Microsoft is attempting to break down the barriers to business intelligence with Power BI for Office 365, which is designed to let companies gain new insights by tapping both structured and unstructured and internal and external data.
For decades, IT vendors have offered small 's' solutions that were really bundles of hardware, software and services that they wanted to sell regardless of what customers actually needed. Now firms such as Dell, IBM and EMC are using analytics to help customers decide which products are best for their needs. Oracle, HP and others struggling with big 'S' solutions may get left behind.
The specialist in collecting, monitoring and analyzing big data generated by machines is now extending its capabilities to the universe of unstructured text data with Hunk, a tool that works in Hadoop.
The database specialist, which boasts data compression technology that can reduce storage footprint by up to 97 percent, upgrades its database with a host of enterprise-grade security features and search functions to help large enterprises put big data into production.
With its new Joyent Manta Storage Service, Joyent—a high-performance cloud infrastructure and big data analytics specialist—says it offers enterprises a cloud object store and data services platform for spinning up compute and analysis capabilities where data lives.
While most big data headlines focus on sentiment analysis and other marketing activities, multinational conglomerate GE sees a future in which machine-to-machine communication and big data analytics spur a wave of innovation on par with the Industrial Revolution and the Internet Revolution.
The future of IT will be systems that are intelligent enough to detect and solve problems without human interaction, CIO.com columnist Rob Enderle conjectures. This will be great for analytics but bad for security–and it may leave IT workers reaching for Valium.
The phrase 'don't boil the ocean' is often used to describe efforts to introduce IT to healthcare organizations. These 11 tips will help healthcare CIOs make incremental changes that improve business practices without panicking end users.
Big Data startups are building viable products that target real-world pain points, and most of these Big Data new ventures are well-funded with solid management teams. Here are 10 Big Data startups to watch.
Trees probably aren't the first thing you think of when someone mentions New York City, but the city has a lot of them. Pruning and maintaining them is a public safety issue, and determining how to prioritize that maintenance is no easy feat. With the help of a nonprofit organization called DataKind, the city's Parks department is leveraging big data analytics for the job.
Outlined in the Affordable Care Act, the ACO model aims to link hospitals, physician networks, acute care facilities and other organizations in an effort to provide more coordinated care that in turn reduces costs. But ACOs must address four key IT challenges before a strict government deadlines impose financial penalties.
Most analytics tools put data in an historical context. That's all well and good, but if what if you want to use past data to gauge future performance? That narrows your analytics options. These six tools will help you make practical use of your data in order to make business decisions.
In an increasingly complex IT landscape, leading CIOs seek novel ways to use big data and cloud services to improve business processes. Keeping data secure remains a challenge, though, as does finding the right people to manage it all.
The weather is good for more than just small talk, says Maryfran Johnson. It's a big business, with companies like The Weather Channel and AccuWeather selling data analytics to businesses like DHL and Sears, who use weather data to make timely decisions.
Healthcare providers are under siege by massive amounts of data. This is forcing the industry to upgrade its aging storage infrastructures, architectures and systems. Where that data is being stored may come as a surprise.
Companies of all sizes are beginning to reap the benefits of data analytics technology. If you're not up to speed yet, here are five ways that big data can benefit your business–and one precaution that may well thwart your big data plans.
The tried-and-true enterprise service bus–long the foundation of now-dated service oriented architecture deployments–is back in style thanks to the increasing need to integrate disparate applications. The secret to ESB's future success, some say, is a close tie to API management tools.
Hadoop is nearly synonymous with the analysis of big data. The Hortonworks Data Platform on Windows is significant as it means that companies lacking Linux expertise will finally be able to benefit from the big data analysis platform, which has been out of the reach of Windows shops.
Big data is poised to help marketers reach and engage customers and prospects in ways that businesses are only now starting to understand. Enterprises that don't embrace analytics may soon see embattled customers voting with their wallets.
Higher education is stepping up its efforts to teach big data analytics and business intelligence, but professors say they need businesses that depend on data to work with them to provide students with real data and real business problems to solve.
The cost of mapping an individual genome is quickly dropping. The potential benefits for improving the care individual patients as well as entire populations are immense. So, too, are the obstacles to getting all stakeholders–healthcare providers, researchers, pharmaceutical companies, insurance companies and the patients themselves–to share what they've learned.
Making use of the petabytes of patient data that healthcare organizations possess requires extracting it from legacy systems, normalizing it and then building applications that can make sense of it. That's a tall order, but the facilities that pull it off can learn a lot.
When a bad CEO goes down, the CIO often goes down with him. The way to save yourself, and your company, is to invest in the analytics technology that gives the CEO the data necessary to make smart business decisions. It doesn't hurt that it also shows why the CIO is more valuable to the CEO than other C-level executives.
Everybody knows data warehousing is big data. But when you want to understand what's really going on with your customers' social interactions, terabytes may seem small. It's a laborious process, but the insight it provides can reap big rewards.
A majority of organizations believe that big data can give them a competitive advantage, but nearly 60 percent also believe that moving from data to insight is a major challenge. Consulting firm PwC says four barriers stand between your operation and data insights.
The bigger the data the bigger the chance of mistakes or inaccuracies. In that vein, a large database used by retailers to screen people accused of stealing from employers is identifying innocent people and could result in major lawsuits, according to CIO.com blogger Constantine von Hoffman.
Traditional BI requires human input to decide what correlated factors to query. As predictive data analytics gets increasingly powerful, the algorithms do the deciding. That spells the end of BI as CIO.com columnist Bernard Golden knows it–and he doesn't feel fine about it.
IT executives are starting to realize that there's little value in big data without robust analytics systems that can crunch the numbers and give key decision makers (read: their bosses) easy-to-digest information. With so few real solutions on the market, though, this is easier said than done.
Companies that rate themselves substantially ahead of their peers in their use of data are three times more likely to rate themselves as substantially ahead in financial performance, according to findings from the Economist Intelligence Unit.
As Nationwide Children's Hospital opens a $430 million facility, the CIO for the Columbus, Ohio-based facility says her strategy focuses less on cutting-edge technology and more on improving the user experience for patients and physicians alike.
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