Octopai

APRIL 19, 2021

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.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Octopai

AUGUST 7, 2019

. – Processing: Here, too, cloud computing provides affordable, scalable computing power for the most demanding data processing tasks. For example, it has never been easier to create useless or misleading reports. More important, it has never been easier to lose track of important, sensitive data.

Data Governance 49

Data Governance Metadata Reporting Enterprise 49

erwin

DECEMBER 3, 2020

Ultra Mobile recently shared how it uses erwin Data Intelligence (erwin DI) as part of a modern, ongoing approach to data governance and therefore control versus chaos. Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

erwin

JANUARY 7, 2021

However, challenges persist if your organization doesn’t take proper precautions in supporting a remote workforce — from human resources to productivity and IT security – especially when regulations such as the European Union’s General Data Protection Regulation (GDPR) are involved. Click here to learn more and register.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

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

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

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. Data Governance.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

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

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. Data cloud architecture offers advantages like: Breaking down silos, Enabling better access, and.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

Octopai

FEBRUARY 24, 2021

Data and metadata are the glue that connects all these different hybrid system components. But tracking data through this type of environment can get rather… sticky. . The magic mirror of data lineage is the key to efficient, resilient hybrid BI environments , especially in (but not limited to) the following four key areas: .

Metadata 84

Metadata Reporting Data Governance Management 84

Andrew White

DECEMBER 9, 2019

The outline of the call went as follows: I was taking to a central state agency who was organizing a data governance initiative (in their words) across three other state agencies. All four agencies had reported an independent but identical experience with data governance in the past. Anything else you can think of.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

Octopai

MAY 5, 2020

They collected insights from 293 business and IT professionals across a wide range of industries, shining light on why automation metadata operations and the business glossary are priorities for organizations today. Use Case #2: Daily Data Operations. Another BI challenge comes from everyday metadata management operations.

Metadata 52

Metadata Reporting Data Warehouse Management 52

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

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

Octopai

NOVEMBER 23, 2020

Building an inventory of what will be affected is a huge undertaking across all of the data, reports, and structures that must be accounted for. Data lineage is crucial to every data user, but even more so in the Financial industry Find out why in our latest webinar, "The Essential Guide to Data Lineage in 2021" Watch It Now.

Metadata 54

Metadata Enterprise Business Intelligence Data Governance 54

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

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

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

FEBRUARY 20, 2020

After a blockbuster premiere at the Strata Data Conference in New York, the tour will take us to six different states and across the pond to London. Data Catalogs Are the New Black. Gartner’s report, Data Catalogs Are the New Black in Data Management and Analytics , inspired our new penchant for the color black.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

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

Alation

FEBRUARY 13, 2020

A key finding of the survey is that the ability to find data contributes greatly to the success of BI initiatives. In the study, 75% of the 770 survey respondents indicated having difficulty in locating and accessing analytic content including data, models, and metadata. Subscribe to Alation's Blog.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52