企业房地产中的数据驱动决策.pdf

1、Data-Driven DecisionsInsights from workspace Utilisation Data Occupancy dataSony sensorsPeople count,flow data3rd party sensorsTemperature,humidity,Co2,noise data3rd party sensorsAttendance data3rd party equipmentCount data3rd party equipmentRoom booking data3rd party softwareBookings/Desk usage/Roo

2、m usage/Indoor climate data/People counting/People flowEmployee application/Room booking/Hybrid collaboration/Indoor climate insightsIntegrate your custom interfacesAPIs enables data push to other interfaces,customized apps,and web.The IOT Node as a data provider and aggregator.Discover with Analyti

3、csMeasure with DataEncourage with ExperiencesWhat to measure?Tiered data modelTIER 1:OccupancyUnderstanding when space is usedTIER 0:Manual occupancy studies/questionnairesRudimentary understanding of space usageTIER 2:Capacity utilisationUnderstanding to what capacity space is usedTIER 3:Space acti

4、vationUnderstanding what equipment etc.in a space is usedTIER 4:Activity detectionUnderstanding what type of activities are taking place in a spaceIndoor air qualityEnergy usagePlanned usageWasteWhy measure?How are rooms used?How are rooms used?Listen to what people say.Notice what they do.Space uti

5、lisationMeeting roomsWork stationsPerceived usageActual usageWhat to do with the data?Bridging the gapBy showing how space is used in real-timeShort term-DiscoverRestrooms55%16%45%9%3 identical meeting sofasIndoor air qualityMedium term-AdaptMeeting roomWalk-in room30%43%54%65%Adapt to how spaces ar

6、e used Long term-ChangeDown-sizingBefore:875 rooms1850 workspacesAfter:632 rooms1310 workspacesNew officeAmount of dataWeeksMonthsYearsDiscoverAdaptChangeSONY is a registered trademark of Sony Corporation.Names of Sony products and services