Location Intelligence is the use of spatial reference for the improvement of Data Visualization, Analysis, and Event Forecast. Through the connection of alphanumeric and spatial data an additional and intuitive view is created, which makes it possible to recognize spatial patterns, trends and potentials. Through the consideration of spatial conditions, Location Intelligence creates an optimized entrepreneurial decision-making base in Business Intelligence Solutions, and an improved customer interaction, as well as integrating a higher process quality in business processes in CRM Solutions. However, the question remains of HOW one can usefully establish Location Intelligence in a company. Basically, there are 3 cores to differentiate: Location Discovery, Location Analytics, and Location Optimization.
More and more companies are deploying Location Intelligence solutions to better leverage their investments in Business Intelligence solutions. These companies are seeing demonstrable improvements in operational metrics, customer growth and revenues. In a recent benchmark research study from Ventana Research; 61% of participants said Location Intelligence is very important in helping to improve business processes and performance.
Location Intelligence (LI) solutions have been turning the heads of decision makers in the Communications Services segments recently, reflecting the positive momentum coming from other industries. Why has LI gained so much attention? Location Intelligence, done right, can produce almost immediate impact on the bottom line.
Well-designed location analytics solutions enable retailers to more quickly and easily transform data into visual information that provides actionable insights. By visually examining existing data on a map, through multiple layers, or widgets (time slider, heat mapping, etc.) one can better identify hidden trends, enhance customer relations, monitor customer behavior, and gain an understanding of their overall operations.
Sales force optimization is a continual process heavily influenced by geographic dimensions, which are continually changing. One of the many value propositions that Location Analytics provides to organizations is to dynamically display customers and prospects on a map, along with the sales territories, BI and other operational data. The data can then be more quickly queried and analyzed allowing sales management to make more informed territory decisions and sales reps to manage their activities more effectively.
Today there are many well-documented and proven use cases proving the business value to enabling a Location Intelligence solution. In this paper learn why more and more businesses turn to Location Analytics solution.
Retailers understand exactly how powerful data can be. Every day, they interact with data from the point of sale (POS), customer relationship management (CRM), supply chain management (SCM), enterprise resource planning (ERP) and many other sources. Whether they are applying analytics, generating business intelligence (BI) or running reports, retailers are focused on using all the available data to make better decisions, enhance efficiency and improve profitability. But what virtually all of these sources of data fail to deliver is a geographical component.
Creating a Location Analytics strategy starts with data. The massive amount of data that is collected by organizations these days is staggering. Transforming this volume of data into valuable information is a major challenge in many organizations.
Location is a central factor in business. The location can be an address, a sales territory, a delivery route or an administrative boundary. These features can be visualized, analyzed and managed in a Geographical Information System (GIS).