What is self-service data?
Self-service data refers to accessing data without going through IT. Business analysts, data analysts, and even executives can access it. It’s an essential concept because it allows users to find the information they need when they need it without waiting for someone else’s approval or intervention. Self-service data empowers individuals and the organization overall by giving them more control over their workflows and processes.
Businesses are consuming increasingly large volumes of data and business analysts are struggling to keep up.
Businesses are collecting and consuming more data than ever before, and data is growing at a faster rate than business analysts can process it. Business analysts need to access the right data and make better decisions faster for their organizations to thrive in today’s competitive environment. Businesses have already been looking for ways to enable their business analysts with self-service data. According to Gartner’s 2019 CIO Agenda Survey: Data & Analytics, “by 2022, 85% of enterprises will use self-service analytics tools for their most strategic decisions.” So, how have organizations leveraged self-service data to achieve business success?
How Does Self-Service Data Enable Data and Business Analysts?
-
Increased Agility: With self-service data, Data and Business Analysts can access the data they need and explore it right away, without waiting for IT or other technical resources to provide it. This allows them to be more nimble and respond quickly to changing business needs.
-
Improved Accessibility: Self-service data democratizes data by making it accessible to a wider range of users. This means that Data and Business Analysts can access data that was previously unavailable to them or that was difficult to obtain.
-
Enhanced Collaboration: With self-service data, Data and Business Analysts can easily share data and insights with others in the organization, enabling collaboration and data-driven decision making.
-
Faster Insights: Self-service data enables Data and Business Analysts to quickly test hypotheses and explore different data sets. This can help them uncover new insights more quickly, leading to more efficient decision making and ultimately better business outcomes.