The terms “master data” and “reference data” can be confused fairly easily. Both provide data that changes only occasionally over time and provide data that is designed to be accurate and up to date.  Master data provides the accurate information needed for business transactions that are critical to the running of a business – the […] The post Master Data vs. Reference Data appeared first on DATAVERSITY ..read more

Over time, different types of data integrity systems and methods for promoting data integrity have been developed. Data integrity emphasizes confirming the data remains unchanged and consistent over the data’s entire lifecycle. In essence, the data remains pure and uncorrupted. Security plays an important role in ensuring the data is not altered and maintains its […] The post Types of Data Integrity appeared first on DATAVERSITY ..read more

In the world of data analytics, dashboard tools are pivotal instruments, distilling vast quantities of complex data into comprehensible, actionable insights. These tools are not mere luxuries but necessities for organizations aiming to navigate the data-rich environment of today’s digital businesses. By leveraging dashboard tools, businesses can transform raw data into a visually engaging and […] The post Dashboard Tools for Data Analytics appeared first on DATAVERSITY ..read more

“Can I trust this data?” In the dawning age of artificial intelligence (AI), this question becomes increasingly critical for individuals and organizations. Data reliability is the cornerstone of an organization’s data-driven decision-making. A recent survey from Precisely identified data-driven decision-making as the primary goal of 77% of data initiatives, yet only 46% of organizations have high or very […] The post What Is Data Reliability and Why Do You Need It? appeared first on DATAVERSITY ..read more

Imagine a rapidly expanding small business with a 20% yearly growth tasked with establishing and maintaining a data-literate culture. Then, add a new Data Architecture upgrade with considerable changes to the business logic to this situation, causing a full-on panic. This journey, marked by confusion over data definitions and anxiety over system changes, describes the situation that Brooke Gajownik, director of […] The post Case Study: Establishing a Data-Literate Culture appeared first on DATAVERSITY ..read more

The process of data classification can be broadly described as the organization of data into relevant categories, allowing it to be accessed and protected more efficiently. In the simplest terms, the data classification process ranks data based on its security needs and makes it easier to locate and retrieve data. Classification is especially useful to […] The post Fundamentals of Data Classification appeared first on DATAVERSITY ..read more

A data monetization strategy is an executable plan for extracting “value” from data and converting it into revenue-generating opportunities. It involves analyzing and leveraging data to uncover insights that can be used to drive business growth, enhance customer experiences, and create new revenue streams.  Organizations collect large volumes of raw data from various sources such […] The post Creating a Data Monetization Strategy appeared first on DATAVERSITY ..read more

Graph databases have improved significantly since the 1990s, with new developments and a better realization of best practices. Graph technology has become one of the most popular methods of performing big data research. Its focus on finding relationships and its flexibility make it ideal for a variety of research projects. An awareness of new developments […] The post Graph Databases: Benefits and Best Practices appeared first on DATAVERSITY ..read more

A data lakehouse, in the simplest terms, combines the best functionalities of a data lake and a data warehouse. It offers a unified platform for seamlessly integrating both structured and unstructured data, providing businesses agility, scalability, and flexibility in their data analytics processes. Unlike traditional data warehouses that rely on rigid schemas for organizing and […] The post Data Lakehouse Architecture 101 appeared first on DATAVERSITY ..read more

The rapid growth of digital data has led to a significant environmental impact that cannot be overlooked. Understanding the need for a greener digital landscape and sustainable data management is crucial to mitigate this impact and ensure an eco-friendly future. Data management, including storage, processing, and transmission, requires vast amounts of energy.  Additionally, the manufacturing […] The post Sustainable Data Management: Trends and Benefits appeared first on DATAVERSITY ..read more