Big data adoption is increasing rapidly across organizations of all sizes. However, the method and distinction between obtaining Business Intelligence (BI) and employing Data Analytics (DA) to make actual business decisions with an impact are getting lost in translation. While both terms are used interchangeably, BI and DA are essentially distinct in many ways.
Quintillion bytes of data get generated in a day, now imagine handling those data manually! Impossible right? It would require immoderate manpower with no surety of accuracy. As we all are aware of the fact that organizations these days run on data and thus it is a vital task to manage and organize it. The data is received from multiple sources and stored at a centralized repository for usage, such as a data warehouse.
Value-based care is the new normal in the healthcare industry.
Healthcare stakeholders- patients, providers, payers, and suppliers are realizing the benefits of value-based care, and adopting it has become their major goal.
An organization’s data is its most essential resource and its day-to-day operations produce data in abundance. But to derive actionable insights that help make data-driven decisions, it is important to remove inefficiencies in the way the data is consumed and visualized. Business Intelligence, or BI, is a group of services that empower businesses to leverage their data for driving enterprise excellence.