Infogix Data Analysis Capabilities Now Support Big Data Environments
Naperville, Ill (PRWEB) March 15, 2016 -- Infogix, a leader in helping companies provide end-to-end data analysis across the enterprise, today announced a new platform capability to capture and analyze big data repositories when customers require data integrity validation. The platform now supports capturing data in its native format from three big data repositories - Hadoop, Cassandra and MongoDB. Infogix customers, through the Infogix Enterprise Data Analysis Platform, now have the same full breadth of capabilities to analyze data regardless if it’s in a data warehouse or a data lake.
The Forrester Wave: Big Data Hadoop Distributions, Q1 2016 report estimates that 100 percent of all large enterprises will adopt Hadoop, the open-source distributed software platform for storing and processing data, or related technologies, for big data analytics within the next two years.
Since the success of any big data project depends on an enterprise’s ability to capture, store and govern its data, companies are creating data lakes to manage and use data with increased volume, variety, and a velocity like never before. With large enterprises shifting to data lakes, it is becoming evident that the lack of data governance on key data parameters is necessary to ensure trustworthy data for reporting and creating accurate predictive analytics models.
“As our customers tackle big data implementations, we’ve been by their side listening to their challenges and opportunities, which led to innovating our platform to support data integrity around data lake environments,” said Emily Washington, SVP of product management at Infogix. “Our increased capability to analyze big data will ensure accurate, consistent, and reliable information for all of our customers to act on, enabling smarter business decisions, stronger marketing opportunities and new insights.”
Infogix’s Enterprise Data Analysis Platform is based on five core capabilities – data quality, transaction monitoring, balancing and reconciliation, identity matching and behavior profiling, and predictive models. These capabilities help companies improve operational efficiency, drive new revenue, ensure compliance and gain competitive advantages. Using Infogix, enterprises can detect data errors in real-time where they occur and apply automated end-to-end analysis to optimize the performance of big data projects.
“Infogix is committed to working with our customers to ensure the integrity of data in any complex business environment – regardless of the underlying technology,” said Washington.
To discover how Infogix’s enterprise data analysis platform can help businesses maximize the value of their big data and data warehouse strategies, visit http://www.infogix.com/big-data/.
About Infogix, Inc.
Infogix helps solve business challenges by analyzing data as it moves through complex business environments to improve the customer experience, corporate profitability and operational efficiency. The Infogix Enterprise Data Analysis Platform improves data quality, ensures effective transaction monitoring, provides balancing and reconciliation, identifies and predicts fraud and customer behavior. Infogix provides best-in-class solutions that seamlessly integrate into operations and allow clients to manage highly complex, data intensive business environments. By analyzing, processing and monitoring 100 percent of data in real-time or in batch, Infogix is able to provide proactive and actionable intelligence to manage operational workflows and steps. To learn more, visit http://www.infogix.com or @Infogix.
Lauren Russ, Connect Communications, http://www.infogix.com/, +1 (773) 868-0966, [email protected]
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