Data Preparation Fundamentals

DATE: June 14, 2022

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

This webinar is sponsored by:

About the Webinar

Whether you call it data munging, data cleansing, or data wrangling, everyone agrees that data preparation activities account for 80% of analysts’ time, leaving only 20% for analysis. Shifting this work to more specialized talent represents a major source of data analysis productivity improvements. This program “walks” through the major preparation categories including collection, evaluation, evolution, access design, and storage requirements. Understanding each in context also provides opportunities to develop complementary Data Governance/ethics frameworks. A generalized approach is presented.

Learning objectives:

  • Appreciate the savings that can accrue from transforming data preparation from one-off to an improvable process
  • Recognize what data preparation knowledge/skills your organization has and/or needs
  • Better know the transformations that data can survive as it is prepared to be analyzed

About the Speaker


Peter Aiken, PhD
Professor of Information Systems, VCU and Founder, Anything Awesome

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Peter Aiken, an acknowledged Data Management (DM) authority, is an Associate Professor at Virginia Commonwealth University, past President of DAMA International, and Associate Director of the MIT International Society of Chief Data Officers. For more than 35 years, Peter has learned from working with hundreds of Data Management practices in 30 countries. Among his 10 books are the first on CDOs (the case for data leadership), the first describing the use of monetization data for profit/good, and the first on modern strategic data thinking. International recognition has resulted in an intensive schedule of events worldwide. Peter also hosts the longest-running DM webinar series (hosted by dataversity.net). From 1999 (before Google, before data was big, and before Data Science), he founded Data Blueprint, a consulting firm that helped more than 150 organizations leverage data for profit, improvement, competitive advantage, and operational efficiencies. His latest venture is Anything Awesome.


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