Big data is shaking up the foundations of business—forcing business leaders to rethink the way they make decisions. Learn IT strategies and best practices that can open the door to discoveries that will transform your business. See how Dell improve customer satisfaction, how Passoker deliver online gaming, and Delphi improve warranty response.
Big Data may indeed be a buzzword for 2013, but if so it’s a buzzword with inestimable impact on the organization. At its core, the concept of Big Data is that of supporting executive decision-making with the most accurate, current, comprehensive and comprehensible presentation of all information available regarding a business. Overwhelmingly, respondents indicated that their companies are taking Big Data seriously and 81% list “Big Data/Advanced Analytics Projects” in their Top 5 2013 IT priorities.
Enterprises of all types are betting on big data analytics to help them better understand customers, compete in the market, more rapidly discover insights to help improve products and services, and increase profits. In a recent ESG survey, two-thirds of IT and business professionals responsible for their organization’s data analytics strategies, technologies, and processes considered enhancing analytics a top-five business priority, and more than one-quarter cited enhancing analytics as their most important business priority.1 Given the high degree of interest in analytics and the vast quantity of unmined data, the first step most organizations need to take on the path towards realizing the benefits from big data analytics is to implement an appropriate infrastructure to process big data.
Unleashing the Power of Hadoop for Big Data Analytics - Data analytics, long the obscure pursuit of analysts and quants toiling in the depths of enterprises,has emerged as the must-have strategy of organizations across the globe.
It has been five years since the introduction of Hadoop as an open-source big data tool, and in this time big data has skyrocketed up the hype curve, with dedicated media coverage, books, conferences, and many customer success stories from early adopters. Though Hadoop isn’t the silver bullet to all business data challenges, it is one important piece of the puzzle.
Click streams, social media, log files—a growing mountain of valuable data looms above you. You’ve taken countless steps to capture and utilize your company’s structured data, but despite your efforts, it seems you have made no progress in the arduous trek to the summit. You know that there is a wealth of lucrative business information waiting for you at the top, but how can you possibly reach it when the mountain of data is growing before your very eyes?
Data warehousing is a success, judging by its 25 year history of use across all industries. Business intelligence met the needs it was designed for: to give non-technical people within the organization access to important, shared data. The resulting improvements in all aspects of business operations are hard to dispute when compared to the prior era of static batch reporting.
Companies have been striving to harness and leverage the power of their data assets for decades. Now major U.S. corporations and government agencies are finally realizing business value from Big Data. That is the finding of a survey and series of follow-up interviews conducted by NewVantage Partners with C-level executives and function heads representing companies and government agencies during the second half of 2012.
"Big Data " initiatives create significant opportunities for business and IT leaders, but both must come to terms with challenges they introduce. A focus on the impact of analytical outcomes in supporting material and measurable business decisions.
There is a new universe of data being created by smart meters, mobile devices, social media, RFID, web logs, and other sources. Meanwhile, many industries have only begun exiting the paper-based documentation era. It’s no longer the case that all possible insights about an organization come only from a structured data warehouse full of vetted data developed inside one’s own four walls. Embracing big data means accepting that you can gain valuable insights about your organization, your customers, and the world at large from external sources, and by looking at data in a new way.
I am pleased that NewVantage Partners conducted this survey and made the results available to me for review prior to publication. There is a lot of interest in the topic of Big Data as evidenced by the high response rate to the survey. The survey yielded some interesting findings, many of which are relevant to research I have conducted.
Financial markets are rarely predictable. What moves a price one day might have no effect the next, or it might be felt several steps away from where it’s expected. That’s where market sensing plays a role. Broadly defined, Market Sensing is the ability to bring as much relevant information as possible, to bear on trading and risk decision-making.
Why is getting value from business data still a struggle when there is more data available than ever before? Are the greater challenges with people or with the data? Can business leaders achieve better business outcomes simply by asking the right questions of the data? In fact, asking better questions can lead to deeper insight and foresight that enables better decision-making and, ultimately, better outcomes. Get the findings from a recent Oracle and Intel–sponsored study by the Economist Intelligence Unit.
Yottamine Analytics, a new machine learning innovator, announced that it has achieved unprecedented prediction speed, scale, accuracy and price-performance with its Yottamine Predictive Services (YPS) software running on a powerful Amazon Web Services (AWS) compute cluster (CC2.8xlarge). The demonstration represents the largest predictive analytics system ever created on the public cloud.
No doubt the amount of data your company collects is growing. But what’s the point of amassing all that information if you can’t use it to drive your business forward? Smart businesses are giving people throughout their organizations access to deeper intelligence by marrying their big data and business intelligence efforts into a big data solution. The result is better decisions based on meaningful insights company wide. What’s your strategy for big data analytics?
According to TDWI Research’s 2011 Big Data Analytics Survey, 33% of surveyed organizations are contemplating a replacement of their analytic databases, data warehouses, and similar platforms to keep pace with new and intensifying requirements for advanced analytics in a “big data” world. As user organizations make such platform replacements—or add additional platforms to their expanding data warehouse architectures—they are turning more and more to specialized analytic database management systems (DBMSs).
In this one-on-one interview, Rich Brueckner, President of insideHPC, discusses big data challenges and opportunities, as well as what technologies will help companies deal with their growing amounts of data. InsideHPC is a CIO Summit, CIO Cloud Summit, and CIO Life Sciences Summit event partner.