How Big Data Is Making A Big Impact on Software Development

According to McKinsey & Company, “Analytics create value when big data and advanced algorithms are applied to business problems to yield a solution that is measurably better than before. By identifying, sizing, prioritizing, and phasing all applicable use cases, businesses can create an analytics strategy that generates value.”  (https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/advanced-analytics-nine-insights-from-the-c-suite)

Big data and analytics are transforming the way organizations do business in the digital age; analytics enable businesses to stay competitive, to make more informed decisions, and to identify opportunities for growth and development. While the amount of data organizations collect, produce, and distribute is staggering and continues to grow, the intrinsic value of that data as it relates to business insight is sometimes a challenge for organizations to harness effectively. The use of analytics to drive business decisions is a valuable tool that organizations are beginning to tap into.

Advanced analytics (both prescriptive and predictive) are driving overarching company strategies and goals. It is particularly impactful in software development and application development (AD). Advanced analytics advances the progress of the development process by using complex algorithms and machine learning to review vast data sets. In fact, analytics is helping to bring the sometimes elusive combination of speed and quality into the development process. “Gartner predicts that, by 2020, 50% of IT organizations will apply advanced analytics to AD in order to improve application quality and speed of delivery. Therefore, It’s certainly a good time for all AD leaders and CIOs to assess how these new technologies and approaches can benefit their organizations.”

Predictive analytics could be used to help an organization deliver more focused offers to their customer base. By reviewing client purchases, preferences, and online buying habits in order to create scenarios that predict future behavior, analytics allow organizations to cultivate and target compelling offerings to customer preferences and create buyer profiles that can lead directly to increased revenue. More importantly, you can build software and applications based on your customers’ and target market’s needs.

According to Gartner, “By using advanced analytics in their processes, AD leaders can predict problems the software might cause, and proactively guide testing teams to focus their time in the right areas. Beyond that, predictive analytics enables predictive maintenance of existing applications, meaning that AD teams can receive automated predictions on potential defects that are likely to cause the biggest problems.” (https://www.gartner.com/smarterwithgartner/prepare-for-major-shifts-in-enterprise-software-development/)

Employing automated testing platforms, such as Cycle, within the software development process, companies are able to utilize analytics to identify and resolve issues more rapidly, based on continuously testing data on a large scale. This can translate into a major competitive advantage and a better experience for your customers. Analytics can be a transformative tool in the digital age however, you should develop a clear set of goals to measure its value in your organization and a corporate strategy for how analytics will be used to drive corporate goals. Big Data could be a big deal in your organization.

This post was written by:

Becky Luis
Digital Content Manager

Becky is the Digital Content Manager for Cycle and Tryon Solutions. She has more than 15 years of experience in the software industry. When not geeking out about web design and tech, she enjoys spending time with her rescue greyhound, Romeo, or at home playing video games with her husband, Jermery.