Developing a BI roadmap helps you to assess the current state of your analytics landscape and allows you to plan for the technology stacks, infrastructure and hosting options that you will need as the company progresses.
Organizations often choose metrics not based on strategy but based on the amount of effort that data collection and consolidation requires. BI can rectify the situation, empowering you to analyze the metrics that really matter instead.
Predictive Analytics analyze past and present information to make future forecasts. For example, they are being used in presidential elections to defect fraud or by organizations to find potential customers, and more.
Real-time analytics are needed when high velocity, high volume data has to be interpreted to find trends and patterns in customer behavior so that immediate and real time corrective action can be taken.
Trend analysis enables organizations to discover "patterns" or "trends" in the data. Forecasting techniques use this information to extrapolate what could happen in the future if those trends continued.