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Smarter Is Faster
– Why Your Agile Business Needs Intelligent Data Analytics


OCTOBER 9, 2017

Data Analytics Insight Marketing
by Stephanie Collis
Head of Marketing, Zetaris
Follow me on LinkedIn & Twitter
The data’s in! Agile frameworks aren’t just here to stay, they’re the dominant way of doing business.

While originally developed to help break out of some of the harmful and onerous habits of traditional methods of software development, agile frameworks have spread to many other disciplines and industries, delivering value in everything from human resources, to product development, operations, sales and more. In the short years since the publication of The Manifesto for Agile Software Development in 2001, the usage of agile frameworks has exploded, with a survey conducted by HP indicating that as many as 67% of all software development businesses now lean towards or only practice agile.
Rising concurrently with agile frameworks has been the usage of big data analytics by commercial organisations, and when looked at in context it makes sense that the two would grow alongside each other. Fundamentally, an agile business needs big data as much as it needs to hold daily stand-up meetings and set achievable sprint goals. In this article, we’ll show how a smarter big data analytics engine is an essential part of any business looking to claim the mantle of ‘agile’, and how you can seamlessly integrate them into your operations.

Informing your decisions

It’s fundamentally understood that every business decision should be grounded in a thorough understanding of the market and your capabilities, and this need multiplies within an agile framework. Agile frameworks strive to avoid many of the issues that arise in extended product development wherein too many resources are devoted to problems that can’t be solved currently to the detriment of problems that could solved now. It involves a tightening of the company’s focus from an entire 18-month development cycle to at maximum a short ‘sprint’ – an intensive period of development which should produce a working prototype – of four weeks.

The goal of this is to avoid the classic problem of going to market with a product that stopped being relevant more than a year ago, building the objectives for each sprint around what the market is looking for now. This allows much faster pivots and adjustments throughout the development process, (hopefully) ultimately arriving at product that’s at the cutting edge when it hits market, even when conception occurred nearly two years ago.

Agile development relies on staff being allowed to creatively interpret the mission statement and make substantial changes to the overall direction of the project on the fly. To do this, they need information, and lots of it. Team members need to have rolling updates on the state of the market and of the resources available to them, otherwise they risk losing the key benefits of agile frameworks. Without a constant flow of high-quality data, your team is in the dark, and might lack the crucial insights that tell them when the market shifts, so they can shift with it.
The brains of your operation

Don’t let your team waste time pouring through incomplete analyses of data – cut straight to the chase and give them the complete picture up front, so they can start producing immediately. Choosing to build an analytic framework that automatically serves highly relevant insights in real time is fantastic foundation for any business looking to embody the principles of agile development frameworks.

At Zetaris, we help businesses execute effective analytics, custom building an analytics architecture for your organisation and opening up the power of actionable insights to every member of your company.

If you’re truly looking to make your business agile from top to bottom, start a conversation with a Zetaris consultant and find out how we could support you.
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