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

erwin

JANUARY 24, 2019

They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. Benefits of an Automation Framework for Data Governance.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

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 134

IT Risk Cost-Benefit Risk Management 134

CIO Business Intelligence

DECEMBER 19, 2023

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control.

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

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

erwin

AUGUST 20, 2020

It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. Benefits of Enterprise Architecture. Through EA, organizations benefit from a context-rich, top-down and holistic perspective of their structure, including its limitations and potential.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

Cloudera

JUNE 22, 2023

These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change. The top-line benefits of a hybrid data platform include: Cost efficiency. Simplified compliance.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

datapine

SEPTEMBER 29, 2022

No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. The 5 Pillars of Data Quality Management.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

FEBRUARY 7, 2024

“In the predominantly SaaS applications-based IT architecture, bidirectional data flow between applications is best enabled via APIs,” he says. API-first development yields a multitude of benefits, he adds, including abstraction of the underlying data, increased automation, better governance over data usage, and a more accessible audit trail.

Business Objectives 123

Business Objectives Cost-Benefit Strategy Data-driven 123

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 Are the Benefits of Cloud Transformation? Enhanced Cost Management.

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 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. Is it sensitive or are there any risks associated with it?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

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 130

Modeling Risk Strategy Software 130

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

IBM Big Data Hub

FEBRUARY 23, 2024

Some of the most important GDPR principles include the following: All processing must have an established legal basis: Data processing is only acceptable if the organization has an approved legal basis for that processing. Organizations must document the legal basis for every processing operation before beginning.

Measurement 83

Measurement Risk Data Collection Data Processing 83

CIO Business Intelligence

NOVEMBER 9, 2022

Have a data governance plan as well to validate and keep the metrics clean. In my previous company, our advanced material business had a saying, ‘Go fast, take risks, and learn,’” says Keith Carey, CIO at Hemlock Semiconductor, a maker of products for the electronic and solar power industries.

Analytics 136

Analytics Slice and Dice Metrics Sales 136

Ontotext

MARCH 18, 2020

They use semantics – it means that data is organized by meaning and put into the right context, which prevents data silos. Finally, they combine classical technologies like data governance and data management with modern analytics. Ontotext Knowledge Graph Platform.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Alation

NOVEMBER 17, 2022

But what does it mean for an organisation to be truly data-driven? What foundation needs to be in place at the start, and what journey does an organisation need to embrace to benefit from the forensic insights their data can reveal? But let’s start with the benefits, because they are manifold.

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 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

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

O'Reilly on Data

JULY 28, 2020

This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. The Advertising team was more interested in cost per lead (CPL) and lifetime value (LTV), while the Strategy team was aligned to corporate metrics (revenue impact and total active users).

Marketing 362

Marketing Experimentation Metrics Testing 362

Domino Data Lab

OCTOBER 1, 2020

Traditionally, this problem has been solved by either denying access to this data altogether (a not infrequent outcome), or creating and maintaining multiple copies of many datasets for each possible use case by omitting the data that a particular user is not allowed to see (e.g. PII, PHI, etc). So what does this look like?

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. There are millions of advanced spreadsheet users, and they spend more than a quarter of their time repeating the same or similar steps every time a spreadsheet or data source is updated or refreshed.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

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 101

Cost-Benefit Metadata Data Governance Reporting 101

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Humans can’t keep up.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. In this post: What Is a Data Model? Why Is Data Modeling Important?

Modeling 111

Modeling Cost-Benefit Visualization Metadata 111

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

IBM Big Data Hub

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. taxpayer details and needs to quickly analyze petabytes of data across hundreds of servers.

Data Lake 73

Data Lake Cost-Benefit Digital Transformation Risk 73

IBM Big Data Hub

APRIL 11, 2024

In An Overview of Catastrophic AI Risks , the authors identify several mitigations that can be addressed through governance and regulation (in addition to cybersecurity). They identify international coordination and safety regulation as critical to preventing risks related to an “AI race.”

Risk 78

Risk Consulting Modeling Data Processing 78

CIO Business Intelligence

AUGUST 16, 2023

But Databricks isn’t the only data platform with its own LLM. John Carey, MD of the technology solutions group at global consulting firm AArete, uses Document AI, a new model now in early release from Snowflake that allows people to ask questions about unstructured documents. You’re directly obligated to protect their privacy.”

Modeling 94

Modeling Enterprise Cost-Benefit Marketing 94

IBM Big Data Hub

OCTOBER 20, 2023

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction. What types of features do AI platforms offer?

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

Alation

APRIL 26, 2021

That’s why it’s critical that important terms be defined, documented, and made visible to everyone. This is where a data dictionary and business glossary become useful for getting both your business and IT teams on the same page. Data terms could be database schemas, tables, or columns. Who benefits from a data dictionary?

IT 52

IT Metrics Machine Learning Cost-Benefit 52

Grooper

AUGUST 19, 2019

C-level executives and professionals alike must learn to speak a new language - data. The benefit of speaking data, a.k.a. The reason data literacy plays such an important role in choosing the right technology solutions is that it directly impacts the quality of the requirements list. Master data management.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

Domino Data Lab

JULY 2, 2019

The authors of AutoPandas observed that: The APIs for popular data science packages tend to have relatively steep learning curves. People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits. The benefits of this approach (lower cognitive load, etc.)

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Grooper

OCTOBER 23, 2019

With the increasing value of data and more tools to process and analyze information than ever before, companies with information governance and master data model programs are outpacing their peers. Simply storing information without a detailed road map for how the data can and should be used is not enough. Governance.

Metrics 59

Metrics Measurement Strategy Optimization 59