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Economic Intelligence Presentation kMatrix Ltd Introduction This presentation pack covers all of the aspects of kMatrix Economic Intelligence data It shows how kMatrix research reflects economic challenges like growth, innovation,


  1. Economic Intelligence Presentation kMatrix Ltd

  2. Introduction • This presentation pack covers all of the aspects of kMatrix Economic Intelligence data • It shows how kMatrix research reflects economic challenges like growth, innovation, employment and competitiveness • It meets the new economic realities by offering modular data products and in-house analysis tools • It provides value for money by providing cost effective data updates • All Slides are taken from live files or reports • Our Research Methodology is defined elsewhere

  3. kMatrix Sector Modules Baseline Analysis Locality Benchmarking Benchmarking Analysis and at Locality, Employment and Skills Regional Regional and National Company Data Set Levels Modules can be International Trade Analysis purchased Regional singly or in “bundles.” New and International Market Analysis data sets can be National added later. Growth Forecasting Modules can be accessed by National selected Private Investment Analysis individuals or only as a regional observatory

  4. kMatrix Sectors Special Data Sets Available Now Available Soon • • Environment Energy • Life Sciences • • Renewables Agriculture • New Materials • • Low Carbon Food • • Built Environment ICT • • Marine Motor Sport Sectors can be • • Aerospace Vehicle Technology purchased • • singly, severally Health Technology Defence or in parts. • • Security Finance Some data sets can be • Digital Media deepened to include more • Creative Industries levels of detailed activity

  5. Sectors are defined by focusing on multiple sources and taxonomies, not just Standard Industrial Classification codes. All sectors are defined to at least 4 levels (@ 700 discrete markets) and include both supply chain (componentry) and value chain (service) activities.

  6. Because definitions and priorities can differ, data filters are built into the report file so that unique definitions can be used for local focus and analysis. At the same time, the full definition can be used for benchmarking a locality against another region or the national picture. Visuals help to illustrate economic links and dependencies

  7. Sector activities change over time. If there is a measurable value, we are able to add new products and services and monitor them separately or as part of a revised sector definition. In this respect our analysis is dynamic and takes account of economic change. Adding Clean Tech to Climate Change

  8. We provide baseline and benchmark analysis from Local Authority level upwards. Our key measures include Sales, Companies, Employment and Growth. These can be measured and compared for each sector market, for each geographic locality and by year. Identify the highest performing sector activities, regions and trends on key measures

  9. Measure can be analysed individually or as dashboards of key indicators. These can be applied at the sector level or at any level of disaggregation. Results can be compared within sectors, across sectors and across localities.

  10. Key measures can be reviewed singly or in combination. Techniques like heat mapping can be used to visualise the most significant sector activities in terms of value, employment, growth etc. By filtering the results sector strengths and priorities become clear. How do strengths and gaps relate to our inward investment activities?

  11. Sector activities can also be analysed and modelled using multiple measures (bubble charts and quadrant analysis), typically identifying strengths and weaknesses in terms of employment, value and growth. Results can be compared across sectors and localities. Develop strategies for moving sector activities into the “hot” zone

  12. All of these techniques, with an emphasis on what a sector activity contributes and how its compares, create a focus on differences, advantages and sustainable competitiveness. More informed decisions can be made about what resources to invest, where and why. Focus can vary, depending upon priority- Employment? Growth? Best options for both?

  13. When resource allocations have been made, they can be monitored and reviewed by periodically updating the data to identify where key measures have changed. No expensive reports, just data delivered in the identical format showing the rate of change- and where Dash board measures can show annual values, annual shift and trend

  14. Innovation is critical to sustainable growth. Sector activities can be mapped and compared for innovatory performance by combining a variety of market “push” or “pull” measures. Results can be interpreted and prioritised, resulting in new insight to drive new High Tech initiatives. Target zone

  15. As well as mapping innovation, we can create dashboards for monitoring a range of “proxy” measures for Market Innovation. These dashboards can be used for monitoring movement in measures over time and to compare innovation for different activities within a sector. Create a dialogue with companies about how they measure up

  16. We assemble company databases that can be coded for sector activities as well as by SIC. This means that company and activity clusters can be mapped and analysed as a precursor to planning for local interventions or support/ development programmes.

  17. For each sector we are able to estimate employment levels, employment growth and forecast changes in the skills base over a fixed period. This analysis can be applied to all sector activities.

  18. We can forecast what occupational skills will grow/ decline, by how much and what impact this might have on the sector skills mix and employment opportunities. We can do this in greater detail than by using SOC codes because of our detailed industry sources.

  19. We can explore and quantify changes in the skills base by sector activity and by locality, thereby improving the ability to understand, manage and train for industry needs i.e. what mix of engineering skills may be required.

  20. Sector skills shift can be measured using the actual business mix of the locality (rather than against national norms) and the future demands for skills both within and across sectors can be assessed against the current workforce. Which skills into what sector activity and by when?

  21. Sector activities are broken down by “type” i.e. Manufacture, R&D. Types of activity can be compared within and between sectors and countries. Different regions (example below) can also be compared with the “norm” for that country to identify specialism and gaps How are we represented across the value chain and how do we compare?

  22. Sector activities can be analysed to show the relative values of Manufacture v. Service v. R&D and to compare the “business mix” with other sectors and other localities. Analysis of activity types may also help to identify cross- sector specialism in Software, Consulting etc. Are we focused on manufacture or services? Which is growing fastest?

  23. While most data is historical, we provide time series analysis of sector growth forecasts, by region, UK and internationally. In times of economic uncertainty, these mini- forecasts (based upon a wide variety of sources) can act as a barometer of economic confidence. We can compare the effects of the recession on different sectors using a monthly/ quarterly time series of forecast growth rates. We can use time series to measure sectoral confidence and the depth, length and “shape” of recession impact.

  24. We can monitor and compare the forecast performance of different activities within a sector or across different sectors or across different countries. Such analysis of how an activity performs through economic uncertainty can be used to plan for a sustainable economy. Shallow decline and fast recovery show a resilient industry

  25. All trend data can be viewed using historical or forecast trends in a variety of formats. Trend data may be at 1, 3, 6 or 12 month intervals. All trend views are automatically refreshed so that clients can monitor market conditions and review market assumptions. Multi year development programmes may need re-evaluation as market conditions change

  26. Mini- forecasts can be used to model the future impact of growth trends on sector activities for any given locality. This modelling of economic “shift” can be used to assess possible outcomes (in terms of growth, employment and company birth rates) and the need for new initiatives Modelling long term trends may reveal significant changes in the economic mix

  27. Our global data sources enable us to map international sales and markets for all sector products and services. When combined with our international trade data (imports and exports) and growth data this provides a good understanding of global competitiveness.

  28. International Sales and Markets can be compared across global regions (Europe) or across selected target countries. Each country market can be analysed for each product/ service activity. How does sales growth compare with other major economies for this sector?

  29. Market opportunities can be compared using tabular data or heat mapping, where colours are used to identify attractive countries and products. This data aids trade targeting and overseas export mission planning and may help companies make more informed growth decisions

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