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

erwin

OCTOBER 8, 2020

That means your cloud data assets must be available for use by the right people for the right purposes to maximize their security, quality and value. Why You Need Cloud Data Governance. Regulatory compliance is also a major driver of data governance (e.g., More and more companies are looking at cloud migration.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

MARCH 6, 2024

What has IT’s role been in the transformation to a SaaS model? We built that end-to-end data model and process from scratch while we ran the old business. We knew we had a unique opportunity to build a new end-to-end architecture with a common AI-powered data model. Today, we’re a $1.6 Today, we’re a $1.6

Modeling 108

Modeling Management IT Metrics 108

CIO Business Intelligence

APRIL 29, 2022

Forward-thinking transformation leaders have realised that more focus needs to be placed on ‘data-centric value creation’ and have made this the pre-eminent organising principle in their organisations. Many organisations focus too heavily on fine tuning their computational models in their pursuit of ‘quick-wins.’ About Andrew P.

Data Governance 144

Data Governance IT Risk Data Lake 144

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

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results. 5 common data governance mistakes 1. between 2022 and 2029.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

erwin

DECEMBER 19, 2019

To help you prepare for 2020, we’ve compiled some of the most popular data governance and metadata management blog posts from the erwin Experts from this year. The Best Data Governance and Metadata Management Blog Posts of 2019. Data Governance Framework: Three Steps to Successful and Sustainable Implementation.

Metadata 75

Metadata Data Governance Management Digital Transformation 75

Data Virtualization

DECEMBER 3, 2020

Digital transformation is top-of-mind for executives in all of the major companies. By engaging in digital transformation, organizations can easily leverage digital technologies such as artificial intelligence, interactive applications, and bots, to strengthen their fundamental business models while streamlining interactions.

Digital Transformation 52

Digital Transformation Interactive Modeling Technology 52

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results. 5 common data governance mistakes 1. between 2022 and 2029.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

CIO Business Intelligence

NOVEMBER 16, 2022

The company employs 69,000 around the world as well and Danielle Brown, the company’s SVP and CIO, has a unique perspective on how best to lead the company’s digital transformation strategy. The right governance around that product data has to be in place too so it can be used throughout the full product lifecycle.

IT 133

IT Modeling Digital Transformation Data Governance 133

erwin

MAY 14, 2021

Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation). The Newest Release of erwin Data Modeler.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

CIO Business Intelligence

MAY 16, 2024

Digital transformation is a gradual journey, and for many CIOs, becoming more data-driven hinges on how sustainability practices are systematically adopted. Planning for the future Data is the foundation of every business practice, and sustainability helps to anchor it.

Digital Transformation 90

Digital Transformation Data-driven Cost-Benefit Management 90

CIO Business Intelligence

AUGUST 22, 2023

If digital transformation is a journey, when does it end? This is a question I am asked often by IT leaders who prefer slowing down the pace of transformation and technology innovation. Another study of 4,000 global organizations found that only 44% had a high digital maturity.

Digital Transformation 96

Digital Transformation Data-driven Cost-Benefit Strategy 96

Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models? Why do we need data maturity models?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

CIO Business Intelligence

JANUARY 22, 2024

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations.

Unstructured Data 86

Unstructured Data Digital Transformation Data Strategy Modeling 86

CIO Business Intelligence

NOVEMBER 17, 2022

By Milan Shetti, CEO Rocket Software In today’s fast-paced digital business world, organizations have become highly adaptive and agile to keep up with the ever-evolving demands of consumers and the market. Statista estimates that global investment in digital transformation is expected to increase significantly between 2022 and 2025, from $1.8

Software 136

Software Management Digital Transformation Data Governance 136

Cloudera

OCTOBER 19, 2022

However, while the promise of the cloud remains essential — not just for data workloads but also for network virtualisation and B2B offerings — the sheer volume and scale of data in the industry require careful management of the “journey to the cloud.”. 2- AI capability drives data monetization.

Optimization 79

Optimization Data Architecture Data Governance Digital Transformation 79

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. Data security/risk management. Data governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

DECEMBER 3, 2020

The answer is radical transformation, made possible by an intelligent, data-driven approach to: New business models. One Customer’s Journey to Controlling Data Chaos. Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

CIO Business Intelligence

MAY 7, 2024

One possible definition of the CDO is the organization’s leader responsible for data governance and use, including data analysis , mining , and processing. Part of the challenge is to capture the right amount of data needed to train large language models for specialized tasks at each organization, she says.

Data Strategy 123

Data Strategy Data-driven Data Quality Strategy 123

CIO Business Intelligence

NOVEMBER 15, 2022

Mainframes are still the backbone of many organizations Mainframes have been the backbone of IT infrastructure for mission-critical companies for decades because of their resilience, security, and data governance. Digital Transformation

Management 103

Management Data Governance Digital Transformation Risk 103

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

erwin

NOVEMBER 13, 2020

Digital Transformation. Data Security & Risk Management. Data Center Consolidation. Data Governance (knowing what data you have and where it is). Digital Transformation. The key driver of modern EA is the demand for digital transformation. Compliance/Legislation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

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

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.

Metadata 98

Metadata Management Digital Transformation Data Governance 98

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Digital Transformation is not without Risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

CIO Business Intelligence

FEBRUARY 16, 2023

Hence the drive to provide ML as a service to the Data & Tech team’s internal customers. All they would have to do is just build their model and run with it,” he says. That step, primarily undertaken by developers and data architects, established data governance and data integration. The offensive side?

Unstructured Data 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

FineReport

APRIL 9, 2024

These innovative solutions pave the way for future trends in healthcare, shaping the industry’s digital transformation journey. Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

MARCH 7, 2023

The message to CIOs is to do more with less, and the implication is that CIOs must look at digital transformation initiatives differently than in years past. Force-multiplying digital transformation initiatives aim to accomplish multiple strategic objectives through a single vision and investment.

Digital Transformation 144

Digital Transformation Data Governance Experimentation Machine Learning 144

erwin

JUNE 22, 2020

Earlier this year, erwin released its 2020 State of Data Governance and Automation (DGA) report. About 70 percent of the DGA report respondents – a combination of roles from data architects to executive managers – say they spend an average of 10 or more hours per week on data-related activities.

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

erwin

OCTOBER 16, 2020

Now to survive and thrive in the face of radical disruption requires radical transformation and new business models. The global pandemic in 2020 has accelerated digital transformation and amplified the value of data in what will become the next normal as the global economy struggles through recovery.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

erwin

APRIL 25, 2019

Data governance is one area where business and IT never seemed to establish ownership. Early attempts at data governance treated the idea as a game of volleyball, passing ownership back and forth, with one team responsible for storing data and running applications, and one responsible for using the data for business outcomes.

Enterprise 94

Enterprise Digital Transformation Data Governance Business Intelligence 94

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). Best Data Governance Solution (erwin Data Intelligence). Best Data Governance Solution (erwin Data Intelligence).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

CIO Business Intelligence

JUNE 22, 2022

To this end, 170 countries have already laid out detailed national digital strategies to drive economic digital transformation. And some industries — notably, the transport, finance, and education sectors — have expedited digital transformation based on ICT networks and the cloud. To learn more, click here.

Digital Transformation 85

Digital Transformation Technology Data-driven Finance 85

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 52

Metadata Data Governance Digital Transformation Data Quality 52

Laminar Security

DECEMBER 13, 2023

Generally, AI algorithms can sift through vast amounts of data at an astonishing speed, identifying patterns and correlations that would be impossible for humans to detect as rapidly and flawlessly. In the context of data discovery, ML algorithms can learn from past data exploration experiences to enhance future ones.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

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. There may be times when department-specific data needs and tools are required.

IT 132

IT Risk Cost-Benefit Risk Management 132