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.
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.