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. Data Lineage Tells an Important Origin Story.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

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

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 129

IT Risk Cost-Benefit Risk Management 129

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. Reduced risks and costs.

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. Innovation Management.

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

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. Is it sensitive or are there any risks associated with it?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

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

Alation

JULY 15, 2022

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

CIO Business Intelligence

DECEMBER 11, 2023

Research is under way to correct biases, using synthetic data to address attributes such as gender, race, and ethnicity, he says, “but there will always be a need for a human-centric lens to be applied.” This team establishes the company’s risk tolerance, acceptable use cases and restrictions, and applicable disclosures.

Modeling 127

Modeling Risk Strategy Software 127

CIO Business Intelligence

FEBRUARY 7, 2024

Digital transformation and growing reliance on third-party services are key contributors as well, she adds. With more APIs, additional effort is required to maintain design consistency and reduce scalability and end-user experience concerns — not to mention the added security risks stemming from a widened surface area. “It

Business Objectives 121

Business Objectives Cost-Benefit Strategy Data-driven 121

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. Is it sensitive or are there any risks associated with it?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

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

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

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

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 Metadata Data Quality Data Governance 52

Alation

OCTOBER 26, 2021

Although operations and sales departments tend to champion the use of data for business insight 3 , we’ve found that finance departments are often the first adopters of the Alation Data Catalog within an organization. This is because accurate data is “table stakes” for finance teams. What is most critical to the business?

Finance 52

Finance Data Transformation Enterprise Metrics 52

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

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

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

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 100

Cost-Benefit Metadata Data Governance Reporting 100

erwin

FEBRUARY 19, 2021

Is it sensitive or are there any risks associated with it? Metadata also helps your organization to: Discover data. Identify and interrogate metadata from various data management silos. Harvest data. Automate the collection of metadata from various data management silos and consolidate it into a single source.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Cloudera

NOVEMBER 18, 2021

The variety of formats, unstructured nature, and dispersed location of these documents present several challenges for critical business decisions. To enable faster and easier access to millions of documents, ExxonMobil combined domain specific knowledge and a combination of Cloudera tools with cloud services. Industry Transformation.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

Alation

MARCH 28, 2023

The acronym and principles were defined in a 2016 paper in the journal Scientific Data by a consortium of leading scientists and organisations and are widely viewed today as the benchmark for effective data governance. Organisations have clear responsibilities around gathering, storing, and using data, especially personal data.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Applied analytics Business analytics Machine learning and data science.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

AUGUST 1, 2023

Digital transformation must be a core organizational competency. The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. That’s my key advice to CIOs and IT leaders.

Digital Transformation 97

Digital Transformation Unstructured Data Strategy Experimentation 97

erwin

DECEMBER 13, 2018

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. So what’s on the horizon for data governance in the year ahead?

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

IBM Big Data Hub

AUGUST 15, 2023

A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it. Therefore, a well-built AI for business program must also have a good data governance framework. Doing so allows your organization the ability to scale with trust and transparency.

IT 81

IT Data Governance Modeling Cost-Benefit 81

erwin

MARCH 28, 2019

The visualization process can aid in an organization’s ability to understand the security risks associated with a particular process. The Regulatory Rationale for Integrating Data Management & Data Governance. There’s a clear connection between business process modeling and digital transformation initiatives.

Modeling 71

Modeling Digital Transformation Cost-Benefit Visualization 71

Alation

OCTOBER 4, 2022

The foundation of insurance is data and analytics. Actuaries and their mathematical models enable insurers to calculate risk to determine premiums. Today, the rise of digital insurance companies and the changing risk landscape together drive the industry’s digital transformation. Why is it Important?

Insurance 52

Insurance Data Governance Risk Strategy 52

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 76

Management Risk Measurement Optimization 76