We leveraged internal expertise and frameworks which help companies who thrive with consumer intelligence to continue to innovate. We've also observed how standard use cases based on data monitoring can develop into a strategy that incorporates consumer intelligence into almost every major business decision.
Data blending and triangulation helps inform deeper insights. Analysts will partake in everything from historical trend analysis to forecasting and predictive analytics.
Dedicated analysts continuously examine consumer intelligence data. Data and insights are accessible beyond the analyst team. Some feedback is provided back to analysts on the usage of their insights
Insights inform business decisions across a range of organizational functions
They’ll use engaging storytelling in their reporting and presentations and to create digestible narratives without compromising on the complexity of the data. Working on minimizing speed to insight will help these companies level up, so data can be shared in near-real time. Advanced businesses can also benefit from implementing API integrations to get deeper insights. Data blending should be the norm and data analysts should compare data sources to gather a complete picture of their consumers.
The data insights team might even report to a dedicated Chief Insights Officer, or similar, who sits in senior management. This is a significant step up in terms of team and resourcing compared to previous stages.
There will be notable executive buy-in, which is crucial when it comes to investing in effective consumer insights data sources and analysis software. Advanced businesses should have confidence that people across the business are reading their reports, and adjust processes on a regular basis based on feedback from across teams.
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