Creating a successful Data Quality program is essential for any organization seeking to use their data for improving efficiency and better decision-making. Data of poor quality can result in decisions that damage the business. Building a successful Data Quality program helps to ensure the data is of the highest quality, making it both useful and […]
Gaining Leadership Support for Data Governance
Among today’s data-driven businesses, there’s no lack of support for Data Governance. But that enthusiasm doesn’t always make its way to the top of the management chain. “If you don’t have senior leadership sponsorship and understanding of your Data Governance program, your program is going to be at risk,” said Robert S. Seiner, president and […]
Conceptual vs. Logical vs. Physical Data Modeling
Businesses face lightning-fast and massive data growth “at a time when analytical capabilities cannot even come close to meeting them,” said Dr. Peter Aiken at his recent Data-Ed webinar, “Conceptual vs. Logical vs. Physical Data Modeling.” An acknowledged Data Management authority and president of DAMA International, Aiken explained that a lack of understanding and documentation of a company’s Data […]
Data Observability Use Cases
“Data observability” can be described as the practice of monitoring the “health and state” of data pipelines in your system. This practice encompasses some technologies and activities that enable business operators to identify, examine, and solve data-related problems in near real time. Though organizations rely heavily on accurate and reliable data to make informed decisions, […]
Master Data Management Tools
Master data management uses a combination of tools and business processes to ensure the organization’s master data is complete, accurate, and consistent. Master data describes all the “relatively stable” data that is critical for operating the business. This includes semi-permanent information about products, locations, employees, customers, etc. For example, if a specific customer purchases several products […]
What Are Data Sharing Agreements and Why Are They Important?
Data sharing agreements play a crucial role in today’s interconnected world as global organizations depend on the quick sharing of information for efficient business outcomes. In the simplest terms, data sharing agreements outline the conditions under which data may be shared between parties, with full attention to confidentiality and legal compliance. Legal Requirements and Confidentiality […]
Metadata Management Best Practices
Using metadata management best practices helps to maximize the value of the data stored by an organization. Finding the right data after it has been placed in storage can be difficult if the storage system has no organization. Metadata is used to organize the data so it can be found easily. Metadata is essentially a […]
Elements of a Modern Data Warehouse
Businesses are generating vast amounts of information every second. Traditional data warehouses, which were once considered the gold standard for handling and analyzing large datasets, are struggling to keep up with the rapid pace of data growth and evolving analytics requirements. This has given rise to the concept of modern data warehouse, which provides a […]
What Does a Data Scientist Do?
The multifaceted role of a data scientist goes far beyond crunching numbers and analyzing datasets. So, what does a data scientist do? In today’s data-driven world, these professionals are required to possess a diverse range of skills and knowledge to truly excel in their field. While technical expertise in statistics, programming languages, and machine learning […]
Critical Data Elements Explained
The process of identifying critical data elements (CDEs) is a fairly new best practice in Data Governance programs. Software does not yet support the identification process. CDEs may be described as the specific data needed for doing business (requiring high-quality data) or the specific data that is extremely sensitive (requiring good security). These particular data […]