In the firstÂ installmentÂ of this series, I described everyday BI as a concept that surfaces everywhere in our daily lives. Next, I want to portray the essential attributes of everyday BI users in order to set the stage for our analyses and experiments in the coming posts.
First and foremost, everyday BI users are data consumers who use technology to drive insight from diverse data sources. In some cases, they generate the source data by their actions, such as accumulating purchases, signing up for subscriptions, or making inquiries. In other instances, they may not have any control over the transactions (like the stock market, weather, or other consumer data) but have an interest in monitoring these trends or developments.
But whether theyâ€™re shopping for food at the grocery store, checking on their financial interests, or searching for entertainment options, everyday BI users wantÂ insight-drivenÂ and action-ready information.
Everyday BI users:
-Run on busy schedules and time is a scarce resource
- Are heavy users of mobile technology because of its unmatched access and convenience
-Depend on cloud solutions for managing their files and purchases
-Look for bite-size information that can deliver action-ready insight
-Prefer direct and concise summaries on new topics rather than lengthy analyses
-Are technology-agnosticâ€”they care that the solution works, not about what it promises
-Love spending a minimum time on installation andÂ setupÂ with the least amount of involvement in the process
- Absorb firstÂ whatÂ happened, immediately followed by understand theÂ whyÂ it happened and learnÂ howÂ it can be prevented or improved
-Want to close the gap between whatÂ happenedÂ andÂ what is likely to happen
-Want to drill down with a single-click or tap and get to the underlying detail, which will help explain theÂ why
-Want to connect the dots and seek trends that can provide them with a different perspective on the same picture or story
-Prefer the ability to retrieve more detail to be optional, not mandatory
-Have no tolerance for any sidebar information that doesnâ€™t addÂ valueÂ to the analysis or provide new insight
-Are looking for guidance to makeÂ better-informed decisions
-Require laymanâ€™s language for all descriptions and any use of terminology
-Want a pleasant and productive user experience
Why Is This Important?
IfÂ designedÂ and delivered effectively, everyday BI can benefit everyone in itsÂ ecosystem, including
-Technology Developers: It creates opportunities to deliver new products and solutions that bring businesses and consumers closer at decision points. A closer relationship brings about new data consumption channels to engage with new and existing consumers. And engaged customers are more likely to adopt new technologies that benefit them.
-Business Providers: It creates new opportunities for creating new, or cultivating existing, relationships to drive growth and profitability. Engaged customers tend to remain active and predictable, minimizing customer churn.
-Everyday BI Consumers: Better-informed consumers tend to make better-informed decisions. And they tend to be more loyal because they depend on the benefits of these products and solutions in their daily lives.
What are some other attributes of the everyday BI user?
Stay tuned for the next installment of my Everyday BIÂ series.
If you like this blog, you may also enjoy the Mobile BI Design FrameworkÂ series.
By Kaan Turnali, from:Â http://www.the-decisionfactor.com/business-intelligence/everyday-bi-typical-user-profile/
As Global Senior Director, Business Intelligence (BI), forÂ SAPâ€™s Global Customer Operations (GCO) Reporting & Analytics Platform, Kaan Turnali is responsible for the development, oversight, and execution of strategy for the BI platform across GCOâ€™s worldwide user base. In addition, he manages special mobile BI projects for the Office of co-CEO Bill McDermott and the GCO senior management team. Prior to joining SAP in 2006, he worked as a senior BI consultant specializing in strategy, design, and development of enterprise BI solutions for SMEs and Fortune 500 companies. His background and experience in the integration of business and technology span over two decades. He is also an adjunct professor, teaching BI in the doctor of business administration program at Wilmington University.Â See Kaanâ€™s articles on EPM Channel here.