As data volumes continue to grow, how can the capital markets industry make the healthy move from a focus on speed to a focus on smarts? Industry veteran, David M. Wallace, offers three tips.
You have Hadoop questions, and we have answers. How do you prepare data for Hadoop? How does Hadoop impact visualization and other kinds of analysis? What kind of analytical techniques are available to analyze Hadoop data? How do I use Hadoop with in-memory processing? Find the answers you're looking for to these and other questions in this new TDWI Checklist Report.
Tom Davenport talked to analysts and executives at 50 large companies about their use of big data. What he found might surprise you. Many large companies have moved beyond the experimental phase to find real cost redctions and faster access to information from big data analytics. While some challenges remain, Davenport's research shows primarily that the time for questioning big data’s business value has passed.
Modernization is not just about systems and technology. In fact, technology changes can seem easy when compared with cultural change. Learn how to evolve your mindsets and leverage your data sets to accelerate knowledge throughout the organization.
More data is not always better. In this blog post, our revenue management and hospitality industry expert explains how to identify new data sources, how to evaluate the business value of those sources and how to apply advanced analytics responsibly to new data sources.
Connecting our cars, homes, gadgets and machines to the Internet creates a network of connected objects called the Internet of Things. How can the data streaming to and from these objects be understood to benefit your organization, improve your daily routine or address society’s biggest challenges? Find out now.
According to our panel of executives, big data can help you deliver new services and faster answers. In this article, we'll outline five broad ways that big data analytics is being used to meet business goals. And we include examples from organizations who are already seeing results.
When Consultant Eric Brown can't get colleagues to buy into the concept of big data, he asks them about unstructured data. Dispersed across the organization in e-mails, Web sites and social media feeds, unstructured data requires a very different approach than structured data.
Streaming data from automobiles, medical devices, location apps and other "things" lives at the edge of the network, where it can be used to monitor existing conditions and evaluate future scenarios. Learn how organizations in multiple industries are finding opportunity in analyzing this data from the Internet of Things.
Immerse yourself in big data with virtual reality headsets and "data worlds" derived from your organization's data. Is this vision close at hand or a science fiction fantasy? Michael Thomas, a Software Architect in the SAS R&D Technology Office, explains how technologies are converging to put big data in your face.
If you've been ignoring the Hadoop hype because you don't have big data, it's time to pay attention. Hadoop can help with data staging, data processing and data archiving regardless of the size of your data. Director of Emerging Technologies Tamara Dull explains in detail.
Have you recently embraced all things big data? Or maybe you're still trying to determine if the big data trend is based in reality. Find out what the real big data experts have been doing for the last decade. And learn what they're doing now with data virtualization.
From low-cost storage to distributed processing, Hadoop offers many promises. But there’s an expanding analytics ecosystem evolving around this big data platform that’s worth some study. Read our checklist and make sure you’re not overlooking anything important in your rush to get value from Hadoop.
Google Flu Trends was designed to pinpoint flu outbreaks by analyzing search data for flu-related keywords. After its initial success, the system's accuracy in predicting outbreaks declined. Some say the results are a "big data" failure. We say, the results provide three important lessons that everyone should know about big data.
While executives determine big data strategies, everyone's asking: Who's best positioned to lead big data initiatives in the organization? Make sure it's somebody who knows what data is being collected, understands how data flows throughout the organization and has the skills to bring together fragmented departments, says SAS CIO Keith Collins.
The big data revolution is not restricted to the industrialized world. Mobile phones are used daily across the developing world. And the number of people using social technologies is growing in developing countries too. In this timely article, you'll learn how private and public organizations are using that online and mobile data to make the world a better place.
Are you dealing with constant streams of data from social media, smart meters or sensors? Do you store it now and analyze it later? Or is there a better way? With event stream processing, you can analyze fast moving data streams on the fly. Learn how in three simple steps.
The best way to approach big data? With a combination of technology and skills, including statistical techniques, applied mathematical methods, advanced machine learning algorithms, data visualization, business knowledge and communication.
Go behind the scenes at more than 20 large companies to discover how they’re using big data. What’s working for them? What isn’t? And, perhaps most important, what can we learn from their experiences? Thought leaders Jill Dyché and Tom Davenport delve deep into the corporate world to get the insider scoop on the industry’s hottest big data initiatives.
We all know big data has a place in the board room, but the basketball court? It’s true, according to this interview with Orlando Magic CEO Alex Martins. Learn how big data affects the players, the fans – and the game itself.
Find out what TDWI learned in a recent survey on managing big data. And discover how you can apply the findings to evaluate and deploy data visualization, visual analytics and data discovery technologies to improve decision making and collaboration.
The Centre for Economics and Business Research (CEBR) conducted two studies into the value of big data – perhaps the only studies of their kind to date. Graham Brough, CEO of CEBR, discusses the organization’s forecasts and ways to get the most of your data in the future.
Looking to improve the way you market to and communicate with customers? Join discussions about customer-related business issues – from multilevel marketing to social media campaigns.
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