Can Agile Principles Help to Improve Big Data Efficacy?

It’s not surprising that Big data has been instrumental in organizational success and has helped many businesses and IT firms to realize functional efficiency and market share.

The Big Data Lead
Big Data is a vast collection of organizational data, which modern enterprises are turning into decisive insights via analytical means. Every data bit is necessary when it comes to putting big data analytics at work. This data comes from a variety of organizational sources, ranging from clickstreams, social media interactions, operational data points or functional logs. By applying analytical algorithms and automation tools, an organization can use its data goods to derive actionable insights and make informed market decisions.

Driving it the Agile Way


Agile, as a concept, has transformed the premise of software development and modern business routine at large. Agile principles are the leading motivation for a vast range of functional supremacies and therefore imposingly adopted in the development realm to achieve desired deliverables. However, when it comes to Big data block, not many organizations have taken the Agile route. When it comes to the development of Big Data projects, a majority of enterprises have kept it old school despite their associated inefficiencies and bottlenecks.

Although the long-established development approach goes well with big data project modeling; however it cannot get decision-makers and data professionals together on comparable grounds. Going by the traditional course, development teams often need to go through the long row of verification, integration and continual refinement of the model until desired results crop up.

Big data analytics is employed to uncover hidden patterns and insights at prompt timings to help an organization invest in the most profitable trends. However, with traditional analytical tools and development approach, it would considerably take more time and effort in decision-making, thus curbing down sizeable benefits.

Agility to Drive Insights


With proven track record across various development divisions, an Agile approach can notably help development teams to drive big data projects with its befitting logics successfully. Agile development at heart is a cross-functional, collaborative strategy that promotes continuous refinement of products and data. It helps development teams to devise bug-free and fully functional builds after each iteration based on user feedback.

By following an Agile approach, data professionals can work upon smaller MVP sets backed by continuous testing processes to construct a suitable build. With each increment, cross-functional teams can deliver production-ready sets, validated with accurate data during the project journey. With agile, teams get to invest in initial validation, inherent flexibility and user feedback which are the prominent factors that help big data projects succeed. By assuming early user feedback into the delivery lifecycle, production teams can significantly reduce the risk associated with big data utility.

The Upshot
An agile approach can help organizations to realize the value from their data insights promptly and solve existing business challenges and discover valuable trends. The approach not only helps the development teams to devise appropriate solutions but also allows analysts and data professional to gain actionable insights even from larger data sets quickly. At Pratham, we understand the power and potential of Big data analytics and its importance, especially in today’s competitive business world. We are the data analytics solution provider across multiple geographies with elaborate experience and expertise in agile driven development. Visit us to know more about our services.