Dataversity

APRIL 29, 2025

Yet, many organizations still apply a one-size-fits-all approach to data governance frameworks, using the same rules for every department, use case, and dataset.

Data Governance 59

Data Governance AI AI Data Quality 59

Dataversity

MARCH 17, 2025

The amount of data we deal with has increased rapidly (close to 50TB, even for a small company), whereas75% of leaders dont trust their datafor business decision-making.Though these are two different stats, the common denominator playing a role could be data quality.With new data flowing from almost every direction, there must be a yardstick or […] (..)

Data Quality 59

Data Quality Data Governance 59

Precisely

JANUARY 9, 2025

Each source system had their own proprietary rules and standards around data capture and maintenance, so when trying to bring different versions of similar data together such as customer, address, product, or financial data, for example there was no clear way to reconcile these discrepancies. A data lake!

Data Warehouse 119

Data Warehouse Hadoop Data Governance Data Lakes 119

ODSC - Open Data Science

NOVEMBER 29, 2024

As organizations amass vast amounts of information, the need for effective management and security measures becomes paramount. Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security.

Data Governance 40

Data Governance AI AI Predictive Analytics 40

Precisely

JULY 12, 2024

When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition of data: data integrity and data quality.

Data Quality 105

Data Quality Data Governance Database Analytics 105

Precisely

NOVEMBER 14, 2023

When speaking to organizations about data integrity , and the key role that both data governance and location intelligence play in making more confident business decisions, I keep hearing the following statements: “For any organization, data governance is not just a nice-to-have! “ “Everyone knows that 80% of data contains location information.

Data Governance 119

Data Governance Analytics Analytics Clustering 119

Dataversity

NOVEMBER 25, 2024

The emergence of artificial intelligence (AI) brings data governance into sharp focus because grounding large language models (LLMs) with secure, trusted data is the only way to ensure accurate responses. So, what exactly is AI data governance?

Data Governance 52

Data Governance Artificial Intelligence Artificial Intelligence AI 52

Dataversity

APRIL 7, 2025

In Aprils Book of the Month, were looking at Bob Seiners Non-Invasive Data Governance Unleashed: Empowering People to Govern Data and AI.This is Seiners third book on non-invasive data governance (NIDG) and acts as a companion piece to the original.

Data Governance 52

Data Governance Data Quality 52

Dataversity

DECEMBER 18, 2024

Issues like intellectual property rights, bias, privacy, and liability are central concerns that […] The post AI Technologies and the Data Governance Framework: Navigating Legal Implications appeared first on DATAVERSITY.

Data Governance 59

Data Governance Artificial Intelligence Artificial Intelligence AI 59

Dataversity

SEPTEMBER 4, 2024

National security aside, the […] The post The Data Governance Wake-Up Call From the OpenAI Breach appeared first on DATAVERSITY. The breach, which involved an outsider gaining access to internal messaging systems, left many worried that a national adversary could do the same and potentially weaponize generative AI technologies.

Data Governance 122

Data Governance AI AI Data Quality 122

IBM Journey to AI blog

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 85

Data Governance Data Silos Data Quality Predictive Analytics 85

Precisely

JANUARY 9, 2024

Data can only deliver business value if it has high levels of data integrity. That starts with good data quality, contextual richness, integration, and sound data governance tools and processes. This article focuses primarily on data quality. How can you assess your data quality?

Data Quality 98

Data Quality Database Data Governance Analytics 98

Dataversity

JULY 1, 2024

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking about Non-Invasive Data Governance (NIDG).

Data Governance 105

Data Governance Data Quality 105

Precisely

SEPTEMBER 19, 2024

Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications.

Data Governance 78

Data Governance Data Quality AI AI 78

Dataversity

SEPTEMBER 11, 2023

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month, we’re talking about the interplay between Data Governance and artificial intelligence (AI). Read last month’s column here.)

Data Governance 119

Data Governance Artificial Intelligence Artificial Intelligence AI 119

Dataconomy

APRIL 21, 2023

Data fidelity, the degree to which data can be trusted to be accurate and reliable, is a critical factor in the success of any data-driven business. Companies are collecting and analyzing vast amounts of data to gain insights into customer behavior, identify trends, and make informed decisions.

Data Quality 182

Data Quality Data Governance Data Visualization Power BI 182

Dataversity

NOVEMBER 6, 2023

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking about Data Quality (DQ). Read last month’s column here.)

Data Quality 119

Data Quality Data Governance 119

Dataversity

APRIL 22, 2024

So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy.

Data Quality 114

Data Quality AI AI Data Governance 114

Dataversity

MAY 17, 2024

In today’s data-driven world, organizations face increasing pressure to manage and govern their data assets effectively. Data governance plays a crucial role in ensuring that data is managed responsibly, securely, and in accordance with regulatory requirements.

Data Governance 105

Data Governance Data Quality 105

Dataversity

JANUARY 8, 2024

However, the sheer volume and complexity of data generated by an ever-growing network of connected devices presents unprecedented challenges. This article, which is infused with insights from leading experts, aims to demystify […] The post IoT Data Governance: Taming the Deluge in Connected Environments appeared first on DATAVERSITY.

Data Governance 119

Data Governance Internet of Things Data Quality 119

Dataversity

JANUARY 30, 2025

In the next decade, companies that capitalize on revenue data will outpace competitors, making it the single most critical asset for driving growth, agility, and market leadership.

Data Governance 52

Data Governance Data Quality 52

Precisely

JANUARY 4, 2024

This was made resoundingly clear in the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, which surveyed over 450 data and analytics professionals globally. 70% who struggle to trust their data say data quality is the biggest issue.

Data Quality 75

Data Quality Data Governance Analytics Analytics 75

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 Data Quality DataOps 92

Precisely

JANUARY 27, 2025

When you consider that 60% of organizations in our survey say that AI is a key influence on their data programs (up 46% from our 2023 survey), its clear that strategic investments must be made to ensure their data is ready to fuel AIs fullest potential. What are the primary data challenges blocking the path to AI success?

Data Quality 59

Data Quality Data Governance Analytics Analytics 59

Dataversity

AUGUST 22, 2022

They have the data they need, but due to the presence of intolerable defects, they cannot use it as needed. These defects – also called Data Quality issues – must be fetched and fixed so that data can be used for successful business […].

Data Quality 98

Data Quality Data Governance 98

Dataversity

APRIL 18, 2022

Since the data from such processes is growing, data controls may not be strong enough to ensure the data is qualitative. That’s where Data Quality dimensions come into play. […]. The post Data Quality Dimensions Are Crucial for AI appeared first on DATAVERSITY.

Data Quality 98

Data Quality AI AI Data Governance 98

IBM Journey to AI blog

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 94

Data Governance Data Quality AI AI 94

Alation

FEBRUARY 3, 2022

DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. So how does data governance relate to DataOps? Data governance is a key data management process. Continuous Improvement Applied to Data Governance.

Data Governance 98

Data Governance DataOps Data Quality Machine Learning 98

Dataconomy

MARCH 17, 2025

Augmented analytics is revolutionizing how organizations interact with their data. By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. This leads to better business planning and resource allocation.

Augmented Analytics 91

Augmented Analytics Analytics Analytics Natural Language Processing 91

Dataversity

MAY 8, 2023

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe […] The post Dear Laura: How Will AI Impact Data Governance? appeared first on DATAVERSITY.

Data Governance 95

Data Governance AI AI Data Quality 95

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. Plan for data quality and governance of AI models from day one.

Analytics 72

Analytics Analytics AI AI 72

Dataversity

OCTOBER 25, 2023

In fact, it’s been more than three decades of innovation in this market, resulting in the development of thousands of data tools and a global data preparation tools market size that’s set […] The post Why Is Data Quality Still So Hard to Achieve? appeared first on DATAVERSITY.

Data Quality 104

Data Quality Data Preparation Algorithm Data Silos 104

Dataversity

APRIL 3, 2025

This is the first in a two-part series exploring Data Quality and the ISO 25000 standard. Despite efforts to recall the bombers, one plane successfully drops a […] The post Mind the Gap: Did You Know About the ISO 25000 Series Data Quality Standards? Ripper orders a nuclear strike on the USSR.

Data Quality 52

Data Quality Data Governance 52

Data Science Dojo

SEPTEMBER 6, 2023

Data Security: A Multi-layered Approach In data warehousing, data security is not a single barrier but a well-constructed series of layers, each contributing to protecting valuable information. Data ownership extends beyond mere possession—it involves accountability for data quality, accuracy, and appropriate use.

Data Warehouse 195

Data Warehouse Data Governance Data Quality ETL 195

Dataversity

JANUARY 31, 2025

Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last months Data Governance & Information Quality (DGIQ) Conference in Washington, D.C.

Data Governance 52

Data Governance Data Quality 52

The Data Administration Newsletter

SEPTEMBER 19, 2023

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

Data Governance 81

Data Governance Data Classification Data Quality 81

Dataversity

DECEMBER 11, 2023

As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems. From […] The post Trends in Data Governance and Security: What to Prepare for in 2024 appeared first on DATAVERSITY.

Data Governance 111

Data Governance Data Warehouse Cloud Data Analytics 111