BI is going Mobile – in a ‘Big’ way. Business decisions are not always made in the corner office or cubicle. They are made on retail floors, in delivery trucks, on an ambulance, or at the laboratory.
Mobile BI delivers intelligence to where ever your team makes the critical decisions. By delivering the right information to the right people at the right time, mobile BI accelerates response to real-time information and enables a more agile enterprise.
Big data is exponentially enhancing intelligence quotient of BI by better leveraging all data inside and outside an enterprise; this intelligence can empower business decisions in terms of both timing and reasoning
Combination of Mobile BI and Big Data
Now the combination of Mobile BI and Big Data further reduces the gap between data generation and business decision.
In a recent survey conducted by SAP, 70% of CIOs envisioned killer Big Data apps useful to their enterprises, but interestingly most of them chose not to reveal the idea as it would reduce the competitive advantage.
What types of mobile analytics on Big Data apps could these CIO’s consider so critical to a market advantage? Possibilities include geospatial intelligence, behavioral intelligence, enhanced customer interaction, etc.
Sample Use case
For U.S. Xpress Inc., a trucking company based in Chattanooga, Tenn., the driver to move to Big Data analytics and real-time BI reporting was a desire to get more out of the large volumes of sensor data being collected from the company’s trucks. U.S. Xpress was looking to use the data to enable its fleet managers to “answer very specific, detailed questions” about trucking operations.
Phani K Reddy is a Big Data Architect with Bodhtree, a leader in Data Analytics, Business Intelligence, and Big Data services. Bodhtree provides Hadoop implementation and maintenance services as an end-to-end service to solve specific business challenges.