Agile Business Intelligence (BI) & Big Data

Industries across domains are facing tremendous pressure of keeping up with the pace at which business environments are evolving - especially with respect to customer demands, market places, business models and product life cycles. What this has translated into is a need for capabilities that provide rapid data analysis with the speed, flexibility and accuracy. While traditional BI tools have proved to be very handy in handling massive amounts of data and churn insights, the need of the hour is to enable functional decision-making in drastically reduced time frames. And to enable instantaneous alignment of business processes with IT processes, organizations across geographies are redesigning and integrating their BI platforms to an agile framework.

Big data is ever changing and this change is driving core platforms such as BI to be more pliable to exercise the required business agility. There is also a need for a better method for delivering big data, especially in line with the concept of a supply chain. To answer these needs and accelerate delivery, a linear approach to quality and throughput is more effective - a data and information & insights (DII) supply chain.

Agile Business Intelligence (BI) & Big Data

In DII model, data, information and insights can be segmented based on the type of request submitted by the various consumers. Democratic and ubiquitous access to data could be aligned to 'optimization' activities where requirements for data confidence are high and universal access with typical business enrichment is required - for example an enterprise data warehouse platform.

Meeting the need for quick responses to inbound demands is the next piece in the puzzle of building an agile BI framework. An agile software development model provides the right blueprint to accelerate this communication and support of business. With a variety of cloud-based, self-sufficient and scalable BI solutions, distribution to a large audience can also be made possible rapidly and inexpensively.

It is evident that the enriched agile framework for BI stacks will disrupt the data landscape by changing fundamental notions of how businesses use data to respond, survive and thereby prosper in a dynamic environment.

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About the Author

Robert Bates As principal technical advisor and lead to the Wipro Analytics organization, Robert is responsible for advising on all service design, delivery and technology programs. He and his team evaluates and recommend co-investment customer research programs.

Robert is a veteran technology leader, performance advisor and a analytics architect with a deep background in process and technology stacks. His experience includes technology strategy, enterprise & information architecture, operations, solution/product development and organizational change.

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