It’s a seemingly obvious but often-missed point: Different application end users will want to use embedded analytics in different ways. If you’re like most application teams, you’ll have everyone from basic users who want easy-to-use, interactive dashboards, to power users who demand sophisticated capabilities like workflow integration and operational reporting.
How can you meet the needs of every end user? When you embed self-service analytics in your application’s dashboards and reports, you empower all your end users to get the data and analytics they need—without requiring constant technical assistance.
The fact is, end users don’t want to send multiple ad-hoc reporting requests to your development team. They’re much happier when they can get the information they need on their own. Users want to do whatever they want with their data—which makes self-service analytics an important feature for any application.
The application team at Fieldology learned this firsthand when they were building a new application. They decided to engage their users by putting them in control to get the data they need, create new dashboards and reports, and explore information on their own:
“We believe that success is not about the collection of data, but how you use that data to make an impact on the bottom line. Creating portals and pre-built reports was a great start, but it soon became clear that we would need to develop more ad-hoc and self-service reporting capabilities. We needed to expand our solutions so they could be used by everyone from senior management, analysts, account teams and the field staff.”
– Paul King, Fieldology
End users aren’t the only ones who benefit from self-service analytics. Embedding self-service means reducing the backlog of custom requests for your developers and IT team. In fact, according to the 2018 State of Embedded Analytics Report, 49 percent of companies saw a drop in the number of ad-hoc requests from end users after embedding self-service analytics. Since users no longer have to come to you with every ad-hoc analytics request, it frees your application team up to focus on more important matters.
The application leaders at Signeture Solutions and Hylant were both happy with the dual benefits of self-service analytics:
“Many of my customers are business decision makers, and they don’t want to have to wait a week for IT to give them a specific chart or calculation. IT will always have its place for installation and maintenance. But now, IT can simply provide all the information to business users and allow them to make decisions independently based on what they see in the data.”
– Barry Nicolaou, Signeture Solutions
“We’ve been able to push back report requests from users to the business unit, and say ‘Hey, we gave you this data, and you can now utilize it as you see fit.’ They’re not asking for just a report. They actually have the data available to them and they can make their own correlations and build on their knowledge level.”
– Scott Lindsey, Hylant
Self-service analytics is a great way to engage end users and make your application stickier. Nearly 70 percent of application teams saw an increase in the time spent in their applications after they embedded self-service, as shown in the 2018 State of Embedded Analytics Report.
According to the team at iDfour, their users are so excited about self-service analytics they can barely even get through a demonstration:
“When we show a new customer the self-service tool, they usually want to start asking questions of their data right away – before I can even finish explaining the features. Once they see what’s possible, they want to dive in immediately.”
– Deanna Antosh, iDfour
Ready to embed self-service analytics in your application? Find out how Logi Analytics can help you engage end users and reduce the backlog of ad-hoc reporting requests. Watch a demo today >