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How Can You Make the Switch from Embedded Analytics to Insights Delivery?

Written by Roman Stanek  | 

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How Can You Make the Switch from Embedded Analytics to Insights Delivery?

Part Three

We’ve covered the difference between traditional BI and embedded analytics, and we’ve also explored the benefit that insights delivery offers over other analytics technologies, like making it easier to bridge the gap between insight and action. This all begs the question: How can you make the switch from embedded analytics to insights delivery? Or even from traditional BI to insights delivery?

Decide if you want to build or buy

First, you may be tempted to get started by asking your data team to build an insights delivery application, but this generally doesn’t work out. In fact, our Director of Product Marketing recently explained why this strategy so often fails, namely that building an application is an enormous undertaking best handled by an entirely separate team from the team that handles all of your internal data work on a day-to-day basis. We’ve found that most companies that are looking to implement a solution as robust as insights delivery prefer to turn to an analytics provider.

Realize that your data needs to be in order

I wrote previously about the importance of a data foundation for AI, and insights delivery is no different. For insights delivery to work as it’s been promised to, your data needs to be top-notch. If your data hasn’t been cleansed or if it’s inaccurate, then you won’t realize the full value that insights delivery can offer. So while you’re looking for a vendor, take the time to conduct an appraisal of your data and see where there’s room for improvement before it comes time to implement your insights delivery system.

Consider whether your vendor offers true insights delivery

When you’re looking for an analytics provider, ask yourself if the vendor you’re looking to partner with offers true insights delivery versus static dashboards, even if they are embedded and personalized. They may provide you with all the data you need, but consider whether it’s raw or too much data that is delivered in a format that puts too much of the burden of interpretation on the user. People want to be presented with information and then provided with recommendations to make it as easy as possible for them to move forward. The goal should be a solution that streamlines every part of the decision-making process for the user without unnecessarily complicating it.

Understand that the transition to insights delivery is also cultural

When you’re ready to actually make the transition to insights delivery, you might find yourself encountering some confusion. After all, insights delivery is a pretty significant step up from embedded analytics, and it introduces both new capabilities and new ways of working. Those users who have grown accustomed to doing the extra legwork required before might be hesitant to abandon those steps, or some users may struggle to grasp how the insights were actually created. To get ahead of these concerns, start thinking about the cultural shift as soon as possible. Develop training plans, send out communications, and collect questions or feedback from users. Make them part of the transition so that they have a better understanding of insights delivery and so that you achieve better adoption rates. And once your users start to successfully use insights delivery, you’ll likely think of new ways you want to use this enormously powerful technology. For that reason, make sure that the vendor you work with is able to grow and evolve with you to meet your users’ and your customers’ needs.

When it comes down to it, insights delivery is a new, better way to take advantage of your data and support today’s critical business decisions. Implementing successfully requires building the right foundation and finding the right partner for your efforts.

Written by Roman Stanek  | 

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