Self-service analytics tools examples

Self-Service Analytics is a form of business intelligence (BI) in which line-of-business professionals are given the ability and encouraged to run queries and produce reports on their own, with minimal IT assistance. Simple-to-use BI software with basic analytic capabilities and an underlying data model that has been streamlined or scaled down for ease of understanding and straightforward data access for anyone in the corporate IT ecosystem.

Self-service analytics is becoming more popular, thanks to augmented analytics and positions like data scientists. Implementation best practices show that allowing self-service for data and analytics leaders entails much more than just providing easy-to-use resources.

NLSQL as self-service BI SaaS is a fundamental change underway in how analytics software is evaluated, purchased, and ultimately used. The days of IT-led analytics purchasing are gone, as business leaders are demanding more agile and flexible insight to speed and improve the decision-making process. Today's business environment is driving a change not only in the buying process but also in the supporting technology itself.

Tools like spreadsheets or legacy BI, as well as for analytics tools, weren't built to handle today's data and analytical needs in real-time. Self-service data analytics is changing the way organizations can operate and make decisions. It empowers front-line employees in departments such as marketing, sales, operations, emergency care and more because they understand nuances in the data and the key business challenges far better than do centralized staff who may be working on internal HR/politics challenges this month and strategic business decisions the next.

Self-Service Analytics Example for Delta Airlines