erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Finding metadata, “the data about the data,” isn’t easy. Why such a heavy lift?

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

erwin

APRIL 2, 2021

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

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 98

Digital Transformation Data-driven Cost-Benefit Strategy 98

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. The risks of ignoring end-to-end data lineage are just too great.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

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 144

Software Management Digital Transformation Technology 144

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

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

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

CIO Business Intelligence

JUNE 20, 2022

Earlier this year, I set out a range of stretching targets for digital transformation in health and care, and we’re making great progress. Industry reaction to the new NHS data strategy. Private and public sector industry observers reacted positively to the new NHS data strategy. EPR and NHS App targets.

Data Strategy 105

Data Strategy Strategy Digital Transformation Data Architecture 105

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

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 137

IT Risk Cost-Benefit Risk Management 137

erwin

AUGUST 20, 2020

As a practice, EA involves the documentation, analysis, design and implementation of an organization’s assets and structure. With an enterprise architecture management suite (EAMS) , an organization can define and document its structure to more effectively determine how to achieve its goals. Data Governance.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

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

Cloudera

JUNE 22, 2023

In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. The top-line benefits of a hybrid data platform include: Cost efficiency. Flexibility.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

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 132

Data Architecture Data Warehouse Statistics Visualization 132

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

erwin

NOVEMBER 28, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

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. Data as an Insight: Operational Transformation. Under GDPR Article 30, the Record of Processing Activity (ROPA) document needs to be created and maintained.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

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

erwin

APRIL 16, 2020

The solutions work in tandem to automate the processes involved in harvesting, integrating, activating and governing enterprise data according to business requirements. This automation results in greater accuracy, faster analysis and better decision-making for data governance and digital transformation initiatives.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

CIO Business Intelligence

FEBRUARY 7, 2024

Digital transformation and growing reliance on third-party services are key contributors as well, she adds. In addition to establishing API design standards, Sabhlok emphasizes that quality API governance should consider visibility into APIs.

Business Objectives 124

Business Objectives Cost-Benefit Strategy Data-driven 124

CIO Business Intelligence

DECEMBER 11, 2023

Treading slowly so AI doesn’t ‘run amok’ The Laborer’s International Union of North America (LIUNA), which represents more than 500,000 construction workers, public employees, and mail handlers, has dipped its toes into using AI, mainly for document accuracy and clarification, and for writing contracts, says CIO Matt Richard.

Modeling 131

Modeling Risk Strategy Software 131

Alation

APRIL 18, 2023

Top use cases for data profiling Data governance Data governance describes how data should be gathered and used within an organization, impacting data quality, data security, data privacy , and compliance. Data migration Digital transformation is ongoing.

IT 52

IT Data Quality Metadata Data Governance 52

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). Click here for your free trial of erwin Data Modeler.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

erwin

NOVEMBER 21, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

Alation

JULY 19, 2021

This requires a metadata management solution to enable data search & discovery and data governance, both of which empower access to both the metadata and the underlying data to those who need it. In today’s world, metadata management best practices call for a data catalog. Administrative information.

Metadata 105

Metadata Management Data Governance Machine Learning 105

erwin

NOVEMBER 21, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 72

Enterprise Data-driven Data Governance Digital Transformation 72

Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. What is Cloud Transformation? Leverage a Data Governance Solution.

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

erwin

OCTOBER 29, 2020

Automating data governance is key to addressing the exponentially growing volume and variety of data. Data readiness is everything. The State of Data Automation. Earlier this year, erwin conducted a research project in partnership with Dataversity, the 2020 State of Data Governance and Automation.

Data Governance 105

Data Governance Metadata Digital Transformation ROI 105

erwin

AUGUST 28, 2020

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Is Data Governance?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

Alation

OCTOBER 26, 2021

Finance teams soon realize other key benefits of the Alation Data Catalog. They enjoy improved governance, which follows from documenting ownership of business terms and formulas. And, by implementing continuous data reviews, finance teams better support compliance and risk management.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Sisense

SEPTEMBER 12, 2019

Options include emails, meetings, PR, training, enablement, maybe even old-fashioned documentation. . For instance, for a centralized approach (where the user has no room for adjustments) you will need to put more effort into training and documentation. As your BI strategy materializes, you will be thankful that you did. . #4

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Cloudera

FEBRUARY 11, 2019

Ask a CIO where their focus lies and ‘digital transformation’ as well as ‘growth’ will come into the conversation quite quickly. In the next sections, we’ll reveal what else is needed as well as how to right-size governance of more than just data helps organizations achieve their objectives.

Digital Transformation 56

Digital Transformation Data Governance Data Warehouse Data-driven 56

Alation

FEBRUARY 13, 2020

A robust data catalog provides many other capabilities including support for data curation and collaborative data management, data usage tracking, intelligent dataset recommendations, and a variety of data governance features. Benefits of a Data Catalog. Improved data efficiency.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

erwin

FEBRUARY 19, 2021

When key data isn’t discovered, harvested, cataloged, defined and standardized as part of integration processes, audits may be flawed. Sensitive data is automatically tagged, its lineage automatically documented, and its flows depicted so that it is easily found and its use across workflows easily traced. Digital transformation.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. With data lineage, every object in the migrated system is mapped and dependencies are documented.

Cost-Benefit 104

Cost-Benefit Metadata Data Governance Reporting 104

Alation

FEBRUARY 13, 2020

This ultimately allows stewardship initiatives to scale beyond what human effort alone can cope with, given that the volume of data only increases. Amongst study respondents, the most critical feature was the ability to define levels of access to shared documents and data.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52