Understanding Data Governance and Data Analytics in Information Management

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Data Governance and Data Analytics play crucial roles in transforming data into knowledge and insights for generating positive impacts on various operational systems. They help bring together disparate datasets to glean valuable insights and wisdom to drive informed decision-making. Managing data maturity is essential for proper analysis in the industry, with a focus on authoritative data. Industry hot topics like Data Governance and Data Capability Maturity Modeling emphasize the significance of data as a vital asset. Specific frameworks and strategies, such as those of Ohio DOT, highlight the importance of Data Governance for effective information management and lifecycle processes in the data industry.


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  1. Data Analytics and Data Governance Allen Ibaugh, AICP,GISP

  2. Data Governance and Data Analytics Information Management Systems and Databases track and provide data and information Data Analytics takes data and information and turns it into knowledge and insight so we may gain wisdom and use that to generate positive impacts on our operations Data Governance is required to help bring different dispirited datasets together for analysis to allow knowledge and insights to be gleaned from the data and information provided from different operational systems like Work Management, Asset Management, Project Management, Finance, etc. DATA > INFORMATION > KNOWLEDGE > INSIGHT > WISDOM > IMPACT

  3. Managing Data Industry Hot Topic: Data Governance: Data is THE Asset

  4. Data Capability Maturity Modeling Like mentioned earlier; data maturity is key to understanding direction. Must have authoritative data to do proper analysis

  5. Data Governance Industry Hot Topic: Data Governance

  6. Ohio DOT Data Strategy Industry Hot Topic: Data Governance: ODOT Strategy

  7. Ohio DOT Data Governance Framework

  8. Ohio DOT Data Life Cycle

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