A modern analytics platform (MAP) is the culmination of almost 30 years of evolution in the business intelligence (BI) tools market. It is a proverbial one-stop shop that supports all modes of BI and all types of business users. But more than just a collection of tools, functions, and features, a MAP balances the trade-offs between different modes of BI and, like a good marriage counselor, provides a bridge between them. 

For instance, a MAP supports both top-down and bottom-up BI that marries the worlds of self-service and governance in a single platform, using permissions, virtual workspaces, and promotion pathways. It also marries formal and ad hoc design methods by providing a rich development environment for IT and business developers as well as a canvas for power users to create data mashups and self-service reports and visualizations. Finally, it provides an adaptable data architecture that delivers both scalability and performance to support many workloads and use cases. 

A MAP is designed from the ground up to run on modern computing platforms: namely, the Web, cloud, and mobile devices. It also uses microservices and an open, feature-rich application programming interface (API) that empowers a community of developers to create an ecosystem of third-party add-ons, extensions, and utilities that enrich the MAP well beyond the resources and imagination of the platform vendor. 

In short, a MAP is BI for the modern world. At a time when extraordinary gains in computer processing have transformed every facet of our personal and professional lives, a MAP applies the same power and vision to improving the way individuals and organizations turn data into insights and action. 

Readers Will Learn: 

• Spectrum of capabilities that organizations need, in order to achieve their analytical goals
• What a modern analytic platform is and how it differs from prior generations of BI tools
• How a modern analytic platform is designed for openness, extensibility, and integration
• The design principles required to build a modern analytic platform
• How companies are building rich, custom analytic applications using these platforms

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