PALO ALTO, California — December 15, 2015 — Maana, the analytics platform that operationalizes big data insights into line-of-business applications, today announced further enhancements to its software, making it the most powerful end-to-end platform for discovery and operationalization of big data insights for Fortune 500 companies. Maana takes a fundamentally new approach to big-data analytics by using its newly patented Emergent Semantic Graph and unified index strategy to search across all data silos and data types. Maana’s user-guided, machine-assisted approach makes it easy and intuitive for users to find and draw correlations between data from disparate sources in the context of the asset or business process to be optimized. The platform uses Apache® Spark™, which supports advanced machine learning algorithms and distributed compute. Today’s announcement introduces major enhancements, including: flexible knowledge modeling, advanced analytics, operationalization of data mining models, and a highly intuitive UI to easily navigate descriptive statistical analysis.
Using Maana, Fortune 500 companies can organize their siloed data into new knowledge for discovery and operationalization of insights. Going beyond data discovery, Maana brings big data insights as recommendations directly into line-of-business applications to enable thousands of employees to make smarter day-to-day decisions.
“By providing a more holistic view of assets and business processes, enterprises are now able to gain unparalleled insight into optimizing those assets and processes,” said Donald Thompson, founder and chief technology officer at Maana. “Many of our customers have turned to Maana after trying multiple technologies and solutions. They selected Maana because it is the only software platform that rapidly solves the most complex data analytics challenges of Fortune 500 companies without requiring an army of professional services experts and data scientists.”
Working with a Fortune 50 company that sought to optimize accounts receivable collections without increasing collector headcount, Maana improved A/R collections by 65 percent over the prior year. Maana crawled and mined historical data, identified the factors that affect late payments, operationalized call queue insights in the collection system, and provided on-going recommendations that helped maximize A/R collections.
The Most Comprehensive End-to-End Big Data Analytics Platform
Maana’s end-to-end analytics platform enables enterprises to analyze data in multiple silos simultaneously, allowing them to dramatically accelerate – from months to days – the time it takes to get from raw data to continuous insights. These insights optimize key assets and business processes of Fortune 500 companies, which can translate into millions of dollars in increased profitability. Maana’s recent enhancements make the platform even more comprehensive by including:
Flexible Knowledge Modeling (with or without ontologies)
UI to Interactively Navigate Descriptive Statistical Analysis
Operationalized Deployment of Data Mining Models
Maana organizes the world’s industrial data and human expertise into digital knowledge to enable millions of experts to make better decisions affecting the global economy and human civilization. Using our Knowledge Platform™ and its proprietary Computational Knowledge Graph™, Fortune Global 500 industrial companies drive answers to operational questions that direct the future. Operating internationally, Maana is a privately-held company with offices in Menlo Park, California; Bellevue, Washington; Houston, Texas; London, UK; and Dhahran, Saudi Arabia.
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