Astera

APRIL 23, 2024

This data ranges from customer information to sales records, employee performance, and more. However, if this data is inaccurate, outdated, or incomplete, it becomes more of a liability than an asset, making it more important to measure its health. To do so, they need data quality metrics relevant to their specific needs.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Dataversity

DECEMBER 24, 2020

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The post The 12 Days of Data Management appeared first on DATAVERSITY.

Data Management 242

Data Management Data Quality Master Data Management Data Governance 242

Dataversity

FEBRUARY 15, 2023

Project Open Data is a place where fostering collaboration and promoting improvement in open data policy is intended. This […] The post How Can Project Open Data Improve Data Quality? appeared first on DATAVERSITY.

Data Quality 130

Data Quality Government Data Governance Data Management 130

Dataversity

NOVEMBER 9, 2023

In today’s data-driven world, where every byte of information holds untapped potential, effective Data Management has become a central component of successful businesses. The ability to collect and analyze data to gain valuable insights is the basis of informed decision-making, innovation, and competitive advantage.

Data Management 147

Data Management Innovation Data Quality Data Governance 147

Astera

APRIL 3, 2024

What is a data quality framework? A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. It’s not a magic bullet—data quality is an ongoing process, and the framework is what provides it a structure.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Dataversity

JANUARY 19, 2021

.” The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, Data Quality, and so much […].

Data Quality 130

Data Quality Data Management Data Governance Government 130

Dataversity

FEBRUARY 10, 2023

Likewise, at the back end, they must build a sturdy testing environment that prepares the application for big data inflows. As we know, chief information officers (CIOs) are at the helm of […] The post Understanding the Role of CIOs in Test Data Management appeared first on DATAVERSITY.

Data Management 228

Data Management Big Data Government Data Quality 228

Astera

APRIL 4, 2024

However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Dataversity

DECEMBER 15, 2023

As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies.

Data Management 147

Data Management Data Quality Data Governance Data Architecture 147

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Dataversity

MAY 1, 2023

The remainder of this point of view will explain why connecting […] The post Connecting the Three Spheres of Data Management to Unlock Value appeared first on DATAVERSITY. But only very few have succeeded in connecting the knowledge of these three efforts.

Data Management 244

Data Management Documentation Data Modelling Data Quality 244

Dataversity

MAY 12, 2023

However, most companies fumble their approach to Data Management and fail to draw insights as a result. Data Management might seem like a back-office function, but it is critical to a modern company’s success. Getting started with or fixing your Data Management processes might seem intimidating.

Data Management 130

Data Management Data Quality Data Governance Government 130

Dataversity

NOVEMBER 13, 2023

In September, I had the privilege of co-hosting a new special interest group (SIG), Women in Data Management and Governance, alongside DATAVERSITY’s Shannon Kempe, at a pre-conference Enterprise Data World (EDW) event.

Government 173

Government Data Management Data Governance Data Quality 173

Dataversity

MAY 7, 2024

Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3.

Data Quality 147

Data Quality Data Management Master Data Management Data Governance 147

Dataversity

MAY 19, 2023

In the early days of business analysis and underwriting, data was managed with simply a pen and paper and, of course, Excel spreadsheets. As technology has advanced, databases, warehouses, and data lakes have enabled information to be collected, stored, and managed electronically.

Data Management 130

Data Management Business Analysis Business Analysis Data Quality 130

Dataversity

JUNE 23, 2023

Some verticals, notably financial services, are beginning to tie ESG information directly to investment decisions, while all companies are realizing that […] The post Logical Data Management for Environmental, Social, and Governance (ESG) Initiatives appeared first on DATAVERSITY.

Government 130

Government Data Management Data Governance Data Quality 130

Dataversity

OCTOBER 23, 2023

This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […] The post Why Master Data Management (MDM) and AI Go Hand in Hand appeared first on DATAVERSITY.

Master Data Management 162

Master Data Management Data Management Data Quality Data Governance 162

Dataversity

APRIL 23, 2021

Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. Click to learn more about author Brian Platz.

Master Data Management 227

Master Data Management Data Management Data Governance Data Quality 227

Smart Data Collective

APRIL 29, 2020

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. What is data management?

Data Management 211

Data Management Data Warehouse Master Data Management Digital Transformation 211

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Timo Elliott

MAY 19, 2023

Mastering Data Hygiene Reliable data is at the core of all digital transformation. Here’s a great example of how technology can help make sure that you have a solid information foundation for innovative new business processes. It’s always about people!

Innovation 246

Innovation Digital Transformation Data Quality Procurement 246

Tableau

APRIL 12, 2021

Product Manager, Tableau Prep. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kristin Adderson. Until 2021.1,

Data Quality 102

Data Quality Monitoring Data Discovery Data Management 102

Dataversity

APRIL 22, 2022

As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively. This is where the following 16 internal Data Management best practices come […]. The post 16 Internal Data Management Best Practices appeared first on DATAVERSITY.

Data Management 130

Data Management Digital Data Quality Data Governance 130

Dataversity

JANUARY 20, 2021

The smart factory and plant now incorporate an array of connected technologies, all generating a vast volume of data. As a result, data will continue its exponential growth, […]. The post Why Effective Data Management Is Key in a Connected World appeared first on DATAVERSITY.

Data Management 246

Data Management Digital Transformation Digital Master Data Management 246

Dataversity

MARCH 10, 2021

Companies must create a standard for their data that fits their business needs and processes. The post Three Reasons to Take a More Holistic Approach to Data Management appeared first on DATAVERSITY. To determine what those are, start by asking […].

Data Management 246

Data Management Data Requirement Data Quality Data Governance 246

Dataversity

NOVEMBER 7, 2022

Data quality issues have been a long-standing challenge for data-driven organizations. Even with significant investments, the trustworthiness of data in most organizations is questionable at best. Gartner reports that companies lose an average of $14 million per year due to poor data quality.

Data Quality 242

Data Quality Data Management Data Governance Government 242

Dataversity

FEBRUARY 15, 2021

This article introduces Force-Field Analysis (FFA) [1], a tool that one of us (Tom) has used for many years to help understand and summarize the impacts of multiple factors in the data space. The post Increasing the Business Impact of Data Management Using Force-Field Analysis appeared first on DATAVERSITY.

Data Management 246

Data Management Chief Data Officer Data Quality Data Governance 246

Dataversity

APRIL 11, 2023

Thus, it is crucial to manage and streamline quality test data. This test data is used to build real-time scenarios […] The post How Can Your Organization Implement the Right Test Data Management (TDM) Strategy? appeared first on DATAVERSITY.

Data Management 130

Data Management Agile Data Quality Data Governance 130

Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Dataversity

NOVEMBER 1, 2021

Many in enterprise Data Management know the challenges that rapid business growth can present. Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers. The enterprise […].

Data Governance 130

Data Governance Government Data Management Master Data Management 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Data Governance Government 130