Investing an Agile Analytics Expansion

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At Blue Hill Research our core mission is to identify drivers that compel technology investment decisions and to document the impacts of these decisions on the organizations that make them. As such, when we had the opportunity to conduct a dedicated research study into Lavastorm and to document exactly why their customers choose them, we jumped at the chance to explore their agile analytics solution.

In detailing our findings we hope to provide guidance to business leaders who are facing similar choices in conquering what we see as a primary challenge for today’s organizations: the growing complexity of enterprise data environments.

We held deep qualitative interviews with four Lavastorm customers ranging from some of the largest communication service providers in North America to a niche wireless networking company. We investigated the underlying reasoning behind why these firms chose Lavastorm and why these organizations continue to expand their Lavastorm investment year over year.

From a macro perspective, Blue Hill Research sees more and more organizations growing into challenges associated with complexity and limited visibility as they adapt to doing business in an increasingly social, mobile, cloud, and IoT enabled data environment. Whether managing M&A activity, tracking customer conversion rates, or reconciling customer billing processes – the volume of data, variety of sources, and multiple constituents involved, make it extremely difficult to confront analytic challenges in an agile manner.

In solving these challenges, Lavastorm’s customers choose Lavastorm for three primary reasons:

  • Enterprise Scalability

  • Agile Analytic Application Development

  • Visual Data Flow and Traceability

The analytics applications these organizations built, and continue to build, are tied to mission critical operations such as billing and core financial processes. As such, they needed a solution that worked flawlessly at the scales of processing millions or billions of rows of data on a daily basis. Further, when building applications they saw value in Lavastorm’s ability to allow for rapid iteration and optimization in production environments.

Rather than investing resources in rebuilding or reverse engineering applications, Lavastorm was unique in its ability to allow for agile analytic application development at the scale these organizations required. Customers identified that the visual ‘flow based’ display of data created a number of compelling opportunities. Not only does it provide visibility into the exact flow and lineage of data within previously opaque processes, such as customer billing, but also it allows for collaboration between technical and non-technical business users – allowing them to validate and optimize analytic applications as they build them.

In our complete “Anatomy of a Decision” research study, we document the specific nuances and challenges of the four studied organizations. The study outlines the primary differentiators of why customers chose Lavastorm and also quantifies relevant business impacts resulting from these investments.

We encourage business and technology decision-makers that are facing such challenges to learn from the experiences of the studied companies and to draw insights from relevant parallels at peer organizations. Decision-makers would do well to understand these outcomes as they seek to build agile analytic applications in an increasingly complex enterprise data environment.