Company enhances self-service, real-time analytics for complex data sets
San Mateo, Calif., September 19, 2017 – Arcadia Data, provider of the first native visual analytics software for big data, today announced updates to its platform to streamline big data analytics with machine-assisted insights that allow greater accessibility and self-service to business analysts. Meant to reduce the complexity of handling modern data types and the associated workflows, Arcadia Enterprise version 4.2 is the next significant step in an ongoing path of innovation using machine learning and other methods to accelerate the value and usability of big data for business professionals.
Today’s business intelligence (BI) and analytics landscape requires IT teams and technical analysts to oversee the process of normalizing complex data types, to perform intensive extract/transform/load (ETL) processes, and to maintain a variety of data streams simultaneously. Those demanding tasks often result in inefficiency for business analysts to perform advanced analysis quickly when their tools force them to depend on IT for reporting and insights. Arcadia Data customers have overcome those obstacles to successfully deploy data lakes and modern analytical environments.
“Self-service analytics promises to democratize access to data and reduce time to insight. However, it currently also depends on having users with the requisite skills to visualize and interpret the data,” said Matt Aslett, research director, data platforms and analytics, 451 Research. “One of the early opportunities for widespread enterprise adoption of machine learning lies in providing recommendations for visualization of complex data sources, lowering the barriers to insight.”
The upcoming release of Arcadia Enterprise arms business analysts with the ability to handle bigger volumes of data with advanced capabilities to develop real-time visualizations and navigate the complex data types coming from many previously untapped data sources. The update reduces the need for IT intervention and enables the analysts to get to insights and collaboration faster.
Specific features available to business analysts in the upcoming release include:
- Support for real-time streaming visualizations with granular, time-based filters. The ability to pull the most recent data from any time window (i.e., hours, minutes, seconds) from streaming sources and refresh the visuals without manual polling, and the capability to play and pause streaming visualizations on true data streams;
- Arcadia Data Instant Visuals for recommendations on live big data sets. A built-in recommendation engine that provides instant side-by-side comparisons of ideal chart/graphic options on live data, as well as a variety of rich options for color and formatting selection; and
- Support for complex data types. Real-time streams of data without ETL and data flattening, gives analysts easier access to more data sources to explore and analyze in a self-service manner.
“The complexity of today’s digital world is mandating that all organizations be data-driven to maintain competitive advantage, thus raising the bar for modern business intelligence strategies and tools,” said Shant Hovsepian, cofounder and chief technology officer at Arcadia Data. “It’s the need for immediacy and scale that is increasingly putting pressure on IT teams to reduce administrative overhead and deliver more self-service. Our new release empowers business analysts with features like the machine-recommended visuals to get value faster from their data.”
The updates to Arcadia Enterprise will be available in the coming months.
For more information, visit https://www.arcadiadata.com/product/.
Learn more about streaming analytics in data lakes in this webinar with 451 Research, Accelerating Data Lakes and Streams with Real-time Analytics.
Read the Arcadia Data blog post on this new product release.
About Arcadia Data
Arcadia Data provides the first native visual analytics software that runs within modern data platforms for the scale, flexibility, performance and security users need to glean meaningful and real-time business insights and design data-centric applications in the era of big data and IoT. Arcadia Enterprise is purpose-built to analyze large volumes of data without moving it, filling the gap between self-service BI and advanced analytics for use cases like cyber security, connected devices, and customer intelligence. The Arcadia Data platform is deployed by some of the world’s leading brands, including Procter & Gamble, HPE, Royal Bank of Canada, Kaiser Permanente and Neustar. To learn more, visit Arcadia at www.arcadiadata.com. Follow Arcadia Data at @ArcadiaData.