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Complement and Extend Your BI Architecture

Protect your investment in existing data management, BI, and analytic solutions.

Podium integrates seamlessly with your existing IT infrastructure, including data warehouses, analytic appliances, data quality tools, metadata repositories, and more. With Podium, companies can migrate to a more modern BI architecture and continue to derive value from existing BI solutions. They enjoy immediate savings through simplification and automation, while building a foundation for more cost-effective data management with Hadoop. Consolidation, migration, and sunsetting of legacy systems can be done incrementally, quickly, and without disruption to the business.

TD Bank is working with Podium to transform its legacy data system hampered by hand-coded one-offs into a true enterprise data marketplace. With Podium, TD Bank has eliminated 40% of the IT costs associated with data preparation and cut the time required to deliver new data to the enterprise from six months to less than one day. 

Bridge The Gap Between Legacy Systems and The Data Marketplace

Unleash value from legacy mainframe data.

Podium is designed to work with legacy mainframe systems which are ubiquitous in large companies. In many cases, mainframes continue to drive mission critical backbone business processes. Valuable data exists in those core systems, but until now it’s been underutilized because companies had no easy way to move the data to BI platforms. Podium solves that problem with 100% automated data conversion of legacy VSAM/COBOL data to today’s standard data formats.  

Delivery Greater Value to The Business

Free time through automation and focus on more strategic projects.

Podium automates time-intensive, low-value IT tasks such as building custom data extracts. Since end-users can do this directly in the data marketplace, IT can work smarter – not harder, and deliver greater value to the business. Cigna, for example, uses Podium to prepare and deliver data to the business that is automated, standardized, and driven by metadata. Business users understand and trust the enterprise data, while IT is able to spend time on adding new, high-value data sources to the marketplace.