A data catalog inventories and makes critical datasets available through metadata management. This platform informs businesspeople about what dataset assets exist and are related, where to find them, when they appeared, who created them, and how to access them, among other insights. As centralized repositories, data catalogs aim to be relevant to users across an organization, […]
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 […]
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 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 […]
Data Science vs. Machine Learning vs. AI
In the data economy, data is king. Today, any business – small, medium, or large – thrives on its data assets. The recent trend of offering data-driven insights as a service has opened up a profitable revenue channel for businesses. Cloud computing and hosted analytics have brought data-as-a-service to the desktops of ordinary business users, […]
What Is a Data Warehouse?
A data warehouse is a centralized repository that stores and provides decision-support data and aids workers engaged in reporting, query, and analysis. Data warehouses represent architected data schemas that make it easy to find relevant data consistently and research details in a stable environment. Data sources, including data lakes, can pipe data to a data warehouse. […]
What Is Data Governance? Definition, Types, Uses
Data Governance (DG) is a business program and bedrock that supports harmonized data activities across the organization. It accomplishes this goal as a formalized framework implemented to the specifications of a corporate Data Strategy. Applying governance, as a whole, requires connecting different components – such as roles, processes, communications, metrics, and tools – to increase the likelihood that the […]
Data Fabric Use Cases
Data is expanding in volume, variety, and sources; therefore, so is the business need for trustworthy, accurate, and timely data for on-demand “competitive intelligence.” Data fabric use cases offer a long-range technological solution for handling the myriad challenges that come with such a complex data ecosystem. This “converged platform,” designed with a unique architecture and […]
Challenges of Data Governance in a Multi-Cloud World
Today, it would be really hard to find a business totally free of cloud services. In spite of battling centralized “no-cloud” policies in some enterprises, individual departments, work groups, and units are increasingly subscribing to services for data storage and backup, media services, CRM, hosted analytics, and more. Even developers are using Infrastructure-as-a-Service (IaaS) and […]
Data Leadership: The Key to Data Value
Data and business have become inseparable, so if your business isn’t using data effectively, you’re in trouble. Yet using it effectively can be a struggle. Not knowing how to find the right data, not trusting the available data, and not having confidence in the tools and people providing that data can lead people to conclude […]