CIO Business Intelligence

NOVEMBER 27, 2024

By eliminating time-consuming tasks such as data entry, document processing, and report generation, AI allows teams to focus on higher-value, strategic initiatives that fuel innovation. Above all, robust governance is essential.

Data Governance 132

Data Governance Risk Insurance Metadata 132

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 347

Enterprise Deep Learning Data Governance Risk 347

CIO Business Intelligence

JULY 23, 2024

Call it survival instincts: Risks that can disrupt an organization from staying true to its mission and accomplishing its goals must constantly be surfaced, assessed, and either mitigated or managed. While security risks are daunting, therapists remind us to avoid overly stressing out in areas outside our control.

Risk 142

Risk IT Risk Management Cost-Benefit 142

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

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

No less daunting, your next step is to re-point or even re-platform your data movement processes. And you can’t risk false starts or delayed ROI that reduces the confidence of the business and taint this transformational initiative. Why You Need Cloud Data Governance. GDPR, CCPA, HIPAA, SOX, PIC DSS).

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability.

Data Governance 128

Data Governance Metadata Cost-Benefit Data-driven 128

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

NOVEMBER 28, 2024

Courage and the ability to manage risk In the past, implementing bold technological ideas required substantial financial investment. Plus, forming close partnerships with legal teams is essential to understand the new levels of risk and compliance issues that gen AI brings.

IT 130

IT Data Governance Risk Consulting 130

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. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

erwin

APRIL 15, 2020

In our businesses, it is vital that we work to develop a deeper understanding of the sources, methods and quality of incoming third-party data. This deeper understanding will help us make better decisions about the risks and rewards of using that external data. Data Governance Methods for Data Distancing.

Data Governance 134

Data Governance Metadata Testing Reporting 134

CIO Business Intelligence

OCTOBER 29, 2024

Data is the engine that powers the corporate decisions we make; from the personalized customer experiences we create to the internal processes we activate and the AI-powered breakthroughs we innovate. Reliance on this invaluable currency brings substantial risks that could severely impact an enterprise.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Is it sensitive data or are there any risks associated with it?

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

CIO Business Intelligence

SEPTEMBER 26, 2024

Cybersecurity and systemic risk are two sides of the same coin. As we saw recently with the CrowdStrike outage, the interconnected nature of enterprises today brings with it great risk that can have a significant negative effect on any company’s finances. This should be no surprise since the global average cost of a data breach is $4.88

Risk 132

Risk Reporting Digital Transformation Enterprise 132

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

CIO Business Intelligence

JANUARY 21, 2025

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. Placing an AI bet on marketing is often a force multiplier as it can drive data governance and security investments.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

OCTOBER 9, 2024

“And there are dangers of moving too fast,” including bad PR, compliance or cybersecurity risks, legal liability, or even class-action lawsuits. Even if a gen AI failure doesn’t rise to the level of major public embarrassment or lawsuits, it can still depress a company’s risk appetite , rendering it hesitant to launch more AI projects.

Risk 137

Risk Risk Management Technology Marketing 137

CIO Business Intelligence

MAY 24, 2023

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program.

Data Governance 118

Data Governance Data Quality Data Collection Publishing 118

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 117

Data Governance Unstructured Data Metadata Data Lake 117

CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 145

Risk Data Science Machine Learning Consulting 145

TDAN

FEBRUARY 14, 2023

However, if there is no strategy underlining how and why we collect data and who can access it, the value is lost. Not only that, but we can put our business at serious risk of non-compliance. Ultimately, data governance is central to […]

Data Governance 98

Data Governance Data Analytics Analytics Measurement 98

Cloudera

NOVEMBER 2, 2021

Data governance: three steps to success. It is safe to assume that businesses understand the importance of good data governance. Afterall, lack of good data governance practices creates substantial liabilities, from regulatory fines to brand erosion. Know what data you have.

Data Governance 97

Data Governance Data-driven Data Processing Risk 97

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

CIO Business Intelligence

JULY 23, 2023

Companies from all industries worldwide continue to increase investments in BPM/Workflow, Robotic Process Automation (RPA), machine learning (ML), and artificial intelligence (AI), and accelerate operational transformations to automate and make data governance more agile to keep up with the exponential growth of incoming information.

Data Governance 98

Data Governance Unstructured Data Cost-Benefit Machine Learning 98

Alation

APRIL 13, 2021

Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

Insurance 98

Insurance Data Governance Data-driven Data Quality 98

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

Alation

JANUARY 19, 2023

The words “ data governance ” and “fun” are seldom spoken together. The term data governance conjures images of restrictions and control that result in an uphill challenge for most programs and organizations from the beginning. Or they are spending too much time preparing the data for proper use.

Data Governance 94

Data Governance IT Metadata Recreation/Entertainment 94

Cloudera

JUNE 14, 2024

But for all the excitement and movement happening within hybrid cloud infrastructure and its potential with AI, there are still risks and challenges that need to be appropriately managed—specifically when it comes to the issue of data governance. The need for effective data governance itself is not a new phenomenon.

Data Governance 74

Data Governance Data-driven Insurance Enterprise 74

CIO Business Intelligence

JULY 28, 2023

For example, it can also provide additional information on the data’s source and value. As well as supporting data governance, it enhances data accuracy. It is vital to map relationships between data entities to reduce redundancies and make analysis more accurate by reducing errors and repetition.

Risk 98

Risk Data Governance Enterprise Data Integration 98

IBM Big Data Hub

MAY 9, 2024

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

Data Governance 66

Data Governance Data Quality Insurance Predictive Analytics 66

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). Governance, risk and compliance are treated as isolated bubbles. Data-related risks are not connected with the data architects/data scientists.

Risk 98

Risk Slice and Dice Management Enterprise 98

O'Reilly on Data

JANUARY 8, 2019

Companies will continue to invest in tools for data security and privacy, but we expect to see an increased focus on tools for privacy-preserving analytics—areas where researchers and startups have been actively engaged. A few years ago, most internet of things (IoT) examples involved smart cities and smart governments.

Machine Learning 271

Machine Learning IoT Internet of Things Data Science 271

O'Reilly on Data

FEBRUARY 11, 2019

At Strata Data San Francisco, Netflix , Intuit , and Lyft will describe internal systems designed to help users understand the evolution of available data resources. As companies ingest and use more data, there are many more users and consumers of that data within their organizations. Data Platforms.

Big Data 271

Big Data Technology Machine Learning Deep Learning 271