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Available On-Demand - This webinar has been recorded and is now available for download.

Multilayered Data Lineage: Understanding Your Analytics Environment from Start to Finish

TDWI Speaker: Claudia Imhoff, Intelligent Solutions, Inc.

Date: Wednesday, January 12, 2022

Time: 12:00 p.m. PT, 3:00 p.m. ET

Data is only meaningful if it is understood, trusted, and used. In today’s data and analytics environments, achieving these goals is more difficult due to the complex and often confusing manipulations that data undergoes before it ultimately ends up in reports and analytics assets.

If the business users and technical implementers have little idea of where the data came from, what changes happened to it as it moved through the analytical processes, or what reports or analytical assets used that data in their creation, it is reasonable for them to assume that the environment is chaotic and uncontrolled. They will be reticent to use the data and assets. The three goals may never be achieved!

Fortunately advances in data lineage give organizations with messy analytical environments an easy way to dig themselves out of this quagmire. In this session, we discuss not just the need for data lineage but the different levels or layers of detail data lineage can offer.

Specific examples of use cases and a demonstration of technological support for these different cases will be presented.

Attendees will hear:

  • A brief overview of data lineage and the problems it solves
  • The different layers of data lineage: cross-system or horizontal lineage, end-to-end column or vertical lineage, and inner-system lineage
  • The benefits an organization can expect to receive from these layers of data lineage usage
  • The best practices or considerations when implementing this type of technology

Guest Speaker

Irit Shwarchberg
Customer Success

Currently heading Customer Success at Octopai, Irit is a BI expert with more than 10 years of experience leading complex data projects in IT and Telecom, both on the development side and the analysis side. Informatica, Cognos, Qlikview, BO, Pl/Sql and MS-SQL Server are just a few of her very close acquaintances.

Claudia Imhoff, Ph.D.

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