Self-service analytics provides users across the business the ability to gain insights from their data, even if they don’t have analytics expertise. By giving end users the tools they need to access, visualize and explore their data, design dashboards and run reports, your IT teams, analysts and data scientists can focus on more critical strategic projects.
Today, businesses are creating and accumulating data at an incredible pace. But making that data easily available to every day users is one of the biggest hurdles to turning your data into real business value. With self-service data analytics, users can gain insights far more easily and quickly, helping organizations realize the value of their data faster.
Access to self-service analytics tools means business users no longer have to submit a request to IT or an analyst and then wait for answers that may already be outdated. Nor do they have to rely solely on intuition, which could result in poor decisions and costly mistakes.
Instead, self-service analytics facilitates a data-driven culture by giving non-technical users insights at the exact moment they need them, and informed guidance in the form of recommendations. When combined with streamlined business processes and employee training, businesses can also increase data literacy across all business functions.
This practical guide includes an in-depth BI evaluation checklist to help you select the optimal analytics technology for your organization.
A best-in-class, self-service business intelligence architecture is just one way Qlik Sense® sets the benchmark for next-generation data analytics technologies. Our one-of-a-kind associative analytics engine and sophisticated AI empowers people at all skill levels to freely explore data, make bigger discoveries and uncover bolder insights that can’t be obtained using other analytics tools. With Qlik, you can support nearly any use case and massively scale users and data, empowering everyone in your organization to make better decisions every day.