Depending on what you do (product management, software development, etc.), you may call it software usage analytics, runtime intelligence, software business intelligence, or software intelligence (if I missed your favorite please add it in the comments). Software usage analytics is the ability to collect, analyze, present, and visualize data on the use of software applications and describes the solutions to understand the adoption of specific features, user engagement, product lifecycles, computing environments, and more.
Gartner recently included software usage analytics in its Hype Cycle for Customer Experience Analytics, 2018; Hype Cycle for Software as a Service, 2018; and Hype Cycle for Application Security, 2018, and defines it as “the detailed tracking and analysis of users’ interactions within a software application. It is used by software providers and application developers to understand users’ behavior at various levels of aggregation — individual users, users within a customer account and users overall. It provides insights that are used to improve user experience, prioritize feature enhancement, measure user adoption, track compliance and provide real-time user help.”
Our customers implement software usage analytics to better understand which features are adopted and which are ignored. This intelligence is very helpful in the software development lifecycle, but can also point to problems in UI or UX. It also helps them improve the experience of trial downloads: by understanding how (or if) the software is being used, they can better tailor their in-application messaging to these prospective customers and improve conversions.
All these use cases require a proven reporting and visualization framework to maximize the collection of actionable software intelligence with minimal end user and application performance impact. Our customers consistently tell us that the capabilities they value most in our software usage analytics system are:
Our product management survey revealed that 97 percent of the respondents said customer data is useful for feature prioritization or roadmap development which aligns with Gartner’s prediction that “by 2021, 75% of software providers will rely on insights from embedded software usage analytics to inform product management decisions and measure customer health.”
So whether you call it software usage analytics, runtime intelligence, software business intelligence, software intelligence, or even “the gift that keeps on giving” as one customer dubbed it, the ability to analyze how your applications are used is an invaluable tool for software providers. It enables you to create educated decisions on their products and understand how it is being used to ultimately drive new revenue. Revulytics Usage Intelligence is the first software usage analytics solution designed for distributed C/C++, .NET, Obj-C and native Java applications on Windows, Macintosh, and Linux, provides deep insight into application usage.
Marketing Director at Revulytics
Michael is Marketing Director at Revulytics where he is responsible for corporate marketing, content, and social media. He has helped to educate the industry on the benefits of software usage analytics for compliance and product management through the company's blog and contributed articles in trade publications. Michael was previously a marketing programs manager at The MathWorks and principal at Goff Communications. Michael earned a J.D. from Boston University School of Law and a B.A. from Colgate University.
During May 2018, as its deadline inched closer, Google searches in the United States for information around General Data ...
We recently launched the User Flow reporting module in Revulytics Usage Intelligence, and the initial feedback from sharing it ...
You have collected a wealth of runtime intelligence via Revulytics Software Usage Analytics which has helped you unearth some ...