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Apr 1st, 2015

Analysts have regularly said that the ceiling for BI adoption is 30%. However, we found that only 22% of business users have and use self-service analytics tools. This 8% gap is an opportunity for more end users to make data-driven decisions. And who knows, maybe by delivering the right type of self-service tools to the right users, you may go well beyond the “ceiling” of adoption.

How can you get there? Here are a few tips for driving user adoption:

Balance the need for governance with the need for speed. For instance, visual discovery tools for key, trusted analysts produces the highest speed, and least governed data delivery. As your requirements stabilize, you can build in governance required for broader distribution.

Make it pervasive: Drive analytics to where your users are. Some users will want stand-alone specialist tools, but many will prefer analytics embedded within the applications they use every day, or analytics

Mar 31st, 2015

Agile software development has seen a lot of success, but applying Agile to BI has been a struggle. This is also one of the key reasons that organizations have not been able to address the continuum of self-service needs.

With the right set of tools in place, you’ll want to adapt your processes to adopt key Agile practices to make your organization more effective at all aspects of BI.

Tools and process should mirror. Agile focuses on a high-level of business user involvement, and iterative communication of requirements. For instance, data discovery is your R&D / Rapid Prototyping, and can drive requirements for managed reporting. Guided Self-Service provide input for refining existing requirements. And managed reporting becomes the highly scalable, fully validated releases of those requirements. This approach enables you to avoid the implicit water-fall of traditional BI and respond more rapidly to changing requirements.

Engage key

Mar 30th, 2015

We believe one of the main reasons that self-service tools have yet to be widely adopted within organizations, is that the most of the self-service tools on the market today are aimed at one type of person, typically either an IT technologist or a sophisticated data analyst.

However, that one-size-fits-all approach doesn’t satisfy the unique needs and skill sets of business users who are also looking to leverage self-service analytics.

Here are a few best practices for helping you determine what type of self-service tools your users need:

Define the Personas: It’s important to understand how your end users use data and what their decision environment looks like. Some users are “Consumers” and want to view static reports, while others, like “Creators,” may want to supplement existing dashboards and reports with their own metrics and measures. Then you have the power “Analysts” who want a self-directed experience. Once you determine which

Mar 27th, 2015

One thing that we hear consistently in our conversations with companies is that everyone, including both IT and business users, wants self-service analytics. Businesses are looking to become more data-driven, and users want to be able to analyze data without having to constantly rely on IT.

In fact, findings from our 2014 State of Self-Service Report, found 93% of business users want access to self-service tools. However, organizations face the challenge of trying to balance end users’ ever-changing analytics needs with IT governance.

Next week, Logi will be speaking at the Gartner BI and Analytics Summit in Las Vegas about this very topic. The session, titled “The Broken Promise of Self-Service,” will help attendees understand where their end users fall on the Continuum of Self-Service and provide actionable recommendations for delivering the right tools to match their