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. Dataconomy.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

CIO Business Intelligence

JANUARY 15, 2024

Her team spent about a year trying to understand the information landscape, the data, and the metadata schemas. Cleared for launch Bugbee is no stranger to data management and data stewardship. She cut her teeth in the field working to improve metadata quality in Data.gov and on President Obama’s Climate Data Initiative.

Informatics 131

Informatics Metadata Data mining Digital Transformation 131

Ontotext

MAY 22, 2023

Doug Kimball : Using our knowledge graph, you can develop more complex analytics, such as data mining, Natural Language Processing (NLP) and Machine Learning (ML). With traditional data management systems, that can be difficult or in some cases can lead to more work than results. deduplication of people and addresses).

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

DataKitchen

OCTOBER 11, 2021

Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. While implementing a DataOps solution, we make sure that the pipeline has enough automated tests to ensure data quality and reduce the fear of failure. Monitoring Job Metadata.

Testing 152

Testing Metadata Dashboards Statistics 152

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. It’s a good idea to record metadata. Standardizing metadata helps ensure that information assets continue to meet the desired needs for the long term.

Metadata 98

Metadata Visualization Unstructured Data Data mining 98