Next Generation Data Analytics Workflow Introduced in Datameer 6

SAN FRANCISCO, CA--(Marketwired - May 24, 2016) - Further democratizing big data analytics by making traditionally complex tasks easy, Datameer today unveiled Datameer 6 to enable a new class of data-driven business analysts. Datameer 6 introduces an elegant new front end that reinvents the entire user experience, making the previously linear steps of data integration, preparation, analytics and visualization a single, fluid interaction. Shifts in context, tools or teams are no longer required every time a data change is needed saving both time and cost over traditional analytic workflows.

Datameer 6 also introduces the addition of Spark to its patent-pending Smart Execution™ technology, which intelligently selects the best processing framework for every single job while abstracting complexity from the end user. This addition ensures the fastest processing time, every time and allows the user to focus on the business problem at hand, instead of the underlying technology.

Next-Generation Analytics Workflow for Uninterrupted Data Discovery

According to Gartner, "The shift to the modern BI and analytics platform has now reached a tipping point. Organizations must transition to easy-to-use, fast and agile modern BI platforms to create business value from deeper insights into diverse data sources."*

As a modern business intelligence platform, Datameer is leveraging smart data discovery to transform complex, technical processes with easy-to-use point-and-click functionality. Building on this goal of simplification, Datameer 6 gives fluidity to the entire self-service analytics workflow between data integration, preparation, analytics and visualization in a single screen. By not requiring technical skills or the need for specialized tools, citizen data scientists are empowered to get the answers they need from their data.

"The immediate feedback loop that Datameer 6 will provide our business users with will make their data discovery process so much easier and faster," said Mathew Hawkins, global data integration and infrastructure manager at Surdome. "Now, they aren't required to go through a pre-defined analytics workflow and will have more time finding insights that matter to the business."

"Ease of use is becoming more important for business analysts who are overwhelmed with growing data complexity, and Datameer 6 is addressing this challenge to improve adoption among line of business stakeholders," said John L. Myers, senior analyst of Business Intelligence at Enterprise Management Associates. "By eliminating the friction between different workflow elements, users can clearly understand the impact of any data or calculation changes made as part of their data discovery activities."

Traditionally, the analytics process requires either specialized tools for each step that depend on different users and skill sets, or end-to-end-tools that require sequential workflows. Either approach can make for a long, uncoordinated, and often frustrating user experience that ultimately delays time to insight as potential new data quality and consistency issues may go unnoticed until the last step of visualization.

By seamlessly toggling between different phases of the workflow and with visualization at every step of analysis, users can freely approach data discovery with a checks and balance approach by instantly seeing the effects of changes made. This rapid, iterative approach to analysis gives business analysts a comprehensive view of their projects, increasing productivity and further shortening time to insight.

Future-Proof and Flexible Architecture for Optimized Performance

Datameer was purpose-built to have an open architecture that can quickly and easily incorporate new processing engines as they become enterprise-ready, so customers can leverage the best of the big data ecosystem. With Datameer 6, Datameer is further expanding its Smart Execution technology with the addition of Apache Spark, which frees users from having to determine which compute framework is optimal for their various big data analytics jobs by automatically optimizing performance across both small and large data. Datameer 6 simplifies the complexity of Spark so users don't have to learn the necessary programming in order to take full advantage of its processing capabilities.

"It's important for us to invest in a flexible data analytic architecture that meets our short and long-term needs," said Hawkins. "Datameer Smart Execution with Spark means we have one more option that can handle our processing needs, without us having to know what's going on under the hood."

"With the added focus on the speed of response associated with interactive data discovery, the addition of the Spark processing engine to Smart Execution demonstrates Datameer's ability to incorporate the benefits of new processing frameworks without impacting the data discovery process," said Myers. "This allows business analysts to concentrate on what's important -- finding insights from their data -- as opposed to how to configure and take advantage of various processing options."

Using Spark, tasks such as data mining and machine learning that run on Datameer's Smart Analytics are optimized behind the scenes so business users get new insights faster without needing to navigate technical complexities. This degree of flexibility ensures the best possible performance for processing individual analytic workloads and protects customers' investment in their big data architecture.

Incorporating multiple engines provides users with a one-stop-shop for a wide variety of analytical situations, and can scale for the multitude and variety of analytic processing needs that enterprise customers face.

"It's not enough to just get data analytics in the hands of business users -- it has to be extremely easy to use," said Stefan Groschupf, CEO of Datameer. "The user experience has to engage them with their work and the goals of the company and the back end needs to handle all of the heavy lifting while removing the technical complexity. We're bringing both to the market with Datameer 6." 

Learn More

To learn more about Datameer 6, please register for the upcoming webinar, "Introducing Datameer 6," which will be held Tuesday, June 21, 11am PT | 2pm ET, and visit us on our website.

*Gartner Press Release, Gartner Says Worldwide Business Intelligence and Analytics Market to Reach $16.9 Billion in 2016, February 3, 2016, http://www.gartner.com/newsroom/id/3198917

About Datameer

Datameer makes big data analytics simple. Datameer gives users a unified, self-service environment to integrate, prepare, analyze, visualize, and operationalize big data. Hundreds of customers, including CIOs, CMOs, CTOs, doctors, scientists, law enforcement officials, and even Olympic athletes all rely on Datameer to help them get from raw data to insight faster than ever. Datameer combines Hadoop's unlimited storage and compute power with a common spreadsheet interface and powerful functionality, quickly transforming businesses into agile, data-driven organizations.

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