Business Intelligence

Building the connected enterprise with business intelligence and industry analytics

Modern business analytics for data-driven enterprises

Infor Birst® connects data across the enterprise to drive smarter decision-making, while also enabling you to build scalable analytic applications for your customers. Birst’s unique approach to business intelligence and analytics helps improve profitability, reduce costs, increase revenues, and monetize data to transform how your organization works.

Unlocking opportunities for today's enterprise

Industry analytics

Take advantage of industry and role-specfic data models and analytics

Networked BI

Scale out customized analytics through multi-tenant architecture

Modern data architecture

Experience a flexible and business-centric approach to managing data

Deliver data-as-a-service (DaaS)

Make full use of enterprise data and support internal and external use cases

Adaptive user experience

Utilize all styles of business analytics from reports to data discovery

Monetize data

Share analytics with customers, partners and suppliers

infor birst

Infor industry analytics infused with artificial intelligence delivers relevant and meaningful insights for everybody from the boardroom to the shop floor. Pre-built industry and role-specific content and metrics make data and analytics easy to consume.

  • Leverage best in class pre-built industry content
  • Optimize executive dashboards for prescriptive analysis
  • Utilize intelligent drill-back with in-context insights
  • Experience an open ecosystem for democratized analytics
  • Enjoy an enterprise-wide solution for integrated data

Infor Birst OEM and embedded analytics

Give your customers smart, self-service ready, branded, and secure analytic applications with flexible deployment options that scale with your business. The Infor Birst OEM and embedded analytics platform, with patented machine learning technology, helps you create new analytic applications to monetize data faster than ever before.

  • Monetize data
  • Leverage a full-stack embedded analytics and BI platform
  • Utilize automated data refinement
  • Configure data-as-a-service (DaaS)
  • Take advantage of white labelling and powerful APIs

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