erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. The Role of Metadata in Data Governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

JUNE 20, 2022

This landmark document will look at how we can build on this momentum and apply the lessons challenges ahead of us, including tackling the COVID backlog and making the reforms that are vital to the future of health and care. Data Governance, Government, Government IT, Healthcare Industry EPR and NHS App targets.

Data Strategy 105

Data Strategy Strategy Digital Transformation Data Architecture 105

Alation

MARCH 31, 2023

Actually, with Solomon-like wisdom, Zaidi and Thanaraj suggest a scenario where data fabric and data mesh work together — a Reese’s Peanut Butter Cup of data architecture, representing a “meshy fabric” scenario I presented last year. Data governance. “I He compared governance to the U.S.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. The Role of Metadata in Data Governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Octopai

JULY 9, 2020

By adopting automated data lineage and automated metadata tagging, companies have the opportunity to increase their data processing speed. That increase can manage huge endeavors, such as migrations, error location, and new data governance integrations which then become “routine” operations.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization. Mike is the author of two books and numerous articles.

Technology 78

Technology Data-driven Machine Learning Sales 78

TDAN

AUGUST 18, 2020

Consistent business meaning is important because distinctions between business terms are not typically well defined or documented. The business glossary is simple in concept, but it can be a challenge to structure, define and maintain shared business terminology. What are the standards for writing […].

Management 96

Management Metadata Data Architecture IT 96

Alation

FEBRUARY 20, 2020

to catalog enterprise data by observing analyst behaviors. Our approach was contrasted with the traditional manual wiki of notes and documentation and labeled as a modern data catalog. We envisioned and learnt from the early production customer implementations that cataloging data wasn’t enough.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

CIO Business Intelligence

FEBRUARY 20, 2023

A candidate who earns the certification will have proved their ability to build bundle configurations, pricing, output documents, and renewals and amendments. The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

Ontotext

JANUARY 10, 2024

Overall, RDF graphs are much finer-grained and enable better data governance and flexibility, while LPGs have proven to be more efficient in some graph analytics tasks. As a start, such a platform would need to support two major design patterns: semantic knowledge hub and semantic data fabric.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Sisense

JULY 6, 2020

These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing. Data governance is the foundation of EDM and is directly related to all other subsystems. – How do you plan to use these final data products?

Enterprise 98

Enterprise Management Data Architecture Strategy 98

IBM Big Data Hub

APRIL 11, 2023

The evaluation team should assess and document each system, decision point, and vendor by the population they serve, such as hourly workers, salaried employees, different pay groups, and countries. Policy orchestration within a data fabric architecture is an excellent tool that can simplify the complex AI audit processes.

Strategy 101

Strategy Data Architecture Data-driven Testing 101

AWS Big Data

JANUARY 22, 2024

Discussions with users showed they were happier to have faster access to data in a simpler way, a more structured data organization, and a clear mapping of who the producer is. A lot of progress has been made to advance their data-driven culture (data literacy, data sharing, and collaboration across business units).

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

erwin

OCTOBER 24, 2019

Organizations are dealing with numerous data types and data sources that were never designed to work together and data infrastructures that have been cobbled together over time with disparate technologies, poor documentation and with little thought for downstream integration.

Metadata 104

Metadata Management Data-driven Data Architecture 104

BI-Survey

AUGUST 21, 2020

The data landscape and the data integration tasks to be solved are often too complex. Leaders rely less on data mart deployment than on lean, flexible architectures and usable data based on cloud services, a complementary data lake, data governance, data hubs and data catalogs.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Alation

JULY 7, 2022

As Alation worked to create a new category of enterprise data management tool, the data catalog , Aaron wanted to also use this new technology to advance the cause of academic research. Aaron turned his attention from Alation Open to launch the Alation Data Catalog. He even had a name for it: Alation Open.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Andrew White

JANUARY 9, 2022

Is there a good map that shows the connections between data, advanced analytics, digital, innovation, etc. I would have to admit that there are few documents that talk about all the connections across any set of topics. Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases.

Analytics 64

Analytics Measurement Modeling Data-driven 64

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 109

Data Lake Metadata Optimization Statistics 109

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. But is it really?

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

IBM Big Data Hub

AUGUST 15, 2023

A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it. Therefore, a well-built AI for business program must also have a good data governance framework. Doing so allows your organization the ability to scale with trust and transparency.

IT 84

IT Data Governance Modeling Cost-Benefit 84

CIO Business Intelligence

NOVEMBER 7, 2023

Opting for a centralized data and reporting model rather than training and embedding analysts in individual departments has allowed us to stay nimble and responsive to meet urgent needs, and prevented us from spending valuable resources on low-value data projects which often had little organizational impact,” Higginson says.

Data Warehouse 142

Data Warehouse Digital Transformation Reporting Data-driven 142

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 121

Metadata Cost-Benefit Enterprise Interactive 121

Alation

DECEMBER 22, 2022

The data governance standards are defined centrally , but we’ll decentralize the work to the individual domain teams to execute independently – but with shared governance guidance!” Federated computational governance is a holiday stocking anyone can wear! Fear not,” said the elf optimization team.

Dashboards 52

Dashboards Manufacturing Data Architecture Reporting 52

DataKitchen

JANUARY 23, 2023

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages.

Testing 130

Testing Data Governance Data Quality Data-driven 130

CIO Business Intelligence

MARCH 28, 2022

Rather than spending too much time understanding the current architecture, he recommends, “first understand your desired outcomes.” There is no value, he says, in getting “lost documenting your current dysfunctional architecture forever and ever and ever.”.

Enterprise 105

Enterprise Measurement Reporting Cost-Benefit 105

Alation

OCTOBER 12, 2021

Like many, the team at Cbus wanted to use data to more effectively drive the business. “Finding the right data was a real challenge,” recalls John Gilbert, Data Governance Manager. We might have found some data but what does it mean? The third challenge was around trusting the data.

Strategy 52

Strategy Enterprise Analytics Data Governance 52