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.

While APM solutions have been mitigating poor user experiences since the early 90s, only recently have these tools begun to deliver on the promise of proactively identifying and diagnosing performance issues before users are impacted-but they are still far from perfect. For starters, why the lack of unified functionality? Why do we still need multiple tools in order to deliver a single APM solution? Or do we?

This e-book examines all the features of the API platform for digital business, from designing and publishing APIs for developers to API traffic management, security, and analytics. It also covers different consumption models and how to monetize APIs.

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.