Big data is becoming an integral part of nearly every organization and business. It’s spreading so rapidly, organizations are finding it difficult to manage with a limited number of data science professionals. Enter self-service analytics.
Self-service analytics can be defined as a simplified, scaled down form of business intelligence (BI). This gives business users the ability to access relevant information, perform evaluations and generate reports themselves with the help of easy-to-use BI tools.
In today’s fast-paced world with technology at our finger tips, businesses often need to have real time access to their insights and reporting without waiting for a consultant to produce a report. The purpose of self-service analytics is to enable business users to perform day-to-day reporting themselves, freeing up time for data scientists to work on more strategic initiatives.
Effective information management is vital for effective self-service analytics, as it helps ensure data is accurate, aligned with business objectives and used to drive better business decisions. A few ways for businesses to manage their own data include visualizing the reuse and storage of data and centralizing the management of the information. With a smaller, centralized footprint, businesses dramatically improve data management in three key areas:
- Less time required for processing
- Improved security since the management is centralized, even with distributed access
- More accurate results and insights
Feeling like this is a lot to get started with? We’re here to help. At Reliable Software, we develop strategy, set up tools, train users and manage the flow of data for companies to make a quick transition for managing and running their own reports. Check out our services section for more information.
Interested in learning more about self-service analytics? Reliable can provide tools, counsel and so much more to help you take advantage of all of these benefits. Contact us today to learn more.
