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DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps

DataKitchen

DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps Data (and Analytic) Observability & Data Journey – Ideas and Background Data Journey Manifesto and Why the Data Journey Manifesto?

Testing 117
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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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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

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. Finance Reporting 1. Director 1.

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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Top 10 Metadata Management Influencers, Sites, and Blogs You Must Follow in 2021

Octopai

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. TDWI – David Loshin.

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The New Normal for FP&A: Data Analytics

Jedox

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new.