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.
MicroStrategy commissioned Forrester Consulting to examine the potential ROI enterprises may realize by deploying the MicroStrategy platform.
As concerns and uncertainties around transitioning to the cloud disappear, organizations are prioritizing the business initiatives that can benefit most from a cloud deployment.
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.