Follow Datanami:

Tag: Data Analytics

A Platform Approach to Data Science Operationalization

Eduardo Ariño de la Rubia has been building quantitative teams for the past two decades, and knows first-hand how hard it can be to bring data science capabilities into a production setting. He understands there are mul Read more…

Leveraging Data Science for Deeper Marketing Decision-Making

It’s no surprise that Gartner has reinforced its prediction that CMOs will outspend CIOs on IT in 2017, as marketing technology plays a critical role in top line enterprise revenue growth. As the head of marketing for Read more…

All Eyes On AI in 2017

This might be the easiest 2017 prediction to make: Artificial intelligence will continue to generate big headlines and command a considerable share of the corporate pocketbook as companies look to bolster their products Read more…

Can’t Get Satisfaction from Hadoop? Try Analytic Ops

When Mick Jagger sang that he “can’t get no satisfaction,” he could have been referring to Hadoop. A significant disconnect between big data vision and execution is leaving many people (and their organizations) uns Read more…

Birst Dishes Up Data Prep, ML Automation, and More

Groups of data scientists and regular users will be able to collaboratively prepare and share their data for analysis with the latest release of Birst's analytics platform. Version 6 of the company's suite also adds more Read more…

Data Analytics in Higher Education: A Mixed Bag

Like many companies in the United States, American universities are looking to big data to give them a competitive edge in attracting, educating, retaining, and ultimately graduating students. However, the actual applica Read more…

How Data Analytics Is Helping to Fight Human Trafficking

The scourge of human trafficking exists in every major city in the United States, where it ruins the lives of victims while enriching the traffickers. Local police often are ill-equipped to deal with sophisticated traffi Read more…

IoT May Fail Without the Design of Things

Nearly 20 years ago, I recall streaming data off of oil and gas wells in order to measure capacity, reserves, and shrink. For all intents and purposes, data was used used to manually repair a well by humans. What we call Read more…

Real Machine Intelligence Making its Way into the Enterprise

Hundreds of billions of dollars lies dormant in data. From retailers and healthcare providers to government agencies, untapped data has the ability to generate savings, drive efficiencies, and make entirely new paradigm- Read more…

Merging Big Data Analytics Into the Business Fastlane

The abundance of big new data types is creating a feeding frenzy among companies as they gorge themselves at a veritable smorgasbord of information. In every industry, entrepreneurs are trying out new ways to harness big Read more…

BI on Hadoop–What Are Your Options?

In the era of RDBMS and modern data warehouses, business intelligence was mostly a solved problem. Any reasonably advanced tool would work with any reasonable database, and the only real work was deciding what to collect Read more…

Streaming Architecture–Why Flow Instead of State?

The way that computing is done is changing dramatically.  Instead of a program with a finite input, we now have programs with infinite streams as inputs. Why does this matter, and why is the change happening now? Thi Read more…

The 10 Commandments of Business Intelligence in Big Data

Organizations today don’t use previous generation architectures to store their big data. Why would  they use previous-generation BI tools for big data analysis? When looking at BI tools for your organization, there ar Read more…

Why Spark Is Proving So Valuable for Data Science in the Enterprise

What do Bloomberg, CapitalOne, and Comcast have in common? If you said they're operationalizing data science using Apache Spark, then give yourself a gold star. These companies shared their stories of the upstart analyti Read more…

Airlines Embracing Analytics to Stave Off Disruption

Over the past five years, we've seen the incredible rise of Uber and Airbnb, two tech-savvy startups that turned the travel and hospitality industries upside down. Now airlines are starting to fight back by embracing big Read more…

What Design Thinking Means for Data and Analytics

From industry giants like IBM to startups like Airbnb, design thinking undoubtedly is top of mind for business teams. The traditional “If you build it, they will come,” mentality has been usurped by techniques like c Read more…

Big Data and the Race To Be President

The U.S. presidential election is nine months away, and the race is still wide open. Just about anything could happen between now and November 8, and probably will. But one thing is clear: The winner will have a very go Read more…

Big Data Spreading Everywhere Like Air, Deloitte Says

For some, the downward trend of the term "big data" on Web word counters and disappearance off hype curves is an indication that the phenomenon has past, that big data is now neither a problem to be solved nor an opportu Read more…

How Toyota Revamped Its Collections Biz with Big Data Analytics

Toyota wasn't the only automaker to suffer during the Great Recession. But when the volume of Toyota customers behind on car payments spiked to record levels in 2009, the company decided to overhaul its approach to colle Read more…

How a ‘Nuisance Variable’ Turned Into Potential Lifesaver

There are many rabbits to chase in the world of biomedical research—way too many for scientists to chase them all down in an orderly and methodical way. But thanks to the power of new big data techniques like topologic Read more…

Older Entries
Newer Entries
Datanami