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.
Download this white paper for the steps to find confidence in data and the distribution infrastructure that makes it available.
Read this white paper to learn five steps to adopting the modern approach to enterprise analytics.
Today, businesses of all sizes can connect to and analyze data (even big data) to educate each other and drive better business decisions.
This evaluation guide aims to support IT organizations as they evaluate and select a modern BI and analytics platform suitable for a broad, enterprisewide deployment.
Download this white paper to understand the three shifts within the modern data environment that are critical to becoming a data-driven organization.
Read this report to learn how agile data governance can be the fastest route to true, repeatable return on your data strategy investment.
This Opportunity Snapshot from Forrester Consulting explains why and how preintegrated data and analytics solutions drive business success.
Failed data migrations no longer need to be the norm.
Business leaders are increasingly focused on integrating their data management and analytics platforms to enable real-time, business-ready insights.
Explore this e-book to learn how today’s technology leaders are innovating by using the power of SAP solutions and technology.
This EMA white paper provides initial guidance on how SAP Data Warehouse Cloud aligns with market and customer expectations through empowering business professionals with insight-driven decisions.
This whitepaper describes how data virtualization can help to modernize an existing data architecture to unlock and exploit all the existing data more quickly.
A DataOps Maturity Model can be an incredibly useful tool to help organizations understand where they are today and how to get where they need to go.
An overview of Data Vault 2.0 and the importance of data automation to ensure successful project delivery.
Deliver data and analytics faster, with less cost and risk.
Getting your data preparation right is essential in order to increase the quality of your data and information.
A modern cloud data warehouse offers features and capabilities that address the flaws inherent in its traditional predecessors.
Data-driven application modernization offers capabilities and benefits to help you transform and accelerate application development and deployment.
In this e-book, we describe data lineage in detail with illustrations from several core use cases.
Reduce risk, lower costs, and realize business value faster with a stepwise approach to data-enriched AI.
With a modern cloud data lake engine, data teams can simplify their environments and get maximum value from their cloud data lake investments.
Working together, Sense Corp and Denodo enable today’s organizations to gain all of the benefits of modern data architecture.
Mainline and Denodo have partnered to combine state-of-the art professional services with the industry’s most advanced data virtualization platform to help enterprises quickly stream value to the business while transforming their data into a true competitive advantage.
Big data systems need to combine with the power of online analytical processing (OLAP) technology to make it possible to design powerful inquiries across hundreds of billions of records and myriad dimensions.
Data privacy is a global concern, and each locality has its own set of laws to protect it.
You need real-time reporting and deep business insights, so let’s explore what that means and how you can achieve it.
In this e-book, we take a brief tour of the evolution of data warehousing to understand why a modern, cloud-native strategy is an imperative in today’s hyper-competitive markets.
It’s time to remove data barriers, connect difficult-to-access information, and share it across your entire business.
Download this e-book to explore the challenges retailers face and the links between high-quality (trusted) data and sustainable competitive advantage.
Learn how to establish an evaluation methodology and evaluate 5 key criteria.
How we got here and why we must get out now.
This article explains why achieving a complete view of the customer is so difficult.
Precisely’s 2019 Enterprise Data Quality survey explores the challenges and opportunities for organizations looking to bring data quality across the enterprise.
This datasheet is your guide to the Analytics Modernization Program, providing QlikView customers insight into the drive to modernize BI by adopting Qlik Sense.
This datasheet provides a brief overview of Qlik's Analytics Modernization Program.
Delivering data and AI initiatives quickly and efficiently requires intelligent workflows and integration that enable all tools to work together seamlessly.
Adopting next generation analytics has never been easier.
High-quality data is essential for business analytics that supports decision making.
The market for data integration tools continues to evolve and is supported by strong levels of market growth and adoption.
Not all analytics platforms are created equal.
Find out what sets the top companies apart from the rest.
IBM DataStage allows you to move and transform large volumes of data at high speeds to feed data warehouses, data lakes, cloud repositories, and many other target systems.
This e-book highlights the DataOps methodology, practice, and required orchestration of people, processes, and technology to deliver trusted, high-quality data and transform business outcomes.
Explore this e-book and learn more about modernizing your data integration capabilities.
Transform and expedite decision-making: Learn how to query data easily and more securely across multiple sources, on cloud or on premises.
This collection will cover how to adopt and analyze data and use it as part of your digital transformation.
This ebook is a collection of best practices on Machine Learning in production presented during the 2020 SAS Global Forum.
Why computer vision matters to your business.
In this HBR webinar summary, Tom Davenport describes the problem, implications, and solutions to the data-driven culture issue.
Download this report to learn about the changes that leaders must prepare for to successfully implement trusted AI.
Findings from the Annual Data and Analytics Global Executive Study.
This paper explores how ModelOps can help you break that cycle by redefining how you deploy models.
Achieving faster insights can only happen if delays and bottlenecks are addressed using better practices and modern technologies
Everything you need to know about communication between humans and machine intelligence.
To relieve bottlenecks and barriers in delivery of data and analytics solutions, organizations need to change the way they work.
For enterprise organizations to remain competitive, the tools they use to find and understand their data must work together.
Insurance industry success is driven by how fast and accurately a company turns large, complex data sets into profitable business decisions.
Telecommunications companies face critical pressure points that require more data and data analytics than ever before.
Learn how to modernize your data warehouse to get the scale and speed you need to keep your customers satisfied and your business profitable.
Learn how to modernize your data warehouse and turn large, complex data sets into profitable business decisions.
Paving the route towards compliance automation for analytics and data science.
This ESG whitepaper covers the modern challenges, best practices, and the many benefits when optimization is done right.
The data integration tool market is resurging as new requirements for hybrid/intercloud integration, active metadata, and augmented data management force a rethink of existing practices.
DataOps brings best practices from DevOps, data management, and data governance into a common framework, with a collaborative way of developing and maintaining data flows across multiple stakeholders.
A DataOps practice that is fueled by the power of automation enables you to better know, trust, and use your data.
This comprehensive guide will cover the benefits of a modern data catalog, getting started with taxonomy best practices, and five use cases on implementing a data catalog.
Discover how a strong focus on data quality will help ensure trust and quality in your analytics that drive business decisions.
Data governance helps organizations focus on outcomes that are top of mind for senior leadership.
In order to successfully achieve ML at scale, firms must invest in MLOps.
In this book we explore the role that the container orchestration system Kubernetes plays in supporting MLOps.
In this e-book, you will learn how a hybrid cloud data warehouse enables a 360-degree view of the customer by enabling analysis across all business data assets regardless of their location, whether cloud or on-premises.
Learn five workflows common to all data governance programs, how trends complicate existing workflows, and how tools can help overcome complications.
Security and privacy are colliding in the cloud and creating challenges organizations have never seen.
Are you struggling with getting insights quickly from your data lake?
This checklist report focuses on six strategic issues that organizations need to address to set the stage for better data-driven decision making.
MicroStrategy has compiled insights on the top enterprise analytics trends to watch from leading BI, analytics, and digital transformation influencers.
Technology buyers should use this report to evaluate MicroStrategy HyperIntelligence for implementation.
As concerns and uncertainties around transitioning to the cloud disappear, organizations are prioritizing the business initiatives that can benefit most from a cloud deployment.
MicroStrategy commissioned Forrester Consulting to examine the potential ROI enterprises may realize by deploying the MicroStrategy platform.
This IDC Technology Spotlight highlights the value of embedding business intelligence into enterprise mobile apps.
We hope you’ll find this Q&A featuring Constellation Research Principal Analyst, Founder, and Chairman R “Ray” Wang a valuable resource for looking ahead.
MicroStrategy surveyed BI and analytics decision makers from around the world about current analytics initiatives and plans for the future.
Data and analytics leaders should begin piloting capabilities that enable the “augmented consumer.”
This report examines the evolution of embedded analytics as a route to digital transformation and emerging, data-driven business models.
This IDC Technology Spotlight examines the deployment of cloud-based BI and analytics, along with its benefits and challenges for enterprise adoption.
In the next decade, the use of mobile devices to gain intelligence will significantly change how an organization does its work.
Read this ESG Technical Validation report to learn about the cost-effective and time-saving test and development database environments that IBM provides.
Today, many organizations are launching a new attempt to implement a data lake successfully—this time leading with DataOps.
Enterprises are turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.
In this white paper from 451 Research, you’ll learn how hybrid cloud is viewed as a strategic imperative to enable enterprises to make the most efficient use of their data warehouse infrastructure.
Did your company invest heavily into your data lake, but you’re still looking for business value?
In this white paper, you’ll learn how a modern data strategy based on hybrid cloud not only supports all of today’s requirements but also provides a path to the future.
Yellowbrick Data recently surveyed 1,000 enterprise IT managers and executives to uncover their infrastructure priorities during this era of economic uncertainty and disruption.
This short whitepaper aims to provide the beginnings of a framework for operationalizing privacy by design.
An introduction to proactively addressing your privacy, security, and compliance needs—and maintaining customer loyalty.
This document will provide you with an overview of the challenges and opportunities of privacy-aware analytics.
In our 19-criterion evaluation of vendor-managed enterprise business intelligence platforms providers, we identified the 14 most significant ones and researched, analyzed, and scored them.
To lead in your market or industry, you must figure out how to extract business value from all your data and deliver it to the front lines.
Find out how eleven enterprises reduce the risk of exposing personal information, stay in compliance with data privacy regulations, and give customers peace of mind.
Download this white paper to discover what data is considered personal information and how to protect it to avoid costly fines and reputation damage.