RESEARCH & RESOURCES

TDWI White Paper Library

TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.


diwo white paper cover

diwo General Overview

diwo is designed to reveal business opportunities in real time as it continuously analyzes multiple incoming data streams.


diwo white paper cover

diwo Cognitive Approach: High Level Overview

This document provides an overview of data management and data science within diwo, how it interacts with data and generates cognitive insights within existing Resilient Actor-based ecosystem as a microservices architecture to achieve minimal data redundancy and high speed data movement.


diwo white paper cover

diwo Product Strategy and Roadmap: High-Level Overview

A participatory architecture is central to the evolution of diwo.


SAP white paper

Getting the Modern Analytics Platform Right

In this white paper, we will explore a few of the challenges of the traditional analytics platform and the risks of not modernizing, recommend what to look for in a solution that eliminates those challenges, and show you how some companies are using modern analytics platforms to succeed.


SAP white paper

Improving Business Performance By Closing BI Maturity Gaps With Hybrid Cloud Deployments

Download this white paper for the complete findings from a Forrester study evaluating the factors driving analytics/BI maturity, particularly in relation to cloud capabilities.


white paper Incorta

4 Common Mistakes to Avoid When Optimizing Your Data Warehouse

Work within the data warehouse's inherent limitations—not against them.


Qlik white paper cover

Big Data, Big Insights, Big Impact: 8 Tales of Business Transformation

Collecting "big data" was once big news. However, companies are realizing that big data projects aren't delivering their expected ROI because building a repository is just part of the equation.


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