Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. That’s the idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

erwin

MAY 27, 2020

What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Nine Steps to Data Modeling. Provide metadata and schema visualization regardless of where data is stored.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Alation

MAY 19, 2022

Establish what data you have. Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data. Currently, he is in charge of the Technical Operations team at MIT Open Learning.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Ontotext

JULY 29, 2021

KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. The RDF data model and the other standards in W3C’s Semantic Web stack (e.g.,

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Octopai

JULY 12, 2020

An enormous amount of time was being wasted performing manual searches, as the BI team needed to frequently comb through the enterprise data warehouse’s fields to determine how each was calculated or to find their sources. Manual Data Mapping Slows Progress for BI & Analytics Teams.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

Alation

JUNE 14, 2021

Indeed, automation is a key element to data catalog features, which enhance data security. Selecting a Data Catalog. To support data security, an effective data catalog should have features, like a business glossary, wiki-like articles, and metadata management. And, finding data is only half the battle.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. There were 80 or so questions or comments posted and I was not able to respond to all of them live in the webinar so here are the verbatim questions and an individual response to each on. I hope they are helpful.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Cloudera

DECEMBER 15, 2022

With in-place table migration, you can rapidly convert to Iceberg tables since there is no need to regenerate data files. Only metadata will be regenerated. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Data quality using table rollback.

Metadata 76

Metadata Data Warehouse Snapshot Data Quality 76

Alation

MAY 4, 2023

Keep reading to learn more about the benefits of integrating data catalogs with data visualization tools! Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists.

Visualization 52

Visualization Metadata Data Governance KPI 52

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

Metadata 52

Metadata IT Metrics Data-driven 52

Alation

AUGUST 11, 2021

To answer this question, I recently joined Anthony Seraphim of Texas Mutual Insurance Company (TMIC) and David Stodder of TDWI on a webinar. The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. This makes sense: knowing your data and who can access it is a critical first step before any move.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

Alation

MAY 4, 2023

Keep reading to learn more about the benefits of integrating data catalogs with data visualization tools! Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists.

Visualization 40

Visualization Metadata Data Governance KPI 40

Alation

DECEMBER 2, 2022

A 2022 study found that 90% of organizations with a top-tier data culture either met or exceeded their revenue targets in the last 12 months. By contrast, ignoring data leads to grave mistakes. Airline Reporting Corporation supports DDDM with a data catalog to develop new data-centric products and accelerate time-to-market.

Data-driven 52

Data-driven Insurance ROI Metadata 52

Alation

FEBRUARY 17, 2023

The data governance team should define the policies, needed controls & reports and work with the technical staff (who are more data management-centric) to build these out. This is how you can better align data governance and data management by having a ‘one-team’ mindset as you work together, with a shared focus on results.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52