3 Background HR Metrics Report How can we collect the data more efficiently?How can we make more use of the data?Explore the possibility of of creating a basic HR datamartWaltham Forest & Haringey volunteered to provide data and expertise
4 Progress ReportVisits to sunny Waltham Forest & Haringey over the summer & collected sets of dataDefined file layouts and built data transformation scriptsData loaded into Access – one row per person per periodStandard formulas appliedTransformed into OLAP cube using Cognos Transformer
5 Examples Unable to set-up live demo Slides produced using data provided by Leon & TessaCognos Powerplay used as reporting layerStill some issues with the data and work still to be done on adding to the dimensions and measures
6 Measures & Dimensions Dimensions Time Organisation Gender Ethnicity Age BandLength of ServiceSalary BandEmployee GroupMeasuresFTE / HeadcountGross Pay (Total / Avg.)Average AgeSick DaysSickness CostSick Days per FTETurnover RateStarter / Leaver Count
16 Next Steps Firm up the process Add Absence reasons, top 5% flag and occupational groupsMore checking & testingDocument processCollect data from more boroughsLook at options for software
17 The Challenge… (a personal view) Management Information will be the lifeblood of workforce planningWe need to see the possibilities of what it can provide. Spend more time using the data than designing reports.We need to be aiming to make the information more accessible for line managers – this means simpler and more standardisation
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