Data has become one of the most valuable assets of modern businesses. The data a company collects, analyzes, and monetizes is now perceived as a distinct “asset class” rather than merely a byproduct of its IT operations. However, the value of data to an organization diminishes rapidly as the information becomes less accurate. Companies are responding […]
Data Modeling Trends in 2024
Expect an increase in business-driven and elegant Data Modeling – the plans, and activities around diagramming requirements for data architecture. These Data Modeling trends will gain traction as budgets for newer projects decrease and mandates to improve Data Quality increase, as resolution to each data incident has risen by 15 hours between 2022 and 2023. Stakeholders clamor for returns from AI after investing heavily, […]
Data-Driven Decision-Making 101
Data-driven decision-making involves utilizing data and analytics to solve business problems. Relying on facts rather than intuition or personal opinions can lead to more accurate and effective decisions. In business organizations, evidence-based decisions can optimize operations, enhance productivity, and drive growth. By examining trends, patterns, and correlations within datasets, business operators can uncover valuable information that helps […]
Fundamentals of Document Databases
A document database (sometimes referred to as a “document store” or a “document-oriented database”), is a NoSQL or non-relational database. However, document databases use an index to associate “keys” with “documents,” making them more efficient at retrieving data. Unlike relational databases, document databases are not structured with a format of rows and columns, but scale […]
Building a Successful Data Quality Program
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 […]