We're committed to creating a data-literate world that can transform business and improve society. As part of that vision, we want to share our six-step approach to developing a dynamic data literacy program across your organization.
When you’re using analytics to transform your organization, data governance is essential—but lock-down is a problem. How can you strike a balance between accessibility and trust? With data intelligence software, which helps you take a holistic approach that combines technology and organizational processes.
Failing to take a holistic approach to your data pipeline may cause you to make critical business decisions based on inaccurate data.
In this book, we look at the key trends driving the modernization of data infrastructure.
Companies today are asked to manage the dual challenge of exponential data growth and increased regulation or face fines and long-term damage to their brands.
While everyone has a slightly different definition of big data, Hadoop is usually the first technology that comes to mind in big data discussions.
When selecting a business analytics platform, it is critical to assess the underlying architecture of the platform.
Implementing an analytics platform has shown great promise in growing the strategic value of analytics and in fostering innovation.
Next-generation storage systems leverage the power of metadata to better identify, utilize, protect, and control unstructured business data.
With a few clever steps in technology architecture, organizations can deliver timely, essential data to business analysts, BI teams, and data scientists.
If you want to compete in the digital world, you have to find ways to reinvent every aspect of your business. To do that, you need an analytics strategy that gives everyone in your workforce the power to make game-changing discoveries.
This e-book is full of resources to help you launch successful data analytics projects, improve data prep, and go beyond conventional data governance.
In business, foresight is everything. This guide will help you navigate the modern predictive analytics landscape.
Download this e-book to discover the right path to big data success for your business.
In this paper, we examine the hidden costs for modern data protection and recovery operations.
IT must efficiently meet modern data protection service levels as organizations undergo transformation and modernization efforts.
For quite some time, AI has had an allure for improving processes, raising productivity and making both top- and bottom-line impacts on organizations. Advances in data and analytics have enabled early adopters of AI globally across industries to grow beyond experiments and quick hits and provide examples for paths to success with AI.
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value?
This TDWI Best Practices Report focuses on the emerging world of BI and analytics in the age of AI and big data. The research explores organizations’ satisfaction with current technologies and the issues driving interest in newer solutions that enable organizations to exploit advances in AI and big data.
Learn about the benefits of design once, deploy anywhere systems and explore three real-world examples of how organizations today are leveraging mainframe data in the cloud.
Explore these four steps to learn how to build a modern data architecture with legacy data today.
In data visualization, flow is crucial. Your audience should smoothly absorb and use the information in a dashboard without distractions or turbulence. Lack of flow means lack of communication, which means failure.
In this whitepaper, we’ll look at what ratings from G2 Crowd really mean and highlight some critical factors when choosing your embedded business intelligence solution.
The machine learning data catalog has emerged as a key technology enabler for a "single source of reference" -- one place for anyone within the organization to find curated data, understand how that data has been used and why it was created, and trust that it is right for the analysis at hand, whether they are a data scientist, an analyst, or even a casual business consumer of data.
How to find the right data catalog
The crushing problem of managing data in an increasingly complex, hybrid, distributed world is too great for even highly-skilled analysts and scientists to handle alone.
Download this white paper to learn how you can access and trust all your data in the face of changing technology.
To learn how organizations are creating enterprise data marketplaces, overcoming their IT challenges, driving key strategies forward and realizing business value, download this eBook!
Armed with the knowledge of what each embedded solution can do for your product, you will be able to make the best decision for your business.
Exploring the rise of artificial intelligence, Harvard Business Review has published a collection of articles assessing the opportunities and pitfalls that could evolve.
Research from Forrester shows 12 AI-enabled use cases to help you prioritize CX investments for increased business impact.
Without data literacy, leaders can’t thrive in today’s analytics economy nor can they drive any sort of cultural change toward leading with data across their organizations. Get key insights and frameworks on building a blueprint to driving data literacy in your organization.
In this evaluation of multimodal predictive analytics and machine learning (PAML) providers, Forrester Research identified the 13 most significant ones and researched, analyzed, and scored them.
Successfully managing a data center today requires operators to implement infrastructures that integrate with cloud, modern protection, AI, and automation.
In this IDC MarketScape, IDC assesses the present commercial OBS supplier landscape.
Data growth will continue for the foreseeable future. Thus, the need to intelligently govern data will only increase
From Hadoop and Spark to NoSQL and analytics databases, Pentaho allows you to turn big data into big insights.
With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning—as well as deep learning, natural language processing, and cognitive computing—are driving innovations in identifying images, personalizing customer experiences, navigating self-driving cars, and much more.
If you’ve ever shopped on Amazon, Pandora, or Netflix, you’ve experienced recommendation systems in action. Learn how these sophisticated systems analyze historical buying behavior and make recommendations in real time, while you’re shopping.
Data is at a crossroads. Massive corporations are consolidating our data while many of us advocate for transparency and access for all. It’s time to embrace postmodern analytics for even better performance, deeper insights, and broader participation.
ESG recently completed testing of IBM Watson Studio and Watson Machine Learning, which are designed to enable organizations to accelerate the value they can extract from AI more easily.
The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights.
In this e-book, you’ll meet fellow CIOs and technology innovators, and you’ll see how organizations of all sizes encounter many of the same daily challenges.
Machine learning in the last few decades has given way to an AI revolution. As the amount of data produced continues to scale, use of algorithms enables faster computational understanding to create new opportunities for innovation. From self-driving cars to virtual assistants, the possibilities for these developing technologies are endless.
For large organizations with big development teams, DataOps is an antidote to many of the woes that beset IT and development organizations
Read about big data use cases generating business results for companies today and emerging use cases expected in the near future.
With the right technology in place, data governance can drive enormous business value and support digital transformation.
Here are seven ways leading Finance departments are driving return on investment with Tableau.