A Business Intelligence tool will always be more effective with a powerful Data Warehouse. As noted above, the reach of BI tools in organizations is currently at about 25%. Collect business intelligence data from available industry reports, public information, field reports, or purchased sources. One of the most effective processes we have developed to help customers benefit from data-driven insights is what we term ‘Value-Based Design’.
Some examples of business intelligence technologies include data warehouses, dashboards, ad hoc reporting, data discovery tools and cloud data services. Howson explains that organizations generally opt for classic BI for certain types of reporting, such as regulatory or financial reports, where accuracy is paramount and the questions and data sets used are standard and predicable.
Business Intelligence uses past and current data whereas Business Analytics uses past data to extract insights and run the business operations that drive the customer needs and increase productivity. Apart from the secondary data, a large amount of primary data is being collected from smart cards, telematics systems, GPS systems and vehicle detection systems, almost on a real-time basis.
At the same time, you’ll also want to make sure that security measures are in place so that only those authorized to access certain data can do so. CRM software consolidates customer information and documents into a single CRM database so business users can identify high probability customer conversions effectively.
While users across the organization can now craft a thoughtful, compelling, and visually stunning analytical story using data visualization extensions. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others.