Download this white paper for six simple yet highly effective steps for preventing and fixing bad data.
Download this white paper to find out what every successful master data management initiative needs.
Download this white paper for an exploration of the technical challenges that hinder big data success and what you need to succeed.
How do you achieve true data quality? Become proactive.
Learn how advanced technologies enable proactive management of machines, equipment, and other assets.
Should healthcare organizations rely on electronic health record (EHR) vendors for enterprise data management, reporting, and analytics solutions?
This white paper highlights advanced data mastering solutions supporting enterprise-scale data governance within hospitals and health networks.
This paper will help you define a data strategy of your own, tailored to your organization, based on key considerations derived from our experience with tens of thousands of customers.
Mainframe FOCUS leverages the system z Integrated Information Processor (zIIP) engine.
This paper is written for IT and business intelligence decision makers to understand what differentiates Tableau from other analytics solutions in the market.
This report outlines seven key attributes of the modern approach to business intelligence that will help you quickly see, understand, and share analytics.
Self-service analytics can yield huge business and employee dividends while protecting data assets and providing the “best” source of truth out to the enterprise. New approaches demand a new methodology.
Let’s consider the risk of data in transit—and hatch a plan for it.
Achieving compliance with California Consumer Privacy Act (CCPA) is a multifaceted undertaking that requires organization-wide collaboration to address policies, technologies, and human practices associated with the management of personal data.
Reforming daily operations by radically rethinking traditional data warehouse and database processing approaches can lead to competitive differentiation, better innovation, and cost efficiencies.
The first Oracle Enterprise Analytics Benchmark Report offers a look at what business leaders need to know to optimize their analytics solutions for maximizing business performance.
This study examines Enterprise Readiness for AI through interviews with representatives from businesses across EMEA and from a wide range of industry sectors.
This paper introduces key machine learning concepts and describes solutions that enable data scientists and other analytical professionals to perform machine learning at scale.
This e-book explores the current boundaries of AI, as well as the many ways that modern AI applications can enable us to make better, faster decisions.
This paper outlines the SAS approach to AI and explains key concepts.
In this TDWI Best Practices Report, author Fern Halper explores how organizations are integrating these innovation advancements into their operations.
The move by IBM to discontinue support for the Netezza product line has IBM customers facing a hard choice.
Five steps to getting more value from your data and analytics investments.
Download this e-book to learn how businesses in multiple industries are integrating disparate code and information to deploy models and deliver critical results with analytics.
How a unifying platform can bring together diverse data and analytics to drive measurable value for your organization.
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value.
Find out what text analytics can do for an organization and the top three things people need to know when adopting text analytics.
In the Harvard Business Review webinar summary, Dr. Tom Redman explains that to derive the maximum benefit from data assets, employees throughout the organization must build data skills.
Information Builders helps customers achieve success with embedded business intelligence (BI) by offering a powerful platform that keeps BI and analytics capabilities up-to-date with minimal cost, risk, and time.
In this paper we will explore how Tableau can help with all stages of an analytics project.
Every day millions of finance professionals extract data from different platforms and reporting systems into spreadsheets to ask and answer thousands of questions. The primary hardship with this ingrained manual routine is, of course, time.
Instead of letting nefarious characters own these concepts, use them to identify and fight back against fraud.
Salesforce is one of the most widely used customer relationship management tools in business today, and the data collected with it is vital to decision making throughout every sales organization. Utilize these 5 tips for boosting your pipeline with Salesforce data.
With new marketing channels and technologies popping up every day, marketers must adapt and evolve their analytics strategies, skills, and solutions to survive.
While Excel comes equipped with many features that help you get started with data, Tableau takes your analysis to the next level with flexible and responsive analytics.
For many, Excel is the go-to analysis tool of choice. But as useful as it can be, it just can’t do it all.
Data exploration usually starts with a question. But the answer to that question doesn’t need to be the end of the journey.
Data enables many types of business opportunities unimaginable even a few years ago—from predictive analytics to artificial intelligence to the Internet of Things. There are a variety of tools, platforms, and frameworks now available to enterprises to better manage their data.
Not all BI platforms are created equal—and to succeed in the digital era, you need an analytics solution that gives your business every possible route to transformation. In this guide, you’ll learn which capabilities to look for, which features to prioritize, and all the right questions to ask.
The invention of data warehouse automation (DWA) as a technology category was inevitable. And it was invented in a real sense: the first DWA tools evolved to address gaps in the development, deployment, and maintenance of data warehouse systems. But just as the role of the data warehouse has changed, so, too, has that of the DWA tool sets that evolved to support it.
Visual analytics can be the key to transforming your business. But how do you make the leap from data to decision-making? Learn how in three short chapters and 10 key data analytics takeaways. See how a modern data analytics platform is different and how it can provide exciting—and unexpected—insights for your business. Download the Dummies Guide to uncover the power of smarter insight.
In this eBook, you’ll learn why the standard apples-to-apples comparison falls short when you’re looking to upgrade your data warehouse.
This guide contains the information you’ll need to understand and succeed with modern cloud data warehousing.
This brief white paper, by leading industry analyst firm Enterprise Management Associates (EMA), provides advice on using embedded analytics to provide better strategic planning, increased visibility across your organization, and quicker time to value.
The data landscape is quickly changing as companies say goodbye to legacy solutions in favor of a more modern, cloud-based approach to business intelligence (BI) and analytics. Forty-one percent of companies are considering a move to cloud-based analytics in the next year as they look to cut costs, improve efficiency, and enable better decision making at every level of business.
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability, and cost savings. With computing power advancements and continuous growth of data, the cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that the cloud provides also creates complexity and challenges.
Here we present some suggestions for ensuring that your organization is prepared for implementing auditable and reportable compliance with the California Consumer Protection Act of 2018 (CCPA), one of the newest regulations for data protection.
The only way to meet today’s challenges is to modernize your data center because older architectures simply can’t keep pace with the rate of change.