Octopai

DECEMBER 16, 2020

Performing BI metadata management manually is a complex operation requiring many dedicated hours to accomplish. Data Discovery – BI teams can locate metadata instantly, even if it is scattered across many different systems. But, this is just the beginning for BI teams looking to overhaul manual analytics.

Reporting 85

Reporting Metadata Uncertainty Business Intelligence 85

Alation

MARCH 11, 2022

This white paper makes this information actionable with a methodology, so you can learn how to implement a meshy fabric with your data catalog. For the full story, download the white paper here ! This data about data, AKA metadata , is an essential layer of your new meshy fabric. But how do you get started?

Metadata 52

Metadata Data Governance ROI Data Quality 52

Octopai

JANUARY 21, 2020

How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s.

OLAP 56

OLAP Metadata Online Analytical Processing Data Quality 56

Octopai

OCTOBER 8, 2020

Check out our white paper "Do I Need a Data Dictionary, Business Glossary or Catalog?" Download the White Paper. These days, when companies utilize a metadata management tool , the process is expedited and data catalogs (BI catalogs) can be easily managed. Want even more insight on these 3 powerful tools?

Metadata 96

Metadata Reporting Management Business Intelligence 96

erwin

SEPTEMBER 10, 2020

Furthermore, faulty decision-making based on inconsistent analytics and inaccurate reporting can cost millions. Data lineage helps answer questions about the origin of data in key performance indicator (KPI) reports, including: How are the report tables and columns defined in the metadata? Data Lineage Tells an Important Origin Story.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

Alation

MAY 17, 2022

The value of an analytics program stems from its ability to answer business questions. As the role in charge of crafting those answers, it should come as no surprise that the most important persona in any analytics program is the analyst. Without the analyst, there’s no analytics. Download the white paper today.

Metadata 52

Metadata Data Quality Machine Learning Reporting 52

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Allows metadata repositories to share and exchange. Adds governance, discovery, and access frameworks for automating the collection, management, and use of metadata.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Octopai

DECEMBER 15, 2019

Octopai is able to locate all data items defined by different metadata descriptions throughout multi-source data environments, enabling organizations to find the common origins of this data, and get a full understanding of the pathways the data has undergone to this point. Metadata Management Automation Increases Accuracy.

Enterprise 52

Enterprise Metadata Online Analytical Processing Business Intelligence 52

CIO Business Intelligence

NOVEMBER 4, 2022

To achieve what the company would need going forward, McCowan knew Regeneron would have to undergo a major transformation and build a more enhanced data pipeline that could inject data from up to 1,000 data sources in “analytical ready formats” for both the business and the scientists to consume, the CIO says.

Data Lake 122

Data Lake IT Experimentation Data-driven 122

Ontotext

SEPTEMBER 9, 2019

Semantic metadata is increasingly the language of the internet and world wide web, under the thin layer of content for human consumption are layers and layers of metadata. By using semantic search, content is marked up with the metadata used by search engines, most notably by Google.

Metadata 99

Metadata Consulting Reporting Technology 99

Ontotext

SEPTEMBER 4, 2019

Semantic metadata is increasingly the language of the internet and world wide web, under the thin layer of content for human consumption are layers and layers of metadata. By using semantic search, content is marked up with the metadata used by search engines, most notably by Google.

Metadata 95

Metadata Consulting Reporting Technology 95

Alation

JANUARY 25, 2022

A data fabric utilizes continuous analytics over existing, discoverable, and inferred metadata assets to support the design, deployment, and utilization of integrated and reusable data across all environments, including hybrid and multi-cloud platforms.” Data Catalog: To access and represent all metadata types.

Metadata 52

Metadata IT Metrics Data-driven 52

Alation

JANUARY 13, 2022

Data fabric has captured most of the limelight; it focuses on the technologies required to support metadata-driven use cases across hybrid and multi-cloud environments. Indeed, a data catalog plays a crucial role in extracting and analyzing metadata from an organization’s data sources to fuel the data fabric. The key is metadata.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

erwin

JUNE 27, 2019

The chosen data modeling tool should be able to read the technical formats of each of these platforms and translate them into highly graphical models rich in metadata. Empowering of end-user BI/analytics by data source discovery, analysis and integration. .

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Ontotext

SEPTEMBER 9, 2019

Semantic metadata is increasingly the language of the internet and world wide web, under the thin layer of content for human consumption are layers and layers of metadata. By using semantic search, content is marked up with the metadata used by search engines, most notably by Google.

Metadata 40

Metadata Consulting Reporting Technology 40

Alation

MAY 10, 2021

The catalog gathers metadata, (or data about data), to add context to every asset. See our white paper, “ The Catalog Is the Platform ,” for insights into how the catalog works. Folks who work with data face these challenges every day. But they don’t have to. A data catalog helps people find, understand, trust, and govern data.

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52