erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. Most have only data governance operations.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

CIO Business Intelligence

DECEMBER 11, 2024

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. Implementing ML capabilities can help find the right thresholds. However, this landscape is rapidly evolving.

Management 111

Management Data Governance Data Science Reporting 111

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. Step 2: Data Definitions.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

DataKitchen

APRIL 13, 2021

It is easy to get overwhelmed when trying to evaluate different solutions and determine whether they will help you achieve your DataOps goals. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Data breaks.

Testing 304

Testing Machine Learning Consulting Data Science 304

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. Initially, the data inventories of different services were siloed within isolated environments, making data discovery and sharing across services manual and time-consuming for all teams involved.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

CIO Business Intelligence

DECEMBER 10, 2024

Align data strategies to unlock gen AI value for marketing initiatives Using AI to improve sales metrics is a good starting point for ensuring productivity improvements have near-term financial impact. When considering the breadth of martech available today, data is key to modern marketing, says Michelle Suzuki, CMO of Glassbox.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

AWS Big Data

JANUARY 15, 2025

Data landscape in EUROGATE and current challenges faced in data governance The EUROGATE Group is a conglomerate of container terminals and service providers, providing container handling, intermodal transports, maintenance and repair, and seaworthy packaging services. Eliminate centralized bottlenecks and complex data pipelines.

IoT 111

IoT Machine Learning Metadata Data-driven 111

CIO Business Intelligence

MARCH 25, 2025

Data debt that undermines decision-making In Digital Trailblazer , I share a story of a private company that reported a profitable year to the board, only to return after the holiday to find that data quality issues and calculation mistakes turned it into an unprofitable one.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

AWS Big Data

AUGUST 15, 2024

Data quality is crucial in data pipelines because it directly impacts the validity of the business insights derived from the data. Today, many organizations use AWS Glue Data Quality to define and enforce data quality rules on their data at rest and in transit.

Data Quality 111

Data Quality Visualization Metadata Key Performance Indicator 111

erwin

OCTOBER 29, 2020

Automating data governance is key to addressing the exponentially growing volume and variety of data. Data readiness is everything. Data readiness depends on automation to create the data pipeline. We asked participants to “talk to us about data value chain bottlenecks.”

Data Governance 105

Data Governance Metadata Digital Transformation ROI 105

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

CIO Business Intelligence

FEBRUARY 6, 2025

Existing tools and methods often provide adequate solutions for many common analytics needs Heres the rub: LLMs are resource hogs. Sustainable IT is about optimizing resource use, minimizing waste and choosing the right-sized solution. When youre dealing with truly complex, unstructured data like text, voice and images.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

AWS Big Data

DECEMBER 4, 2024

Domain ownership recognizes that the teams generating the data have the deepest understanding of it and are therefore best suited to manage, govern, and share it effectively. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Octopai

JUNE 26, 2020

In order to figure out why the numbers in the two reports didn’t match, Steve needed to understand everything about the data that made up those reports – when the report was created, who created it, any changes made to it, which system it was created in, etc. Enterprise data governance. Metadata in data governance.

Metadata 98

Metadata Data Governance Enterprise Reporting 98

Cloudera

NOVEMBER 13, 2024

Founded in 2016, Octopai offers automated solutions for data lineage, data discovery, data catalog, mapping, and impact analysis across complex data environments. This guarantees data quality and automates the laborious, manual processes required to maintain data reliability.

Metadata 90

Metadata Management Data Governance Data-driven 90

erwin

MAY 17, 2021

erwin by Quest just released the “2021 State of Data Governance and Empowerment” report. This past year also saw a major shift as the silos between data governance, data operations and data protection diminished, with enterprises seeking to understand their data and the systems they use and secure to empower smarter decision-making.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

Alation

APRIL 13, 2021

He works with Snowflake partners to craft joint solutions. Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. Technology is an enabler for data culture.

Insurance 98

Insurance Data Governance Data-driven Data Quality 98

Alation

JUNE 17, 2021

Leading companies like Cisco, Nielsen, and Finnair turn to Alation + Snowflake for data governance and analytics. By joining forces, we can build more potent, tailored solutions that leverage data governance as a competitive asset. TXM has capitalized on our shared solution — and reaped the benefits.

Data Governance 98

Data Governance Data Lake Insurance Enterprise 98

IBM Big Data Hub

JANUARY 23, 2023

If you’re in charge of managing data at your organization, you know how important it is to have a system in place for ensuring that your data is accurate, up-to-date, and secure. That’s where data governance comes in. What exactly is data governance and why is it so important?

Data Governance 69

Data Governance Data Quality Management IT 69

CIO Business Intelligence

JANUARY 7, 2025

In: Doubling down on data and AI governance Getting business leaders to understand, invest in, and collaborate on data governance has historically been challenging for CIOs and chief data officers.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

BI-Survey

FEBRUARY 17, 2020

However, effectively using data needs to be learned. Companies using multiple systems for various purposes tend to have complex technology landscapes with highly specialized silo solutions. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

AWS Big Data

NOVEMBER 22, 2024

This setup supports agile data processing while taking advantage of the serverless architecture of Athena to keep operational costs low. Compliance and data governance – For organizations managing sensitive or regulated data, you can use Athena and the adapter to enforce data governance rules.

Data Lake 103

Data Lake Data Warehouse Cost-Benefit Data Transformation 103

Rocket-Powered Data Science

MARCH 20, 2023

Datasphere is an enhanced data warehousing service that includes business semantics (through both analytic and relational models) and a knowledge graph (linking business content with business context). Source: [link] SAP also announced key partners that further enhance Datasphere as a powerful business data fabric.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. Yet tech is catching up. Top Challenges.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 56

Data Quality Metadata Data Governance Data-driven 56

David Menninger's Analyst Perspectives

OCTOBER 8, 2024

Collibra was founded in 2008 by Chief Executive Officer Felix Van de Maele and Chief Data Citizen Stijn Christiaens. Only 15% of participants in our ISG Analytics and Data Benchmark Research are very comfortable allowing business users to work with data that has not been integrated or prepared by IT.

Data Quality 130

Data Quality Data Governance Enterprise Visualization 130

Cloudera

OCTOBER 1, 2022

According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. . As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. – From a recent episode of the TWIML AI Podcast.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

erwin

MARCH 8, 2019

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in ….

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

CIO Business Intelligence

MAY 3, 2022

As the 125-year-old company evolves to meet changing market needs, and as enabling technologies like AI and machine learning are added to the mix, this integrated and collaborative approach has changed how IT makes decisions about which digital solutions are right for Dow and the markets they serve, explains Chris Bruman, Dow’s Chief Data Officer.

Data Quality 96

Data Quality Machine Learning Business Objectives Business Intelligence 96

erwin

OCTOBER 24, 2019

In fact, data professionals spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analysis , according to IDC. To flip this 80/20 rule, they need an automated metadata management solution for: • Discovering data – Identify and interrogate metadata from various data management silos.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Alation

MARCH 5, 2021

Data governance defines how data should be gathered and used within an organization. It address core questions, such as: How does the business define data? How accurate must the data be for use? Organizations have much to gain from learning about and implementing a data governance framework.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

CIO Business Intelligence

FEBRUARY 26, 2025

Even worse is that the reason for using AI-powered agents instead of traditional software is the agents can learn, adapt, and come up with new solutions to new problems. That has a pretty broad actionable area, he says. You cant predetermine the kinds of connections youll need to have for that agent, Pandey says.

IT 141

IT Enterprise Interactive Data Quality 141

IBM Big Data Hub

MAY 9, 2024

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

Data Governance 66

Data Governance Data Quality Insurance Predictive Analytics 66