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

Alation

FEBRUARY 3, 2022

DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. So how does data governance relate to DataOps? Data governance is a key data management process. Continuous Improvement Applied to Data Governance.

Data Governance 98

Data Governance Measurement Metadata Testing 98

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 86

Data Governance Business Objectives Strategy Data Quality 86

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

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. Passing the Data Governance Ball.

Data Governance 108

Data Governance Cost-Benefit Enterprise Modeling 108

Alation

FEBRUARY 14, 2023

And a data breach poses more than just a PR risk — by violating regulations like GDPR , a data leak can impact your bottom line, too. This is where successful data governance programs can act as a savior to many organizations. This begs the question: What makes data governance successful? Where do you start?

Data Governance 52

Data Governance ROI Metrics Cost-Benefit 52

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). How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

erwin

NOVEMBER 6, 2019

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. The Role of Data Automation. We wonder why. Too Much Time, Too Few Insights.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

erwin

OCTOBER 31, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Now, as Cybersecurity Awareness Month comes to a close – and ghosts and goblins roam the streets – we thought it a good time to resurrect some guidance on how data governance can make data security less scary.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

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

Alation

FEBRUARY 10, 2021

The way enterprises implement data governance is changing. In the past, data governance either emphasized exercising tight control over data or fitting people into rigid roles and processes. With both approaches, data governance is a hurdle to productive data & analytics rather than an enabler.

Data Governance 52

Data Governance Data-driven Enterprise Risk 52

erwin

FEBRUARY 12, 2021

Managing an organization’s governance, risk and compliance (GRC) via its enterprise and business architectures means managing them against business processes (BP). Shockingly, a lot of organizations, even today, manage this through, either homemade tools or documents, checklists, Excel files, custom-made databases and so on and so forth.

Risk 98

Risk Slice and Dice Management Enterprise 98

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

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

erwin

SEPTEMBER 12, 2019

Strong internal business process modeling and management helps data-driven organizations compete and lead. In short, an internal business process is a documented account of how things should be done to maximize efficiency and achieve a particular goal. The Value of Internal Business Process Modeling. Carpe Process.

Modeling 101

Modeling Cost-Benefit Data-driven Data Governance 101

O'Reilly on Data

MAY 9, 2023

Using AI means auditing the outputs of AI systems to ensure that they’re fair; it means documenting the behaviors of AI models and training data sets so that users know how the data was collected and what biases are inherent in that data. We will have to go much farther to accurately document a model’s behavior.

Modeling 214

Modeling Reporting Data Governance Software 214

erwin

JULY 11, 2019

At a fundamental level, digital transformation is about further synthesizing an organization’s operations and technology, so involving business architecture and process modeling is a best practice organizations cannot ignore. Business Process Modeling: The First Step to Giving Customers What They Expect. Data usage.

Digital Transformation 106

Digital Transformation Modeling Data Governance Visualization 106

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Alation

JUNE 2, 2022

In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. Data management is not yet a solved problem, but modern data management is leagues ahead of prior approaches.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

erwin

MARCH 1, 2022

erwin ® Data Modeler is an enterprise data modeling tool, trusted for 30 years. You’ll see how erwin Data Modeler R12 makes it easy to: Find, visualize, design, deploy and standardize high-quality enterprise data assets. Webcast title: What’s New in erwin Data Modeler R12. Time: 11 a.m.

Modeling 52

Modeling Data Governance Visualization Enterprise 52

CIO Business Intelligence

APRIL 1, 2024

Capturing the “as-is” state of your environment, you’ll develop topology diagrams and document information on your technical systems. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key. Right-size your model(s). Assess your readiness. Choose a workload location.

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Extending Atlas’ metadata model. Sketch of the end-to-end data pipeline. Apache Atlas as a fundamental part of SDX.

Data Governance 93

Data Governance Metadata Enterprise Data Processing 93

erwin

MAY 14, 2021

Accelerating the retrieval and analysis of data —so much of it unstructured—is vital to becoming a data-driven business that can effectively respond in real time to customers, partners, suppliers and other parties, and profit from these efforts. The Newest Release of erwin Data Modeler.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

CIO Business Intelligence

DECEMBER 19, 2023

Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model. These workstreams require documenting a vision, assigning leaders, and empowering teams to experiment.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

NOVEMBER 21, 2023

Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

DECEMBER 7, 2023

Contract Analysis/Drafting: Generative AI solutions in finance, insurance, and legal sectors that extract key information from contracts and legal documents, address inconsistencies, identify risks, and even draft legal text. Likewise, they realize that human talent will be central to success.

Insurance 89

Insurance Experimentation Finance Data Governance 89

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

MAY 10, 2023

As companies open this “pandora’s box” of new capabilities, they must be prepared to manage data inputs and outputs in secure ways or risk allowing their private data to be consumed in public AI models. company financial information and other data sets that are either internal and/or confidential).

Metadata 98

Metadata Data Governance Modeling Technology 98

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

NOVEMBER 19, 2020

This recognition affirms our efforts in developing an integrated platform for enterprise modeling and data intelligence to support data governance, digital transformation and any other effort that relies on data for favorable outcomes. We’re super proud of this achievement and the value erwin DI provides.

Metadata 98

Metadata Management Digital Transformation Data Governance 98

erwin

OCTOBER 17, 2019

At erwin, we’re definitely witnessing this EA evolution as more and more as organizations undertake digital transformation initiatives, including rearchitecting their business models and value streams, as well as responding to increasing regulatory pressures. The Regulatory Rationale for Integrating Data Management & Data Governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

CIO Business Intelligence

DECEMBER 11, 2023

Any and all activities that focus on improving patient data, processes and communications are prime for improvement. With generative AI-based analytics and large language models, healthcare professionals will have a greater capacity to make tailored recommendations for preventative screenings and services.

Unstructured Data 75

Unstructured Data Interactive Data-driven Consulting 75

erwin

MAY 1, 2023

The World Wide Data Vault Consortium ( WWDVC 2023 ) started today and erwin ® by Quest ® , one of the few active participants working toward a Data Vault 2.0 certification with the DataVaultAlliance , is announcing major advancements in our erwin Data Vault Automation solution.

Cost-Benefit 52

Cost-Benefit Data Governance Metadata Data-driven 52

CIO Business Intelligence

DECEMBER 11, 2023

For many CIOs, implementations may be nascent, but mitigating biases in AI models and balancing innovation with ethical considerations are already among their biggest challenges. Companies must fortify against attacks that could mislead AI models and result in ill-informed decisions.

Modeling 131

Modeling Risk Strategy Software 131

Ontotext

FEBRUARY 12, 2024

Determine ownership by making sure all teams involved in the data mesh own the quality of their domain data, ensure service-level agreements are met, and share that data with data contracts. Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69