erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Constructing A Digital Transformation Strategy: Data Enablement. Probably not.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

erwin

MAY 13, 2020

The role of data modeling (DM) has expanded to support enterprise data management, including data governance and intelligence efforts. Metadata management is the key to managing and governing your data and drawing intelligence from it. Types of Data Models: Conceptual, Logical and Physical.

Data Governance 93

Data Governance Enterprise Modeling Management 93

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

AUGUST 13, 2024

Amazon DataZone has announced a set of new data governance capabilities—domain units and authorization policies—that enable you to create business unit-level or team-level organization and manage policies according to your business needs. Organizations can adopt different approaches when defining and structuring domains and domain units.

Data Governance 119

Data Governance Metadata Enterprise Sales 119

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. A single source of data truth helps companies begin to leverage data as a strategic asset.

Modeling 98

Modeling Metadata Data Governance Visualization 98

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. Constructing a Digital Transformation Strategy: How Data Drives Digital.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. This is challenging because access to data is managed differently by each of the tools.

Metadata 119

Metadata Data Lake Publishing Data Governance 119

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. This is live and dynamic.”.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

erwin

DECEMBER 17, 2020

What is Microsoft’s Common Data Model (CDM), and why is it so powerful? The same is true for data, with a number of vendors creating data models by vertical industry (financial services, healthcare, etc.) and making them commercially available to improve how organizations understand and work with their data assets.

Modeling 90

Modeling Metadata Data-driven Data Lake 90

Ontotext

JANUARY 21, 2021

The Financial Industry Business Ontology (FIBO) is a standard that is being developed and published by the Enterprise Data Management Council that attempts to capture business domain knowledge using sophisticated knowledge representation techniques and linked open data technologies. In this way, FIBO can give meaning to any data (e.g.,

Modeling 72

Modeling Finance Technology Publishing 72

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Complexity. Five Steps to GDPR/CCPA Compliance. Govern PII “at rest”.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

SEPTEMBER 6, 2022

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. He found a rich collection of data assets, including information on over 2.2 Establishing a clear and unified approach to data.

IT 98

IT Forecasting Data Lake Data Warehouse 98

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. They don’t know exactly what data they have or even where some of it is.

Metadata 104

Metadata Management Data-driven Data Architecture 104

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 …. For regulatory compliance (e.g.,

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

Octopai

DECEMBER 12, 2021

A data asset is only an asset if you can use it to help your organization. What enables you to use all those gigabytes and terabytes of data you’ve collected? Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Where does metadata come from?

Metadata 98

Metadata Management Data Quality Data Governance 98

erwin

JUNE 22, 2020

It describes an unfortunate reality for many data stewards, who spend 80 percent of their time finding, cleaning and reorganizing huge amounts of data, and only 20 percent of their time on actual data analysis. Earlier this year, erwin released its 2020 State of Data Governance and Automation (DGA) report.

Metadata 105

Metadata Data Governance Digital Transformation Measurement 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

Peter James Thomas

AUGUST 2, 2019

After a hiatus of a few months, the latest version of the peterjamesthomas.com Data and Analytics Dictionary is now available. Business Glossary (contributor: Tenny Thomas Soman ). Business Glossary (contributor: Tenny Thomas Soman ). Data Architecture – Definition (2). Data Catalogue. Data Community.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. Quite simply, metadata is data about data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Alation

APRIL 26, 2021

This is where a data dictionary and business glossary become useful for getting both your business and IT teams on the same page. What is a data dictionary? As the name suggests, a data dictionary defines and describes technical data terms. Data terms could be database schemas, tables, or columns.

IT 52

IT Machine Learning Metrics Cost-Benefit 52

erwin

JANUARY 23, 2025

Companies are leaning into delivering on data intelligence and governance initiatives in 2025 according to our recent State of Data Intelligence research. Data intelligence software is continuously evolving to enable organizations to efficiently and effectively advance new data initiatives.

Metadata 52

Metadata Data Quality Data Governance Software 52

Octopai

AUGUST 19, 2020

Businesses across the globe have been forced to adapt their business models, technologies, and strategies to address the ongoing challenges of the COVID-19 pandemic. Under the new normal of remote work, companies face the challenge of connecting all people, processes, and data from a cloud-based system.

Metadata 98

Metadata Digital Transformation Management Business Intelligence 98

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

erwin

MARCH 12, 2020

The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management. They’re looking for product management, dev/ops, security modeling, personas and portfolio management all to be part of an integrated EA platform.

Enterprise 85

Enterprise Reporting Management ROI 85

Alation

NOVEMBER 4, 2021

This week I was talking to a data practitioner at a global systems integrator. The practitioner asked me to add something to a presentation for his organization: the value of data governance for things other than data compliance and data security. Now to be honest, I immediately jumped onto data quality.

Data Governance 94

Data Governance Metadata Data Quality Enterprise 94

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. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

AUGUST 1, 2023

Intro erwin ® Data Modeler 12.5 It requires many functional elements of an organization to come together in order to reach the ultimate stages of being able to identify, understand and fully leverage the power of its data. erwin Data Modeler 12.5 erwin Data Modeler 12.5 bring to you?

Modeling 52

Modeling Metadata Data Quality Data Governance 52

AWS Big Data

AUGUST 5, 2024

We are excited to announce a new feature in Amazon DataZone that allows data producers to group data assets into well-defined, self-contained packages (data products) tailored for specific business use cases. This reduces the time and effort required to find all relevant information and lowers the risk of missing important data.

Metadata 59

Metadata Sales Data Lake Publishing 59

erwin

AUGUST 7, 2019

A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

Andrew White

JULY 5, 2023

I blogged recently about the high level of hype and confusion across Data and Analytics just a few months ago. Here is the original blog from March 2023: Summing Up Three Days at Gartner’s Data and Analytics Conference in Orlando, Florida, USA. The fact that there are different names is one thing. Too often they are conflated.

Metrics 52

Metrics Metadata Modeling Data Quality 52

Cloudera

OCTOBER 26, 2020

Since the inception of Cloudera Data Platform (CDP), Dell / EMC PowerScale and ECS have been highly requested solutions to be certified by Cloudera. Lineage and chain of custody, advanced data discovery and business glossary. Relevance-based text search over unstructured data (text, pdf,jpg, …). Encryption.

Testing 87

Testing Unstructured Data Cost-Benefit Big Data 87

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. Instead, data quality rules promote awareness and trust.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Lineage and chain of custody, advanced data discovery and business glossary.

Testing 132

Testing Metadata Risk Data Science 132

erwin

APRIL 4, 2019

A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. But despite this fact, enterprises often face push back when implementing a new data governance initiative or trying to mature an existing one.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

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. Sources, like IoT.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

erwin

JUNE 8, 2020

Our customers are in search of creative and sustainable ways to increase their speed to insights for digital transformation, infrastructure modernization and cloud migration and many of them are looking to implement the Snowflake Cloud Data Platform. Sounds like a match made in heaven? Well, we think so. Drop me a line.

Management 52

Management Metadata Data Lake Digital Transformation 52

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? Common data governance challenges.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96