Logi Analytics Boosts Big Data Capabilities

Paul Ferrill

Updated · Mar 18, 2014

Logi Analytics has introduced the newest version of Logi Info, its business information platform. According to the company, Logi Info 11.2 provides new capabilities that make it easier for organizations to analyze Big Data sources, such as MongoDB. New features also make it faster and simpler to create analytic applications, dashboards and visualizations.

Among the capabilities that provide support for Big Data sources:

Expanded MongoDB Support. Building upon its partnership with MongoDB, a NoSQL document-oriented database, Logi Info provides improved support for building Big Data-driven information applications to retrieve, analyze, interact with and write data back to MongoDB.  Logi Info supports MongoDB Find queries; RunCommand queries for MongoDB aggregation pipeline and MapReduce; and updates, upserts and inserts.

Multi-Dimensional Expressions (MDX) Query Builder. A new query builder that enables code-free construction of MDX syntax for accessing data from SQL Server Analysis Services (SSAS) cubes so report authors can quickly create and use MDX to query SSAS.

Big Data Shaping. Data shaping technology that accepts Big Data sources that store data in hierarchical trees (Web services, JSON) or document (MongoDB) structures, and transforms, flattens and prepares that data for interactive analysis and visualization. 

Last week Logi Analytics announced a partnership with Cloudera, the latest addition to a growing list of Big Data analytics partners that also includes HP Vertica, Amazon Redshift, ParStream, MongoDB and Hortonworks.  Now Logi Info can power dashboards, analytics and visualizations with data coming from and/or joined across SQL, MDX, NoSQL, and Hadoop data sources to deliver critical insights that drive better decisions.

Logi Info 11.2 also provides new interactive visualizations, self-service and dashboard capabilities for Big Data, including:

Interactive Charts. New scalable vector graphic (SVG) charts that employ the latest styles for visualizations, use interactive animations and behave responsively to automatically resize and dynamically adjust labels.

Expanded Self-Service. End users can add data visualizations to their dashboards from Logi Info’s tables, charts, Analysis Grid, Analysis Cart, Dimension Grid and OLAP Grid so any analysis they conduct can be added to their interactive dashboards. Once added to the dashboard, these data visualizations are fully interactive and can return to the original source for further analysis.

Enhanced Dashboard Usability and Design. Improvements in layout and appearance provide an enhanced and more interactive experience for creating and modifying dashboards. Among the improvements are intuitive tab management using drag-and-drop for moving tabs, inline edits for faster renaming, and smart sizing and placement that allows users to personalize their dashboard designs.

In addition to its Logi Info platform, Logi Analytics offers a data discovery product called Logi Vision. Together, the integrated products enable Logi Analytics to address a broad range of customer use cases – from discovering insights in data, to providing access to information for users throughout an organization, including analytics embedded into everyday business applications. 

“Analytics everywhere means more people have access to the information they need, in the context of where and how they work, so they can easily make decisions based on data-driven insights,”said Brett Jackson, CEO of Logi Analytics, in a statement. “This demands an analytics experience that is not only highly intuitive, but that also includes any and all types of data. With our enhancements to Logi Info, we’re delivering a platform that harnesses the power of Big Data for analytics in one place for a comprehensive view of business performance.”

Paul Ferrill
Paul Ferrill

Paul Ferrill has been writing for over 15 years about computers and network technology. He holds a BS in Electrical Engineering as well as a MS in Electrical Engineering. He is a regular contributor to the computer trade press. He has a specialization in complex data analysis and storage. He has written hundreds of articles and two books for various outlets over the years. His articles have appeared in Enterprise Apps Today and InfoWorld, Network World, PC Magazine, Forbes, and many other publications.

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