Tag: Data Quality

September 5, 2023

The concept of managing “data as a product” involves a paradigm shift. By treating data as a product designed for consumer use, rather than a pool of semi-chaotic information, businesses can increase their profits. Many businesses have set up customized […]

August 30, 2023

Master Data Management (MDM) is an important method for developing and maintaining the uniformity and accuracy of the organization’s shared “master data.” Master Data Management allows businesses to improve the accuracy and uniformity of their important data assets, such as […]

August 29, 2023

Without a clear understanding of core data concepts, communications around implementing an organizational Data Management initiative can become a muddle. As different teams come together to plan and organize data activities, they must integrate what they mean about data with […]

August 23, 2023

Maximizing the value of data often comes down to ensuring it’s in the right place at the right time and in the right form. While that process may produce magical-seeming results, the road to creating an optimal data quality strategy […]

August 14, 2023

Data contracts are formal agreements between a data provider and a data consumer. They abstractly describe the data as well as the exchange structure, format, and characteristics and schema of information. Why is a data contract required? Data contracts establish […]

August 10, 2023

We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues? To get to the […]

August 8, 2023

Creating a data maturity model can be useful for a business that is shifting from minimal use of its data to maximizing its potential. A data maturity model is a blueprint that can help determine the best ways to improve […]

August 1, 2023

Data Quality (DQ) describes the degree of business and consumer confidence in data’s usefulness based on agreed-upon business requirements. These expectations evolve based on changing contexts in the marketplace. As people get new information and experience different interactions, business requirements […]

July 26, 2023

With the increasing amount of data available, businesses need to have a clear, enterprise-wide plan on how to collect, analyze, and use data to make informed decisions. A well-laid-out plan or “Data Strategy” can help businesses identify gaps and take […]

July 25, 2023

Data Quality and data integrity are both important aspects of data analytics. With the rapid development of data analytics, data can be considered one of the most important assets a business owns. As a result, many organizations collect massive amounts […]

July 17, 2023

High-quality data can produce powerful insights that enhance decision-making. For data-driven organizations, this leads to successful marketing, improved operational efficiency, and easier management of compliance issues. However, unlocking the full potential of high-quality data requires effective Data Management practices. That’s […]

July 14, 2023

Data Governance is a strategic approach to managing, protecting, and using a firm’s data assets. It encompasses processes, policies, strategies, and tools that govern how a firm collects, stores, accesses, and leverages data. With Data Governance best practices, a firm […]

July 3, 2023

What are the most common causes of Data Quality issues? The conventional answer to that question includes problems like inaccurate data, duplicate data, or data containing missing values. These are the sorts of issues that organizations tend to focus on […]

June 30, 2023

Often, there are data sources within businesses that are left widely untapped, or at least, not optimized to their fullest potential. These streams of data—whether it be database transactions, web server clickstreams, or geolocation data—can offer valuable insights that unlock […]

June 29, 2023

Machine learning makes improving Data Quality easier. Data Quality refers to the accuracy of the data: High-quality data is more accurate, while low-quality data is less accurate. Accurate data/information supports good decision-making. Inaccurate data/information results in bad decision-making. So, intelligent […]

June 27, 2023

Modern businesses can stay competitive by using the best practices for master data management (MDM). These best practices promote the use of clean, accurate data about suppliers, customers, and products. This, in turn, supports better analytics and business decisions. A […]

June 22, 2023

Organizations want a solid and usable Data Strategy template – a well-thought-out plan for a set of decisions that form a pattern, charting a high-level course of action – but face challenges. For example, only 30% of companies have impactful […]

June 20, 2023

Data Governance (DG) is a business program and bedrock that supports harmonized data activities across the organization. It accomplishes this goal as a formalized framework implemented to the specifications of a corporate Data Strategy. Applying governance, as a whole, requires […]

June 19, 2023

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline. While this technique is practical for in-database verifications – as tests […]

June 15, 2023

Business leaders often make corporate decisions in haste, based on data that is neither thoroughly analyzed nor understood. This can pose a serious threat to data-driven decision-making. Additionally, businesses risk losing a competitive edge by not following important business analytics […]