increase user adoption of business intelligence software

5 BI Strategies to Increase User Adoption

By | Self-service BI
Not all Business Intelligence platforms are created equal. Some are designed with the data professional in mind and offer powerful and robust features predicated on an advanced knowledge of data science. Other BI tools focus on empowering the non-technical user and provide self-service reporting and analytics in a code-free, drag-and-drop UI. And some are flexible enough to empower both types of users.

But for all the different kinds of Business Intelligence solutions, there’s one thing they all have in common: user adoption remains low, hovering around 30%. Read More

Make Data Analytics Fast or User Adoption Suffers

By | Industry Trends | No Comments
Wayne Eckerson speaks at the 2017 Izenda Embedded BI User ConferenceDo you know that 90 percent of end users won’t use a self-service analytics solution if it’s not as fast as Google? They don’t have a big attention span. Google trained them to expect data called from around the world instantly, according to Wayne Eckerson.

An analytics solution needs to deliver data in real time without lagging or user adoption will suffer.

Wayne told software product teams at the Izenda Embedded BI User Conference that the hardest thing to get people to do is to change. By delivering BI and analytics, a software company becomes a change agent. When you introduce something new, a few folks greet it with open arms. The bulk of people will, as good corporate citizens, eventually come on board. Read More

How To Get Users To Adopt Self-Service Analytics

By | Self-Service Analytics | No Comments
Desktop with Izenda DashboardA subset of your application’s users – call them analysts, power users or techies – will immediately grasp the value of ad hoc analytics and make it useful for their reporting needs. This may be the top 20% of end users if you’re lucky. But there will always be a larger population of casual end users who also need ad hoc reporting. You cannot ignore their needs and expect them to see self-service analytics as a valuable element of your application. So the question becomes when launching self-service analytics in your application, how do you get these users on board? Read More