This Excel-based Data-rich Deliverable (DRD) that is part of the Manufacturing subscription includes market intelligence on IT: Personnel expenditures by level for the Manufacturing vertical. Compass Intelligence defines IT personnel as expenditures on internal staffing, part-time and full-time, within a firm's IT department. Manufacturing includes establishments engaged in the mechanical or chemical transformation of materials or substances into new products. Size of business includes SOHO (1-4 employees), Small Business (5-99 employees), Mid-Sized Business (100-999 employees), and Enterprise Business (Over 1000 employees). Process Manufacturing includes establishments engaged in the type of manufacturing where a product is produced or transformed through mixing, chemical reactions, etc. Examples of process manufacturing would be refining crude oil into gasoline, extracting copper from ore, combining materials to make paint. Discrete Manufacturing includes establishments engaged in manufacturing of distinct items (items you can easily count, touch, see) such as a pencil, a light bulb, a telephone, a bicycle, a fuel pump, etc. Discrete as opposed to process manufacturing. The Expert Guide for this deliverable is Stephanie Atkinson. Forecasts are from 2007 through 2012 and are broken out by Discrete and Process Manufacturing.
Additional Information
Sources: Compass Intelligence’s segment and market forecasts, which include business expenditures, market demographics, and usage and adoption statistics are built using multiple sources, including proprietary Compass Intelligence research. These sources include, but are not limited to, secondary research, government data and statistics (e.g. Department of Commerce, Federal Communication Commission, Bureau of Labor Statistics and US Census Bureau), primary research, vendor-based research and in-depth interviews with key decision-makers, where relevant. Compass Intelligence selects data sources to provide greatest degree of perspective on each market or segment, in addition to the highest level of data accuracy, stability, and consistency over time.
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