TBDEG – ciuTshi: The Adaptable Data Operations Framework

Many organizations pursuing advanced analytic models need high-quality data. Organizations often overlooked the essential data processes required to build solid research environments in a rush to implement data science practices. Failure to establish data fundamentals is detrimental in terms of vague metrics, poorly placed data professionals, and inability to assess data asset impact on project value.

ciuTshi is a simplified collection of data practice modules for establishing and building up your data best practices. Understanding that each data challenge is unique, the framework’s application can be tailored to develop repeatable data processes for valid models and critical data-driven decisions. The use of ciuTshi will result in a higher quality of data and, as a result, improve the value of data-driven decisions derived from solid metrics and advanced data science models.

In this talk, we will learn:

• Why data operations?
• What is ciuTshi?
• How ciuTshi works?

Bio: Joe Blankenship is the Lead Data Scientist at Certus Group: a Tampa-based company dedicated to building innovative data solutions and leading-edge knowledge systems. He currently specializes in data ontology research for data engineering solutions. Joe is also the co-organizer of the Tampa Bay Data Engineering Group, a former organizer for the Tampa Bay Data Science Group, and a technology conference organizer dedicated to bringing communities together.

Looking forward to seeing you all soon!