Recommendations Are the New Dashboards | MicroStrategy
BI Trends

Recommendations Are the New Dashboards

Move over, dashboards! AI-powered improvements will revolutionize dashboarding and BI.

With the growth of business intelligence, dashboards have become pervasive. We see them in every enterprise, on websites, and even making the occasional cameo in movies. However, the day of the dashboard as a static, stand-alone technology is quickly coming to an end. Yesterday’s dashboards are being upgraded with artificial intelligence that transform them into dynamic tools—they use AI-powered recommendations to ensure that the data being delivered is relevant and actionable.

Recommendations Are Already Pervasive

Recommendations are already pervasive in our everyday lives—impacting everything from the way we select a movie to what gadgets we buy online. Netflix uses a complex machine learning algorithm to recommend new shows and movies based on user demographics and previously watched content. Travel apps like Hopper and Travelocity recommend the best time to purchase flights for the lowest fare.

As this type of recommendation becomes more and more common, businesses are adopting AI-driven recommendations internally too. NBC uses algorithms to recommend not only which ads to show customers, but where to place them on a webpage. Another example of this type of enterprise recommendation is IBM’s Watson Marketing, which can use consumer demographic and social behavior data to recommend customer outreach programs for marketing departments.

Recommendations in BI?

Aside from machine learning applications, what can recommendations do for BI? It can speed up the process of finding insights and make creating dashboards and charts more accessible to business users of all skillsets. For example, recommendations implemented in a dashboard could immediately analyze the data and suggest suitable charts for visualizing important KPIs, all with zero clicks.

Natural language processing, which MicroStrategy has integrated into its platform, can also be used to create recommendations. With natural language querying, users can ask questions about their data in dossiers and receive answers in the form of new visualizations.

Analysts can also quickly gain insights through dossier recommendations, which recommend dossiers from other users within an organization who have used similar metrics and attributes in their dashboards.

With the Enterprise Semantic Graph, an evolution of the metadata layer central to the MicroStrategy platform, recommendations will be supercharged by MicroStrategy 2019’s unique combination of metadata, telemetry, and inference, providing even more fine-tuned dossier recommendations.

Ready to get started with these innovative capabilities? Check out MicroStrategy Desktop today.

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