Organizations today are collecting tremendous volumes of data, generated by a wide variety of sources, often at extreme velocities. This is “big data”—the millions of stock trades, call detail records (CDRs), social media posts and patient test results produced every single day. Leading organizations in many industries are adopting advanced technologies to generate new, actionable insights from big data that can help them dramatically reduce financial risks, increase operational efficiencies, enhance customer loyalty and improve healthcare outcomes.
White Papers & Reports
As consumers spread their attention across a wide variety of channels and devices, key sources of digital data such as websites, online ads and mobile apps, spin off massive amounts of data. This is the gold that all marketers seek to mine, refine and use to drive up the bottom line. IBM teamed with Semphonic to create a white paper that provide enterprise marketing and IT organizations with a well-defined framework for choosing a marketing digital technology stack.
Dr. Barry Devlin, a data management authority and founder of 9sight Consulting, published a new white paper on big data titled “The Big Data Zoo: Taming the Beasts.” The paper provides a colorful and thought-provoking look at big data using animal analogies such as elephants, eagles and reptiles to illustrate the challenges posed by this new “wild” data.
For the past few years, healthcare transformation discussions have centered around EMR adoption, data exchange and interoperability. As we conquer EMR adoption and begin to see the fruits of data exchange (albeit slowly), the conversation swings to analytics to inform and transform clinical and business processes. Big data analytics can provide new insights from the growing volumes and sources of data, and answers business, operational and clinical questions in near real time.
It is no secret that healthcare worldwide is in crisis - high costs, poor or inconsistent quality, and inaccessibility are potentially catastrophic. For example, Healthcare in Ontario is expected to account for 50% of government spending by 2011. And in China, 39% of the rural population and 36% of the urban population cannot afford professional medical treatment. While there is no limit to the amount of data continuously being generated in provider organizations, what they lack is a way to analyze, correlate and fuse these different types of data in real time - which in many cases could be the difference between life and death for patients they serve.
Big data is going to change the way you do things in the future, how you gain insight, and make decisions (the change isn’t going to be a replacement, rather a synergy and extension). This book will help you get up to speed quickly on this technology and to show you the unique things IBM is doing to turn the freely available open source big data technology into a big data platform; there’s a major difference and the platform is comprised of leveraging the open source technologies (and never forking it) and marrying that to enterprise capabilities provided by a technology leader that understands the benefits a platform can provide.
This paper, sponsored by IBM, looks at new developments in business analytics and discusses the benefits analyzing big data bring to the business. It also examines different types of big data workloads and offers suggestions on how to optimize systems to handle different workloads and integrate them into a single infrastructure for making smarter and faster business decisions.
Utility companies are facing a step change in the industry from many factors at once: social and political pressures on generation, increasing data volumes from smart grid and advanced meter infrastructure (AMI) technologies and sweeping regulatory changes amongst. Evolving technology in the utilities space has generated unprecedented data volume and complexity which will continue to grow as the industry continues to transform and evolve.
This Forrester Report highlights the importance and challenges of big data for organizations, the key role business decision makers must play in leading big data initiatives, and best practices for organizations seeking to leverage big data for improved customer engagement. Vendor strategists can use this report to better understand big data demand drivers and likely adoption patterns.
According to TDWI survey data, a new flood of user organizations is currently commencing or expanding solutions for analytics with big data. The purpose of this report is to accelerate users’ understanding of the many new tools and techniques that have emerged for analytics with big data in recent years. It will also help readers map newly available options to realworld use cases.