The data value formula explains how data value can be determined and identifies three essential value drivers.
A new study from Eckerson Group finds that business monitoring tools fill a vital gap in data analysis and will soon be part of every organization’s analytics toolkit.
Proactive, continuous intelligence enables more frequent data processing to automate the monitoring of KPIs.
Learn why Cloudera Data Warehouse is named the leader in this price-performance report.
How IT can evolve from producer to enabler and foster collaboration around analytics.
Data virtualization is a modern data integration approach that is already meeting today’s challenges, providing the foundation for data integration in the future.
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.
How we got here and why we must get out now.
Learn how to establish an evaluation methodology and evaluate 5 key criteria.
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.