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DESCRIPTION:Click for Latest Location Information: http://edw2024.dataversi
 ty.net/sessionPop.cfm?confid=159&proposalid=14972\nMost organizations want 
 to become data-driven. Some want to be data-centric. All want to make data 
 speak to tell them how to improve customer experience through advanced anal
 ytics, not only to understand the organization’s insights but to pred
 ict customers’ behaviors. When asked if they have a Data Strategy, mo
 st may claim they do, but most frequently, it is a technology-oriented docu
 ment indicating how they will move to new data platforms.\n\nA holistic, in
 tegrated, and open Data Strategy is needed to increase the probability of a
 ny data-related initiative. CxOs and data leaders agree on the relevance of
  having a good Data Strategy. Still, when it comes to investing time and re
 sources to define one, there’s usually more urgency for solving immed
 iate pain points. They feel jumping directly to buy and implement technolog
 y platforms will relieve the pain. Doing that without a good Data Strategy 
 will only increase the pain in the long run.\n\nThis tutorial describes the
  Data Strategy PAC Method. PAC stands for Pragmatic, Agile, and Communicabl
 e (in the sense of being easy to communicate). This method, fully described
  in the “Data Strategies for Data Governance” book, is an easy-
 to-follow ten-step cycle based on a Data Strategy Framework.\n\nFrom this t
 utorial, you will take away:\n\n
 Understanding of the relevance of Data Strategy for the success of data ini
 tiatives\n
 Knowledge of a Pragmatic, Agile, and Communicable methodology to produce a 
 holistic, integrated, and open Data Strategy in 9 weeks\n
 Examples of Data Strategy Canvases\n\n
DTSTART:20240325T083000
SUMMARY:T2: Data Strategies for Data Governance…and More!
DTEND:20240325T114459
LOCATION: See Description
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