After interviewing more than 50 companies, Tom Davenport reveals the true value of big data at work.

Hype and hope — Big Data has generated a lot of both. Thanks to an abundance of enterprise information systems, networks, applications and devices that churn out huge volumes of information, government agencies are awash in Big Data. Add to this data growth the emerging trend of the Internet of Things (IoT) — the network of people, data, things and processes that is increasingly linked through automated connections and sensors — and the future of Big Data can seem quite daunting.

No matter what your initiative, accurate data is where to start if you want to make the best possible decisions. There’s certainly no lack of data. But simply having lots of data won’t necessarily help you answer big questions, understand problems or make faster, better decisions. To achieve competitive advantage, maintain profitability or satisfy customers, you must be able to act on what the data tells you.

The opportunities for the automotive industry are enormous as the number of connected vehicles is projected to outpace global population growth for the next 10 years. The data collected from these vehicles, up to 30 terabytes each day, will have wide-reaching implications for drivers and manufacturers alike.

One of the biggest challenges facing storage administrators today is balancing how much space will be required by the applications in their data centers. This 2-page white paper outlines the top 3 reasons why customers deploy VMware on EMC VNX.

Managed Data Growth eBook Discover how to manage your data growth with the new EMC eBook, Manage Data Growth. Interact with the latest facts, insights and solutions, and hear what customers and subject matter experts are saying in the fast-growing world of data. The intuitive eBook interface makes it quick and easy to navigate to and share the information, videos, whitepapers and other resources you need.

In this case study, We look at Priceline.com, one of the Internets biggest winners, that ended up redefining how people would book travel reservations. Learn how HP helped priceline accommodate year over data growth, constant availability and more.

If you’re considering a big data project, this whitepaper provides an overview of current common use cases for big data, from entry-level to more complex. You’ll get an in-depth look at some of the most common, including data warehouse optimization, streamlined data refinery, monetizing your data, and getting a 360 degree view of your customer. For each, you’ll discover why companies are investing in them, what the projects look like, and key project considerations, including tools and platforms.

This white paper covers the many options available for modernizing a data warehouse.

This White Paper discusses the challenges companies may face while moving to big data solutions such as Hadoop and/or NoSQL.

Explore this infographic and begin building a tangible plan-it could mean the difference between reacting and prospering in Big Data's shadow.

Today companies are striving to provide a more customer-centric experience. Being able to understand and predict customer behavior can help forge a lasting, profitable relationship between customers and your company.

This report: highlights the importance and challenges of Big Data, Outlines the changing role of key business decision makers in driving big data initiatives and explains how businesses can better understand their customers and unlock new revenue.

Business leaders need to be intimately involved in developing "big data" strategies for their companies. In this White Paper, we investigate several business-related strategy components that are crucial to success.

Supporting a Big-data Approach for Security Intelligence

In an IT landscape dominated by big data, mobility, social networking and cloud computing, integration will not only grow in importance, its very nature will change. This paper will discuss the 21st Century IT landscape as it relates to the new integration, and argue that the need for a comprehensive integration strategy has never been more urgent.

The vision for Celent’s Model Bank research was to try to answer an apparently simple question: “What would it look like for a bank to do everything right with today’s technology?” Of course, the question is not nearly as simple as it appears. The terms “everything” and “right” will mean very different things to different banks depending on their size, the complexity of their operations and product sets, and their technological starting points. While there is no such thing as a “Model Bank”—every bank does some things well, and others not as well when it comes to technology—it is possible to conceive of a “Model Bank” through real world examples of effective usage of technology.

Commonwealth Bank of Australia, with over 1,000 branches and 50,000 employees was using spreadsheets to staff its branch network. When they looked to desktop process analytics from Verint they achieved major improvements in productivity and customer experience. Watch this case study to learn more about how desktop process analytics can use big data to help your organization.

The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.

Despite the hype, Big Data has introduced critical challenges for modern organizations – and unprepared organizations risk getting buried beneath an avalanche of information. In this informative webcast, join industry and business intelligence (BI) expert Wayne Eckerson as he tackles the challenges of Big Data. Uncover practical tips and tactics for driving value with your Big Data platform – watch now to learn more.

Démo Data Visualization dans le domaine de la vente par Sylvain Fortier, Business Intelligence & Big Data Analytics Principal Sales Consultant d'Oracle France durant la matinée Oracle Cloud Café autour du thème de la Data Visualization et Analytics.

Démo Data Visualization dans le domaine de la vente par Sylvain Fortier, Business Intelligence & Big Data Analytics Principal Sales Consultant d'Oracle France durant la matinée Oracle Cloud Café autour du thème de la Data Visualization et Analytics.

Paris Lodron University Salzburg is the biggest educational institution in the Salzburg region of Austria. The university undertakes innovative research and sees itself as an internationally networked knowledge hub at the heart of Europe. An Oracle Exadata Database Machine was deployed for these applications in 2012. The objectives pursued at the time—uninterrupted operation, resource conservation, and reduction of the CO2 footprint—were fully achieved. Facing increasing growth and with the undertaking of specialized projects, Paris Lodron University was faced with the task of adapting its IT infrastructure to new requirements.

While some organizations are already utilizing Big Data or various large enterprise analytics techniques, many more are still working to grasp how these new usage models might help them. There’s a lot of undiscovered value in the vast amounts of data they currently have and the data that they can get from other sources. They know that they can somehow convert this data into insights that will let them ramp up efficiency and be ready for tomorrow today.

The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data—as well as collaborate to bridge the gap between business and IT.