Dremio - How do You Realize Data ROI even as Data Warehouse Costs Soar?
Common Sense Virtual Roundtable:

How do You Realize Data ROI even as Data Warehouse Costs Soar?

December 15th 2021, successfully held

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Presented by

Dremio

Here’s what we discussed:

Enterprises are pouring money into data management software – to the tune of $73 billion. Yet only 22% of the data leaders have fully realized ROI, according to the 2021 Wakefield Research, data leaders including CDOs, CAOs, CDAOs, and VPs of Analytics/BI/IT are under pressure to monetize their data investments.

In this session, we discussed:

  • Take a closer look at the Wakefield Research on data value, including survey results in areas of scaling the architecture, data access, data freshness, and price-performance
  • How data leaders are looking to address these inhibitors of data value so as to drive meaningful return on the data investments you made
  • While you understand you have an expensive sunk cost for data warehouses, how do you drive newer analytics architectures directly from open data lakes for better financial governance and highly performant queries against vast amounts of data

Solution Expert 

Billy Bosworth
CEO at Dremio
LinkedIn

Here is what we learned:

Matt Hall, Vice President Information Technology, Molina Health Care

Hall’s company is a Medicare payer working with programs in 19 states. His role is to work with the business to deliver IT solutions to their business teams.

Hall believes it makes no sense to have 1000s of SQL servers scattered across his organization and is trying to move away from it. He now can remotely train personnel across the system to operate new tools but is running into resistance from people not wanting to take the journey.

They now have a dedicated IT communications officer whose role is to teach people that their data silos are going away, but it all will be available in the Cloud. They landed the raw data there and transformed it.

Because the health care companies, they work with are independent, they operate like fiefdoms going out and hiring their own data analysts and creating databases, something he has been trying to discourage.

Harish Ramani, CIO, Helen of Troy

They have a monolithic ERP system and are now adding in a SAS system. In the existing model they are approached with business problems and then have to extract the data from the ERP. The addition of SAS was not by choice, but what was available with their existing system.

They are using multiple vendors to prove the middleware to service the SAS across the business, creating complexity in getting the whole thing to work.

There is a reluctance to go with a Cloud journey because of what they saw happen with Amazon and Ring.

Request detailed session notes

We are careful about who we send this key document to. The session notes will be sent based on the request, provided your profile matches our qualification criteria.

About Dremio:

Dremio is a high-performance SQL (data) lakehouse platform built on an open data architecture that helps to accelerate BI and Analytics directly on cloud data lake storage. Created by veterans of open source and big data technologies, and the creators of Apache Arrow, Dremio is a fundamentally new approach to data analytics that helps companies get more value from their data, faster. Dremio makes data engineering teams more productive, and data consumers more self-sufficient.

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