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Data Maturity Models | Measure The Health Of Your Data

Anmut

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Organisations that reach the highest stage of data maturity achieve a market value increase of up to 500%, compared to lower maturity organisations.

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The Foundations of a Modern Data-Driven Organisation: Gaining a Clear View of the Customer

Cloudera

This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. Data Strategy. The list goes on.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability. Synchronicity.

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HR and Talent in the Era of AI

IBM Big Data Hub

Processes such as job description creation, auto-grading video interviews and intelligent search that once required a human employee can now be completed using data-driven insights and generative AI. As such, HR leaders cannot simply rely on data and AI to make decisions. HR leaders set the tone.

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Day in the Life of an Industry Analyst at Gartner’s (Virtual) IT Symposium Xpo 2020 – Day 4

Andrew White

Almost every organization I spoke to is struggling with data and analytics and trying to work out how to re-engineer how their business leaders take decisions. Topics : (broader/full) Data and Analytics Strategy 20. Data and Analytics Governance and/or MDM 15. Data Management 4. Data Monetization 1. Innovation 1.

IT 52
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Day in the Life of an Industry Analyst at Gartner’s (Virtual) IT Symposium Xpo 2020 – Day 3

Andrew White

Topics : (broader/full) Data and Analytics Strategy 14. Data and Analytics Governance and/or MDM 10. Data Management 3. Data Monetization 1. Chief Data Officer/CDO 4. Director Data Mgt and Advanced Analytics 1. Data Governance 1. VP Analytics/VP Data 2. Retail and e-Commerce 2. Director 1.

IT 52