Data integrity is the totality of a dataset’s validity and consistency over its entire life cycle. In other words, it refers to the correctness and trustworthiness of data. It can be applied to any dataset, from personal information to business records. Data is valid if it contains only correct (accurate) information and can be trusted (reliable). […]
What Is Data Intelligence?
Just as a business must be effective in monitoring and managing finances, it also needs data intelligence capabilities to monitor and manage its data assets. Data intelligence, describes discovering, understanding, and governing data so that the business gets the maximum value in its investment of data with the minimum risk. This can also mean a […]
What Is Data Leadership?
Data leadership refers to individuals implementing improved processes for coordinating and managing data within an enterprise. Although data-driven decisions are on the rise, business leaders still struggle to make accurate decisions because of issues such as data silos, poor data quality, and lack of data trust. More companies are focusing on hiring team members with extensive […]
What Is Data Lineage?
An apt metaphor for data lineage is that of complex book keeping. But, instead capturing financial transactions in a ledger, data asset values populate a given platform or document. Data lineage describes data origins, movements, characteristics, and quality across the data lifecycle. Typically, data lineage has been thought of as map of tables and joins, […]
What Is Data Literacy? Definition, Components, Uses
Data literacy (DL) describes how well an individual or organization understands, works with, analyzes, visualizes, and applies data to reach their goals. The specific context and use case determine what applying data literacy looks like in practice. For example, while reading visualizations on product deliveries provides value, true data literacy involves going further. It involves actively […]
What Is Data Management? Definition, Benefits, Uses
Data Management (DM) comprises a comprehensive collection of consistent and responsible practices, concepts, and processes. These resources align data for business success and implement a Data Strategy. Additionally, they span long-term, abstract planning to hands-on, day-to-day data activities. Since DM spans many outcomes, behaviors, and activities throughout the data lifecycle, companies find organizing it into a framework helpful. […]
What Is Data Mesh?
Data mesh is a type of organization and architectural paradigm, or – in simpler words – a distributed architecture for Data Management. The goal is to provide accessibility by distributing the data in the way that the end user needs it. It allows teams to embrace a self-serve data architecture design where they can look at data as […]
What Is Data Migration?
Data migration describes transferring data between storage types, formats or computer systems with as little change as possible. Due to acquisitions, relocation, or outgrowing a current system, companies find the need to migrate data. More than just a “lift and shift” approach, good data migration catalyzes rethinking of Data Strategy and Data Architecture through: Upgrading […]
What Is Data Mining?
Data Mining is an older (and now allied) subset of machine learning and artificial intelligence that deals with large data sets. It uses pattern recognition technologies with statistical and mathematical techniques to forecast business trends and find useful patterns. “Data mining is also known as Knowledge Discovery in Data (KDD).” A component of data mining, […]
What Is Data Modeling? Types, Benefits, Uses
Data Modeling describes the plans and activities around diagramming data requirements for business operations across one or more systems. This blueprint defines unique data entities (such as tables, systems, concepts, and hubs) and their characteristics (such as inheritance, importance, and physical structures) along with how the data flows between entities. Organizations create or update data models anytime, depending […]