Join Dan Linstedt as he "Unlocks the Vault" by diving into the fundamentals and foundations of Data Vault 2.0. In this podcast, Dan starts from the beginning laying out the foundations of DV2, how it came into being, and grew into a complete solution with demonstrable proof of how it ultimately mitigates substantial business risks. It's time to break apart acronyms, define jargon and complex terminology, and introduce Data Vault 2.0 to more and more people.
Episode 9: Building an OLTP on Data Vault - The Cendant Timeshare Story
Can you build an operational system on top of a Data Vault 2.0? Isn’t Data Vault solution only for analytics? Listen to Dan and Sanjay as they talk about building an operational application directly on top of your Data Vault solution. How does DV2 support direct operational applications and what are the implications of architecting your business operations in this manner? Learn how designing your operational application on top of your Data Vault 2.0 solution makes real time data analytic outcomes a reality without moving your data.
Episode 8: Minimalizing Rework, Reengineering, and Refactoring in Your Analytic Solution
How does the DV2 approach safe guard your analytics solution? Join Sanjay Pande and Dan Linstedt as they discuss the benefits of Data Vault 2.0, recounting stories from years of experience and the challenges they faced along the way. Hear how Data Vault truly is the complete solution that incorporates People, Process, and Technology and encompasses models and prescriptive approaches to mitigate the business’s risk.
Episode 7: How Does Data Vault Compare to Other Data Analytics Approaches
IT is a business unit and, as part of IT’s maturity, the ability to measure, identify, provide business value, and deliver on time are all integral aspects of demonstrable maturity. In this episode Dan talks about the different modeling methods and their accuracy and how Data Vault compares to Kimball architecture and model and Bill Inmon’s Operational Data Warehouse. Dan also addresses the impact of change on the different warehouse solutions – both to the physical modelling approach chosen and to the related data pipeline – and why the warehouse strategy selected introduces risk to the business in terms of costs and reengineering/refactoring efforts.
Episode 6: How Data Vault Ties Business Perspectives to Data for Success
After a fast recap of the discussions we've had starting with Episode 1 thru 5, we circle back to the story of Data Vault from a business value and risk mitigation strategy. Dan brings to bear the importance authorized CDVP2 training; standards developed through testing rigor versus best practices; why standards aren't defined by consensus; and how DV creates a solid foundation for the business’ analytics. We dig deeper into how Data Vault as a holistic analytic solution addresses true continuous improvement across the entire enterprise. Dan talks about how Lockheed's IT organization had to operate as a business in and of itself - and how running IT like its own business impacted the types of data and metrics Data Vault had to capture. Dan discusses how executive management can support their internal analytic efforts and where responsibilities lie between IT and the business in achieving accelerated business value and success.
Episode 5: Defining Business Terms and JP Morgan Chase's Data Vault
It's time to step back and define KPAs and KPIs in business terms. To do that, we have to ask "why are they important?" In this weeks episode we revisit mergers and acquisitions, addressing the challenges they introduce and how Data Vault resolves them in an auditable, transparent, resilient manner for the business. We'll also be diving into how JP Morgan Chase utilized their Data Vault solution to consistently, repeatably, and rapidly assess the value of a potential acquisition and then absorb and integrate the resulting data from those companies into their existing business operations.
Episode 4: The Need for Sound Methodology
Mergers, Acquisitions, and Divestiture of data. Can the business position its analytics solution to rapidly respond to due diligence demands? Can it deliver those analytics to the business in a governed manner? No matter what your business is or where in the business lifecycle you are, you need a solution blueprint that supports governed self-service outcomes for your business consumers and allows you to quickly respond to perceived risks. Take a peek into what managed self-service analytics is and how Data Vault reduces barriers to data and information use. Consider what due diligence might mean to your business' success and the value proposition / power of delivering the right data at the right time to your business users.