|  | Excerpt from: Globally AWhere
| | | January 02, 2009 | | Location intelligence informs business analysis, providing decision-improving knowledge and understanding. | 2008 was a big year at AWhere. We released a new version of our software, signed some high-profile clients, launched a web-based service, raised investment capital and built a great team.
Based on the inquiries and sales pipeline we are seeing, 2009 is going to be the year that geo-analytics is recognized as the next step beyond location intelligence, and our business shifts into a serious growth mode.
What is geo-analytics? Please follow along, and you'll see what we mean. Each evolution corresponds with a further transformation of business-related information, which gets refined to allow better decision making, which always was, and always will be a major competitive advantage.
- Business Intelligence. BI (business intelligence) is well-understood. Analyzing key data, any organization can create operational efficiency by reducing costs and leveraging economies of scale that might not immediately obvious.
- Transformation: organizing and comparing data provides more accurate information about your business.
- Location Intelligence. LI (location intelligence) adds geography and location as a common denominator for analysis. When combined with BI, LI provides new geographical visualizations of business trends like sales performance, territory management and logistical operations. These visualizations are usually static, and are generated by expensive software and experienced GIS professionals.
- Transformation: adding the geographical frame-of-reference provides more knowledge about the relationships between information that don't appear in spreadsheets.
- AWhereness. We designed AWhere desktop software and web applications for professionals without any previous GIS training, and included three important abilities beyond basic LI:
- Dynamic interaction of a spreadsheet or enterprise database with the map, so that when changes or queries are made to one, they are simultaneously reflected in another.
- Multiple data layers, so discrete and incompatible data formats can be analyzed with the geographic context.
- Integration with time-sensitive data bases, including weather, so that your business analysis evolves along with new information.
- Transformation: interaction and correlation with outside data provide you with the understanding of the impact that different choices can make.
- Geo-Analytics. The application of the three key aspect of AWhereness lets you begin to ask new questions of your data. As an example, before our Awhere CPG TM tool was announced, it would take a strong category manager (a consumer-packaged-goods business analyst) approximately 200 hours to correlate and geo-visualize the Retail Link data from WalMart; now it takes 15 minutes. The result? You can begin to know things about that market that your competitor does not.
- Transformation: this ability to ask new questions of your data and analyze changes in the market (geographic distribution of credit defaults, as one example), as well as your competitors creates wisdom that is based in solid data and information, which enhances the intuition that professional develop over time.
Too theoretical? Check out these recent blog posts for very real world examples of geo-analytics in action, and then get in touch:
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