This document is intended to help product leaders cover all the bases during their embedded analytics evaluation and evaluation guidelines are categorized into 6 areas.

Go through this data management guide about eight essential checklists for managing the analytic data pipeline to ensure your data is analytics-ready when business users need it.

Big data has the potential to solve big problems and create transformational business benefits. While a whole ecosystem of tools has sprung up around Hadoop to handle and analyze data, many only address part of a larger process.

Read this quickstart guide to find out the best ways to visualize your data, plan your dashboards, and meet your audience's needs.

Go through this whitepaper to know about the blueprints for big data success and learn how to succeed with four common big data scenarios: data warehouse optimization, streamlined data refinery, customer 360-degree view and monetize my data.

Read this whitepaper to know how organizations can benefit from a Streamlined Data Refinery Architecture, which represents a flexible way to automate delivery of information to large numbers of users for a variety of big data analytics purposes.