CONFERENCE PROGRAM OF 2021
Please note:
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Best practices in DataOps for analytics
Analytics team are struggling to create, publish, and maintain analytics to meet demand. Many analytics projects fail to meet expectations and deliver value. DataOps is the new approach combining tools and approaches to simplify the development of analytics and ensuring high quality data. DataOps shortens the life cycles, reduces technical debit and increases analytics success. This session covers the best practices for the analytics team to deliver DataOps.
Target Audience: Data scientists, project leaders, analyst, data engineers, project sponsors, business leaders
Prerequisites: None
Level: Professional
Extended Abstract:
DataOps is the next generation of analytics delivery that addresses the major issues of analytics technical debt, reuse of code, data quality, and incorporates the flexibility of agile. This session defines what DataOps is (it is not DevOps) and highlights the best practices to address some of the largest challenges preventing analytics teams from delivering analytics value. The session outlines how DataOps is used to inspire teamwork, improve data quality, incorporate agile delivery, and establish an environment for reuse and innovation.
With over 20 years of experience, Dr. Larson is an active practitioner and academic focusing on BI, data warehousing, analytics, and AI. Dr. Larson completed her doctorate in management in information technology leadership. She holds Project Management Professional (PMP) and Certified Business Intelligence Professional (CBIP) certifications. Dr. Larson attended AT&T Executive Training at Harvard Business School in 2001, focusing on IT leadership. She is a regular contributor to TDWI publications and presents several times a year at conferences. Dr. Larson is principal faculty at City University of Seattle in the United States.
