ClassLaggardsAsia and PacificNorth AmericaSouth AmericaEuropeBeNeLuxSouthern EuropeNorthern EuropeUK&IrelandEastern EuropeFranceDACH15161315131214813121514131612161710158151513101

154、31213111014Decision IntelligenceData,BI and Analytics Trend Monitor 2024 BARC 202345South America values decision intelligence much more than Europe,especially the DACH regionThe fundamental objective of employing data and analytics is to empower decision-makers to make more informed and effective c

155、hoices.However,we are encountering a growing number of scenarios where it is impractical or impossible for individuals to make decisions.Such situations arise when an overwhelming number of decisions must be made in a limited timeframe,the volume of data required for these decisions is exceedingly v

156、ast,or the intricacy of the factors influencing a decision surpasses human cognitive capabilities.Initially,this affects rather simple operational decisions that have to be made within a clear framework of a few decision options.The basis for this is a set of rules or,increasingly,models that can be

157、 built up using statistical or machine learning methods.Examples of automated decisions already exist today in the detection of fraud in financial trans-action data,dynamic pricing in online retail and in the scheduling of orders in service,production or logistics processes.In these examples,the shi

158、ft of the human role from decision-maker to creator and supervisor of decision models has already happened.BARC Viewpointn=2,141010Not important at allVery importantAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size5.55.35.3

159、5.15.95.35.26.05.65.65.65.55.55.45.24.94.56.54.77.56.56.35.06.56.25.95.55.35.24.5Business userIT userVendorConsultantLess than 100 empl.100-2500 empl.More than 2500 empl.TelcoITHealthcarePublic sector/Educ.Financial ServicesRetail/WholesaleServicesUtilitiesManufacturingTransportBest-in-ClassLaggards

160、South AmericaAsia and PacificNorth AmericaEuropeSouthern EuropeFranceNorthern EuropeUK&IrelandEastern EuropeBeNeLuxDACH1415141412141510141114141314131617121441291589914141417Embedded BI&AnalyticsData,BI and Analytics Trend Monitor 2024 BARC 202347Asia&Pacific leads the way.This trend is much less im

161、portant in the telecommunications industry and in BeNeLux countriesEmbedding intelligence in operational applica-tions is growing steadily in popularity.From dash-boards to prediction and optimization models,users get data and insights directly in their specific work environment and can act on the f

162、indings closing the classic management loop from infor-mation to action.Embedded BI and analytics enables users to derive information rapidly by themselves without having to involve the IT department or power users.In effect,many more people gain access to information and BI capabilities,making BI m

163、ore pervasive or democratic.It even allows for auto-mated processes where no active user request is needed to initiate data analysis or where actions are based on data-driven decisions.However,this operationalization of BI and analytics has various implications.For example,(1)clari-fying the respons

164、ibilities of the BI/analytics and application teams;(2)integrating operational BI in a holistic data and analytics strategy that also includes classic and explorative BI;and(3)deciding whether to“make or buy”embedded functions.Also,the broad approach of auto-mating decisions through embedded models

165、and rules brings about completely new possibilities and challenges.BARC Viewpointn=2,204010Not important at allVery importantAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size5.35.25.04.75.45.15.05.35.35.25.25.25.15.14.94.64

166、.46.04.56.45.75.24.95.65.35.14.84.84.54.3IT userBusiness userVendorConsultantLess than 100 empl.100-2500 empl.More than 2500 empl.ITServicesManufacturingTransportRetail/WholesaleFinancial ServicesPublic sector/Educ.UtilitiesHealthcareTelcoBest-in-ClassLaggardsAsia and PacificNorth AmericaSouth Ameri

167、caEuropeSouthern EuropeNorthern EuropeFranceUK&IrelandDACHEastern EuropeBeNeLux171616161615171616131516171515172016161516191616151518151818Data ProductsData,BI and Analytics Trend Monitor 2024 BARC 202349Data products are prominent in South America,but less important for laggards and companies in th

168、e BeNeLux countriesA data product conceptualizes data as a tailored asset designed for specific needs,emphasizing its entire lifecycle from conception to eventual evolution or retirement.This philosophy cham-pions principles such as data ownership,quality assurance and continuous iteration based on

169、user feedback.Essential attributes that define a high-quality data product are its value(utility and relevance),desirability(alignment with user needs)and feasibility(technically and economi-cally viable to create and maintain).This approach is not just about collecting data but managing and refinin

170、g it to remain pertinent across various sectors,from analytics dashboards to AI training.By integrating the lifecycle perspective,data prod-ucts undergo periodic evaluations and enhance-ments to stay relevant.The data product concept underscores the significance of focusing on user needs throughout

171、this lifecycle,promoting reli-able and refined data that fosters informed deci-sion-making and instills trust,thereby amplifying the datas strategic role in an organization.BARC Viewpointn=2,107010Not important at allVery importantAverageRank of trendin this region/industry etc.European regionsIndus

172、tryBest-inClassGlobalregionsCompany/User typeCompany/size5.75.04.64.55.15.14.75.55.35.25.15.14.94.84.84.74.55.94.36.55.55.34.85.55.14.84.74.74.54.3IT userBusiness userVendorConsultantLess than 100 empl.More than 2500 empl.100-2500 empl.Financial ServicesTransportServicesRetail/WholesaleHealthcareITU

173、tilitiesPublic sector/Educ.TelcoManufacturingBest-in-ClassLaggardsSouth AmericaAsia and PacificNorth AmericaEuropeUK&IrelandSouthern EuropeEastern EuropeDACHFranceNorthern EuropeBeNeLux131717181716171514171716171618171717171018181715171716161717DataOps&ObservabilityData,BI and Analytics Trend Monito

174、r 2024 BARC 202351DataOps is most relevant in North America,but less important in the DACH region and in the utilities sectorDataOps is a methodology that combines data engineering and operations to streamline and automate the entire data lifecycle,from data ingestion to analytics.It draws inspirati

175、on from DevOps practices,applying them to data-related processes.Key principles of DataOps include collaboration among cross-functional teams,automation of repetitive tasks to reduce manual errors and accelerate data delivery,and agility by allowing rapid changes and iterations based on version cont

176、rol for reproducibility and traceability.On the other hand,data observability focuses on monitoring and understanding the health of data pipelines.It offers insights into data lineage,quality and anomalies,facilitating a transparent view of the lifecycle of data.Primary applications involve quickly

177、diagnosing pipeline issues,tracing data origins and transformations,and ensuring data quality for analytics.The significance of these concepts lies in their ability to bolster data-driven decisions.By adopting DataOps,organi-zations can streamline data processes for faster and reliable insights.With

178、 data observability,they gain comprehensive insights into data health,ensuring that decisions are grounded on accurate and timely information.Together,they minimize the business risks of faulty data-driven decisions.BARC Viewpointn=2,096010Not important at allVery importantAverageRank of trendin thi

179、s region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size5.24.94.64.65.04.64.65.35.05.04.94.84.64.54.54.34.35.54.35.65.64.94.45.35.04.94.64.54.34.2IT userBusiness userConsultantVendorLess than 100 empl.More than 2500 empl.100-2500 empl.TelcoFinancial Servic

180、esPublic sector/Educ.ServicesITRetail/WholesaleHealthcareTransportManufacturingUtilitiesBest-in-ClassLaggardsNorth AmericaAsia and PacificSouth AmericaEuropeUK&IrelandEastern EuropeSouthern EuropeNorthern EuropeFranceBeNeLuxDACH181817181818181618161818181818181918181717201816161916181618Data Lakehou

181、seData,BI and Analytics Trend Monitor 2024 BARC 202353South America sees data lakehouse as an important trend.Northern Europe and the healthcare sector do not rate it so highlyA data lakehouse merges the attributes of data lakes and data warehouses,offering the storage flexibility of lakes and the s

182、tructured querying capabilities of warehouses.This hybrid model aims to deliver a unified platform for both exten-sive analytics and machine learning.It facilitates analytics on a vast range of data sets,from raw to structured,without the need to relocate data.Core use cases include streamlined anal

183、ytics across diverse data,machine learning with ample raw data,and business intelligence derived from aggregated data sources.The significance of adopting the lakehouse approach lies in its ability to minimize the challenges associated with managing separate raw and processed data storage.It boosts

184、cost-effectiveness and supports a leaner data infrastructure.By embracing the lakehouse model,users can attain real-time insights from various data types more efficiently.Similar to data warehouses and data lakes,data lakehouses have limitations including data quality challenges,complexity,potential

185、 query performance issues,and the need for robust data governance and security measures.Their common centralized approach to data manage-ment is becoming less viable in an increasingly distributed data and application landscape with growing data volumes.BARC Viewpointn=2,111010Not important at allVe

186、ry importantAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size4.64.24.03.94.64.34.14.84.64.54.54.24.24.14.03.83.84.83.85.65.24.74.05.04.34.14.14.03.93.7IT userBusiness userVendorConsultantLess than 100 empl.More than 2500 em

187、pl.100-2500 empl.ServicesITFinancial ServicesTelcoManufacturingRetail/WholesalePublic sector/Educ.UtilitiesTransportHealthcareBest-in-ClassLaggardsSouth AmericaAsia and PacificNorth AmericaEuropeSouthern EuropeFranceUK&IrelandEastern EuropeBeNeLuxDACHNorthern Europe2020201919192019192019191920202019

188、20201820201918202020191920Data MeshData,BI and Analytics Trend Monitor 2024 BARC 202355Data mesh is a minor trend across all demographic groups,especially in the BeNeLux countriesData mesh is primarily an organizational and conceptual idea that revolves around four essential pillars.These describe a

189、 focus on data products and the decentralized creation of and responsibility for data products in the line of busi-ness,which are based on a self-service data plat-form and federated data governance with a high degree of automation.The approach is intended to address the two central challenges a lac

190、k of scalability and domain expertise often encoun-tered by mostly centralized data and analytics teams.Data as a product refers to treating data as a valuable offering,packaging and delivering it for specific uses,often with associated services,for internal or external data consumers.Domain-ori-ent

191、ed data ownership assigns responsibility for data management to specific business domains or units,ensuring clear accountability and alignment with organizational goals and data needs.A self-serve data platform empowers business teams to create,access,manage and use their domain-spe-cific data produ

192、cts independently,fostering data democratization and agility.Federated computa-tional data governance is essential to empower domain-specific data teams while maintaining overall governance standards and ensuring data quality,security,compliance and interoperability within a decentralized data ecosy

193、stem.BARC Viewpointn=2,067010Not important at allVery importantAverageRank of trendin this region/industry etc.European regionsIndustryBest-inClassGlobalregionsCompany/User typeCompany/size4.64.34.33.84.64.24.14.64.64.44.44.44.34.14.04.03.75.13.95.95.44.84.04.64.54.44.14.13.83.5IT userVendorBusiness

194、 userConsultantLess than 100 empl.More than 2500 empl.100-2500 empl.Financial ServicesTelcoServicesUtilitiesITPublic sector/Educ.TransportRetail/WholesaleManufacturingHealthcareBest-in-ClassLaggardsSouth AmericaAsia and PacificNorth AmericaEuropeFranceUK&IrelandSouthern EuropeEastern EuropeNorthern

195、EuropeDACHBeNeLux202020191919202019192019202019191920201820201920201820201919RecommendationsData,BI and Analytics Trend Monitor 2024 BARC 202357BI/analytics and data management have been among the most important IT-related topics in the business world for a long time.The rising importance rating of

196、many of the trends covered in this report also supports this observation.And with digitalization as a primary strategic initiative for many companies,analyzing and managing data has become even more vital.After all,data and analytics are at the core of the digitization of processes and business mode

197、ls.Based on our survey findings,we have seven recommendations on how best to embrace the trends described in this study:RecommendationsThe best-in-class companies in this study show that there are substantial benefits to be attained from adopting data and analytics trends.Start with pilot projects t

198、hat can show the value of new approaches to data and analytics.Besides tech-nical pilots,do not underestimate the importance of investing in your data culture,security,quality and literacy.Venturing into these long-term proj-ects is not as straightforward as software imple-mentations,but the pay-off

199、 will be measurable.Enabling your business user community through self-service BI and possibilities for reporting,analysis,data discovery and visualization is a good idea,as long as there is an agreed data and tool governance framework.Ideally,IT departments or BI units should align very closely wit

200、h key and power users across the organization to introduce the trusted and accepted governance of data and analytics.The growing wave of decentralized ownership of data products and other assets is increasing the demand for change in governance models(e.g.,with the demand for federated computational

201、 governance in the data mesh concept).Start enabling your existing staff while scouring the labour market for technical and analytical expertise.While new technologies and applica-tions require specific resources and know-how,a data-driven organization as such also requires data-literate employees i

202、n its operational processes.The success of digitalization also depends on an openness and culture to embrace new use cases for data and analytics.While it is still important to find highly skilled employees within and outside your organization,enabling all types of employees in your company to work

203、with data and to source,handle and apply it care-fully has the potential to increase the quality of day-to-day discussions and decisions.Organizations seem to be aware that the best-looking dashboards and statistical models are worth nothing if the data represented is flawed.Business intelligence an

204、d analytics does not make a lot of sense without comprehensive data inte-gration and data quality initiatives,but these have to be backed up with the right level of attention,resources and funding.Organizational backing of data quality by implementing data governance concepts such as data ownership

205、and steward-ship processes are just one example of this.Venture into trending topicsImplement data governanceEnable your staffPay attention to data governance1423Data,BI and Analytics Trend Monitor 2024 BARC 202358BI/analytics and data management have been among the most important IT-related topics

206、in the business world for a long time.The rising importance rating of many of the trends covered in this report also supports this observation.And with digitalization as a primary strategic initiative for many companies,analyzing and managing data has become even more vital.After all,data and analyt

207、ics are at the core of the digitization of processes and business models.Based on our survey findings,we have seven recommendations on how best to embrace the trends described in this study:RecommendationsOrganizations should review their existing infor-mation architecture to ensure it can support t

208、he level of agility required,handle large volumes of poly-structured data(also in real time where needed)and support rapidly growing demand for advanced analytics/AI.Data warehouse modern-ization is obviously an important trend.Despite all the hype around new topics such as data lakehouses and advan

209、ced analytics,the harmo-nized and quality-assured data foundation data warehouses bring is still required but,in many cases,the technology and processes need to be modernized.Similarly,the study shows that an integrated platform is also important for analytics and corporate performance management.On

210、e year after generative AIs hockey stick moment,companies around the world are trying to find ways to incorporate LLMs and other tools to their advantage.Building prototypes with different solutions is the only way to find out which technologies have a true impact and are viable in a company setting

211、.On the other hand,do not over rotate and stop investing in traditional AI.In the context of decision-making and process improve-ments,AI has reached such a level of maturity that it is now an important part of supporting or even automating decision-making in many companies.Follow the question of ta

212、ngible value creation from a solution rather than just knowl-edge gain when you develop or implement such a solution.Here,playtime is clearly over,and the focus should be on operationalization.Establishing a data-driven culture has to be supported by the six pillars laid out in the BARC Data Culture

213、 Framework:Leadership,data strategy and data governance are the most important facil-itators,while data access,data literacy and data communication are the outstanding enablers.Organizations must be aware that an in-depth cultural change is time-consuming and will prob-ably face resistance.However,w

214、ithout a positive data culture,a data and analytics initiative will fail or at least not provide the benefits intended.Modernize your information architecturePlaytime is over!Is it?Get ready for a data-driven culture567SampleData,BI and Analytics Trend Monitor 2024 BARC 2023602,398 participants in t

215、otal.Wide coverage of different industries,company sizes and regionsThe data used in the Data,BI and Analytics Trend Monitor 2024 was sourced from an online user survey conducted worldwide in the summer of 2023.BARC promoted this survey on websites,at events and in email newsletters.After data clean

216、sing,a total of 2,398 survey responses remained.Respondents came from a wide range of industries,countries,professional back-grounds,company types and sizes.Participants were asked to rate each trend on a scale from“very important”(10)to“not important at all”(0).We use a weighted scoring system(from

217、 10 to 0)to derive a composite score for each of the trends based on their level of importance.It is a dimensionless number with an arbitrary value,but as long as the weighting system remains constant it can be used for comparisons between segments of the sample,such as the sample for industries or

218、regions,to name just two.Best-in-class companies comprise the top 10 percent in terms of achievement of specific BI-re-lated business benefits(e.g.,“Faster reporting,analysis or planning”and“Increased competitive advantage”)in this survey.Laggards represent the lowest 10 percent.Information on the s

219、urveyDepartmentUserConsultantVendor71%13%6%Company typeSeparate BIOrganizationManagement7%Finance/Controlling21%Other21%IT37%15%Industry 100 2,500Number of employeesRegionGlobalEurope65%5%8%11%18%4%2%DACHUK&IrelandS EuropeFranceBeNeLuxN EuropeE EuropeNorth AmericaEuropeAsia/PacificSouth America4%75%

220、65%3%4%22%Manufacturing13%Services9%Other10%Retail/Wholesale13%Financial Services8%Public Sector and Education11%IT3%Healthcare4%Transport5%Utilities2%Telecommunications17%45%38%BARC Company ProfileData Decisions.Built on BARC.62Data,BI and Analytics Trend Monitor 2024 BARC 2023Rest of the World www

221、.barc-+44 1536 772 451SwitzerlandBARC Schweiz GmbHTfernstrae 22aCH-5405 Baden-D+41 56 470 94 34AustriaBARC GmbHHirschstettner Strae 19/I/IS314A-1220 Wien +43 660 6366870GermanyBARC GmbHBerliner Platz 7D-97080 W+49 931 880 6510BARC is the leading analyst firm in Europe for technology and the successf

222、ul use of data&ana-lytics.Our BARC Digital Workplace division com-plements this focus with expertise in ECM,BPM,CRM and ERP.ResearchBARC user surveys,software tests and analyst assessments in blogs and research notes give you the confidence to make the right decisions.Our independent research gets t

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