erwin

SEPTEMBER 19, 2019

Data governance isn’t a one-off project with a defined endpoint. Data governance, today, comes back to the ability to understand critical enterprise data within a business context, track its physical existence and lineage, and maximize its value while ensuring quality and security. Slow Down, Ask Questions.

Data Governance 108

Data Governance Cost-Benefit Enterprise Modeling 108

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Alation

JULY 15, 2022

And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens. Organisations who do assess can gain additional benefits from the work that’s already done. Data Value. The business opportunity: Data governance exposes inefficiency.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

CIO Business Intelligence

DECEMBER 19, 2023

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control.

Digital Transformation 138

Digital Transformation Unstructured Data Machine Learning Risk Management 138

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

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

Ontotext

MARCH 18, 2020

To access this knowledge, enterprises need tools to help them integrate the data scattered across the organization. The third challenge is how to combine data management with analytics. In today’s business climate, data quality and governance are no longer enough. Ontotext Knowledge Graph Platform.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

O'Reilly on Data

JULY 28, 2020

The Advertising team was more interested in cost per lead (CPL) and lifetime value (LTV), while the Strategy team was aligned to corporate metrics (revenue impact and total active users). Again, it’s important to listen to data scientists, data engineers, software developers, and design team members when deciding on the MVP.

Marketing 363

Marketing Experimentation Metrics Testing 363

CIO Business Intelligence

FEBRUARY 20, 2023

Benefits of Salesforce certifications Salesforce jobs range from the technical (architects, developers, implementation experts) to those related to marketing and sales. According to a study by Indeed.com , 70% of Salesforce developers in the US are satisfied with their salaries given the cost of living in their area.

Consulting 59

Consulting B2B Cost-Benefit Sales 59

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Domino Data Lab

OCTOBER 1, 2020

Traditionally, this problem has been solved by either denying access to this data altogether (a not infrequent outcome), or creating and maintaining multiple copies of many datasets for each possible use case by omitting the data that a particular user is not allowed to see (e.g. PII, PHI, etc).

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

CIO Business Intelligence

JUNE 12, 2024

Most enterprise data is unstructured and semi-structured documents and code, as well as images and video. For example, gen AI can be used to extract metadata from documents, create indexes of information and knowledge graphs, and to query, summarize, and analyze this data. Plus, it costs more money.

Modeling 132

Modeling Testing Cost-Benefit IT 132

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage).

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144

IBM Big Data Hub

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Grooper

AUGUST 19, 2019

C-level executives and professionals alike must learn to speak a new language - data. The benefit of speaking data, a.k.a. The reason data literacy plays such an important role in choosing the right technology solutions is that it directly impacts the quality of the requirements list. Master data management.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

BI-Survey

FEBRUARY 23, 2023

Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it. Ultimately, it is the people in the company who have to change their behavior and mindset in order to benefit from the ever-increasing amount of data available to them.

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

Andrew White

JANUARY 9, 2022

Yet there is no inclusion in the conversation about the costs and issues related to the battery and materials used in the most expensive part of the EV. Is there a good map that shows the connections between data, advanced analytics, digital, innovation, etc. – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Modeling Data-driven 64

datapine

FEBRUARY 22, 2022

2) BI Strategy Benefits. Over the past 5 years, big data and BI became more than just data science buzzwords. In response to this increasing need for data analytics, business intelligence software has flooded the market. The costs of not implementing it are more damaging, especially in the long term.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

erwin

JULY 17, 2019

It gives them the ability to identify what challenges and opportunities exist, and provides a low-cost, low-risk environment to model new options and collaborate with key stakeholders to figure out what needs to change, what shouldn’t change, and what’s the most important changes are. With automation, data quality is systemically assured.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 78

Management Risk Measurement Optimization 78

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

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52