Posted on March 4th, 2013 by Praktan Kadam
The demand for business intelligence data only continues to increase, putting BI vendors and practitioners under the gun to develop new technologies and improve existing processes in order to boost the performance of BI systems and maximize their return on investment. With growing data size a new idea can be brought into practice to improve the effectiveness of data analysis through higher number of users. Deploying Business Intelligence and Analytics solutions at operational level can increase the utilization of data in many folds. Operational BI enables companies to more closely entwine data analysis with ongoing business operations.
Even today business intelligence and analytics continue to be means for Top Management users to gain the strategic insights. However, this trend does appear to be changing as organizations maneuver to make analytics solutions available to different groups of people at all levels.
In Traditional BI, data from disparate sources is brought together in a data warehouse for reporting and analysis. While this works for strategic planning and high-level decision making, it isn’t always ideal for the rest of the enterprise. To make business intelligence capabilities more broadly accessible and applicable, many companies are moving toward operational BI, in which analysis is closely integrated with business operations and processes.
With operational BI, analysis can take place in tandem with business processing, so problems can be spotted sooner. But with improving sheer number of BI users, organizations can increase the magnitude of data analysis. The simple logic of numbers will suggest that with more users using analytics tools, larger volumes of data can be analyzed and better insights can be derived. Data captured at multiple levels brings in tremendous opportunities if used in the best possible way. Big Data solutions coupled with High Performance Analytics can provide a perfect blend for making the best out of gigantic data sets. Yet, the users remain the most crucial part of this plan irrespective of solution, strategy or requirement.
Traditional approach provides a backwards-looking view of the business. Operational BI on the other hand can help with Real-Time data analytics. That enables the creation of a performance and feedback loop in which decision makers can analyze what’s happening in the business, act upon their findings and then see the results. Yet, not every process in a company needs real-time data. you need to determine which users really require up-to-the-minute data, can justify the expense of providing it and can actually handle getting data delivered to them more than once a day. The others may get along perfectly well with historical data, or a combination of that and real-time data.