March RPI Data Presentation Take-Aways What did we learn? Where do we go from here?
March 6th RPI Data Presentation – What Did We Learn? • Build an attractive environment to minimize talent leakage • When posting jobs employers should list educational background as required job application feedback ▫ Thus colleges can have a better opportunity to respond to employer’s needs
Data Presentation – What Did We Learn? • Projected employment prospects exceed those for year 2000 & state as a whole. • Determine how to sell manufacturing to young workforce • Quantify the skill gap between job requirements and available workforce assets • Agri-Business has an attractive multiplier in food processing (3:1)
SW MI RPI – Where Do We Go From Here? • Request for member plans ▫ Mine the data from those existing plans ▫ (Mine the goals from those existing plans)
• Cluster the available data ▫ Bias toward the five categories present around our table: Economic development; workforce development; higher education; transportation; adult education
SW MI RPI – Where Do We Go From Here? • Identify gaps in data ▫ Consult with George E. about how those gaps could be filled
• Construct a dashboard to represent our work product ▫ There are a range of options here. ▫ We will explore and narrow them over the next few months.
Regional Development Dashboards An analysis of options for RPI
Dashboard Considerations • Who is the intended audience? (Academic researchers? Average citizens?)
• What data is important to present? (Data deluge may lead to information overload)
• Static vs. interactive (simple vs. complex/dynamic) • Do we want to highlight sub-regional metrics? (e.g. County or City data)
• Should we include target goals and benchmarks or just report the data? • What potential future uses exist for this tool? (Are we presenting in a format that is helpful?)
Static Dashboards • Basic metrics presented comparing past data set vs. present • No benchmark comparison • No goal indicated • Positive, negative, or no change progress indicator • Background data inaccessible from dashboard
Static Dashboards • Easy-to-read and well-organized • Background data linked to each metric • Benchmarked against other regions • No goals indicated
Static Dashboards
Interactive Dashboards • Simple interactive interface • Sub-regional data is selectable • Presents trends and goals
Interactive Dashboards • Summary dashboard presents basic information • Benchmarks and trends tab allows for more depth without clutter
http://economicdashboard.albertacanada.com/
Interactive Dashboards
• Ability to view data at varying extents • Sub-regional data is selectable
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Leisure and Hospitality. Manufacturing. Government. 3. Page 4 of 19. George Erickcek RPI March 6 v3.pdf. George Erickcek RPI March 6 v3.pdf. Open. Extract.
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Page 1 of 2. PALM SUNDAY. MASS INTENTIONS: 5:30 p.m. Saturday, March 24 Vigil of Palm Sunday. For the People. 8:00 a.m. Sunday, March 25 Palm Sunday. Harriet Davison (Donor). 10:00 a.m. Sunday, March 25 Palm Sundy. Stephanie Sebastian & Maria Pozoga
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Aggregation in Wireless Sensor Networks ... Markov decision processes, wireless sensor networks. ...... Technology Institute, Information and Decision Sup-.
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if we create one job in food processing, three others will follow in the agribusiness sector. Data Discussion. ⢠Clarifying questions. ⢠What's missing from the data ...
... Prosperity Region - Region 8 Prosperity Plan 3. 'It is the uniqueness of our regions â that makes. the world take notice. These regions drive. Michigan's economy and define its character.' 'Stronger local and regional collaboration will. drive