Data observability is the practice of monitoring and analyzing the health of an organization’s data and data systems. Essentially, it gives you a 360o overview of what’s happening with your data at any given point in time. This practice is beneficial, as it provides all stakeholders with an in-depth insight into how their data is collected, […]
What Is Data Preparation?
Data preparation describes the process of getting data ready for use in analytics. In the past, data preparation was a time-consuming task handled by the IT team, involving “data extraction, transformation and loading (ETL), access to data warehouses and data marts, and lots of complicated massaging and manipulation of data across other data sources,” says […]
What Is Data Privacy? Definition, Benefits, Use Cases
Data privacy describes a set of principles and guidelines to ensure the respectful processing, protection, and handling of sensitive data linked to a person. This concept ties to who can define, observe, use, and control a person’s information and how. Typically, privacy spans two types of levels: implicit rules and written legislation. Implicit rules cover norms, behaviors, and values […]
What Is Data Profiling?
Data profiling is the process of analyzing data to get a basic understanding of what it contains. It examines the data in tables or columns to determine values, patterns, and anomalies distribution. It’s essential to Data Quality Management because it helps business users understand their data and decide whether it meets their needs. You can perform […]
What Is Data Quality? Dimensions, Benefits, Uses
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 face updating, redefining Data Quality needs within the data’s lifespan. Since DQ represents a moving […]
What Is Data Science?
Data Science is a combination of scientific disciplines “to build predictive models that explore data content patterns,” according to the Data Management Body of Knowledge (DMBoK). Data Science, formerly known as applied statistics: “Integrates methods from mathematical, statistical, computer science, signal processing, probability modelling, pattern recognition machine learning, uncertainty modeling and data visualization towards gaining […]
What Is Data Security?
Data security describes the implementation of policies and procedures to ensure people and things take the right actions with data and information assets, even in the presence of malicious inputs. The right actions mean controlling and enabling data activity by balancing needs from: Stakeholders: Protect personal information while allowing access for legitimate transactions agreed upon […]
What Is Data Stewardship?
Data stewardship (DS) is the practice of overseeing an organization’s data assets to ensure they are accessible, reliable, and secure throughout their lifecycles. It is a framework of roles, responsibilities, and processes designed to support the organizational strategy through a data governance (DG) program. At its core, data stewardship comprises data stewards – formalized roles that take responsibility for their […]
What Is Data Storage?
Data storage describes what type of, where, and how hardware or software holds, deletes, backs up, organizes, and secures information. This includes keeping data in temporary or permanent storage. The digitization of manufacturing, known as Industry 4.0, is a good example of how the enormous volumes of data, real-time analysis, and quickness drive innovation and […]
What Is Data Virtualization?
Data virtualization is a special kind of data integration technology that provides access of data in real time, seamlessly all in one place. Think of it like a television guide which contains a listing of shows on a variety of channels, without having to be on that channel to see the content. In data virtualization, […]