“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 […]
How to Become a Data Governance Specialist
A Data Governance specialist is responsible for deploying and enforcing policies and procedures that ensure data is used and maintained properly. Some organizations confuse the title “Data Governance (DG) Specialist” with the title “Data Governance Manager.” The DG specialist is not a member of upper-level management and does not dictate policy. This person, however, must […]
Fundamentals of Data Access Management
Across all industries, and in businesses of all sizes, one thing holds true: The more you know about your customers, the greater your organization’s chances for success. This makes data your company’s most valuable non-human asset. As the revenue potential of data increases, the job of protecting that data becomes more important and more challenging. […]
Developing an Effective AI Strategy
The process of building a successful AI strategy has changed. In November of 2022, the evolution of artificial intelligence took a dramatic leap forward: OpenAI developed a more evolved, smarter chatbot called ChatGPT. By combining generative AI with large language models and highly functional algorithms, the company developed a chatbot supporting a new level of […]