Moving from reactive problem solving to real time data driven insights through living data maps, smart data connectors on native cloud platform

Real Time Data Governance
Increasing focus on streaming analytics and real-time data-driven decision making at scale, is rapidly revolutionizing the IT ecosystem and data governance landscape in organizations.
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Streaming Data Security and Governance for Enterprise Operational Intelligence
we increasingly find that applying streaming big data and machine learning technology-based solutions are required - to effectively manage high-speed data at scale.
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Cross-selling Financial Services
A European bank wanted to uncover more business by predicting customer needs. Find out how Veristorm’s solution paid an unexpected dividend.
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vStorm Enterprise: Disrupting Data Integration
- Integrate enterprise customer and transaction data from mainframe and relational sources.
- Enhance your analytics applications and big data platforms without the traditional hurdles.
- Spark, Hadoop, NoSQL, Cloud? Add self-service, near-real-time data integration.
- DB2, VSAM, QSAM, Oracle, Teradata? We’ve got it covered. Even PL/1.
“Better data gives better results. We integrate enterprise data into big data for faster ROI from mining and predictive analytics”
— Sanjay Mazumder, CEO
Latest Blog Posts
25 Dec, 2017
Using Master Data Management (MDM)
MDM is information management of master data. However, MDM is not for all data. It is only about data that are worth managing (widely shared...
25 Dec, 2017
Given the emerging applications landscape it is clear that digital transformation demands continuous modernization with agility and velocity at its core. However, the existing...
25 Dec, 2017
Digital businesses necessarily need to be supported by highly integrated set of business applications. Integration is a key enabler of competitive advantage and usually ends up...
25 Dec, 2017
Streaming Analytics Applications
Big data technologies have made distributed computing and massively parallel processing available to support processing of both structured and...