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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. ? Click the links below to navigate to different sections What are data maturity models? Why do we need data maturity models?

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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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The top 15 big data and data analytics certifications

CIO Business Intelligence

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126
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From Chaos to Control with Data Intelligence

erwin

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5 New products and services.

Metadata 141
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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. Chief Quality Officer 1. Director Data Mgt and Advanced Analytics 1. Data Governance 1. VP Analytics/VP Data 2.

IT 52
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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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Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

As a result, Data, Analytics and AI are in even greater demand. Demand from all these organizations lead to yet more data and analytics. In the realm of AI and Machine Leaning, data is used to train models to help explore specific business issues or questions. With data comes quality issues.