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The Interactive Guide to Building an Insights Engine

How many valuable customer insights are getting buried in research repositories or lost in slide decks that your stakeholders glanced at once?

Insights should be a source of competitive advantage, but in too many organizations, they become an afterthought, and insights team members spend more time responding to ad hoc requests from line managers than conducting forward-looking research and making strategic business recommendations.

If this sounds like your team, it’s time to increase your visibility and impact by building an insights engine. We’re here to walk you through the technology, change management, and insights sharing best practices to get your insights engine up and running.

In this guide, we'll show you how to:

PART 1: OVERVIEW

First Things First: What Is an Insights Engine?

According to the Harvard Business Review, a company’s insights engine is embodied in its insights and analytics function. A successful insights engine is a function that doesn’t just field market research requests and supply data, but that distills insights and makes strategic recommendations.

An insights engine requires a combination of the right people, technology, and processes to increase the accessibility and visibility of insights, ultimately empowering stakeholders to make customer-centric decisions.

Because accessibility and visibility are key, one of the top priorities when building an insights engine is to centralize insights so that stakeholders can easily find and leverage them.

“Our ultimate goal as a research team is to empower stakeholders across the company to easily find research themselves. By creating an organized, well structured, self-serving repository, we hope to set up our stakeholders for success when searching for the information they need.”

-Adam Noar, Director of Market Research, Dexcom

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Next: How Does Your Insights Team Stack Up?