Office Phil Whitehouse Flickr

5 big data implementation mistakes to avoid

In recent years, few terms have been as overused and misunderstood as “big data.” From making predictions about massive flu outbreaks with a Google flu trends solution, to tracking shopping trends and directing savings to customers, to making real-time trading decisions that impact companies’ and individuals’ bottom line positions — data has become the key to staying competitive in today’s global economy. To understand the industry meaning of big data, and why big data has gotten so much attention, we need to break down the aspects of the database industry that have led to some of the challenges we face when managing and analyzing data today.

big-data

5 reasons to consider adopting IMC

In-Memory Computing (IMC) is no longer limited to exotic financial and telecom applications. It’s quickly becoming a must for processing and making sense of massive amounts of data.

payment

International payments services are flocking to China

More than a few international payments services recently said China had become one of their biggest markets, as an increasing number of Chinese Internet/mobile companies are actively expanding overseas.

Offices Steve Davidson Flickr

How big data has become accessible to everyone

It’s been the narrative of technology since the wheel was invented. Something is new, exciting … and expensive. Then we find a way to mass produce it (or something similar). Processes get better, and equipment gets cheaper. Consumers save big. Then something new comes out.

Nutella Jonathan Lin Flickr

For better snacking, big data is the secret ingredient

Snacking is officially a craze. More than nine out of 10 Americans snack daily — a quarter of them three to five times every day, according to a recent Nielsen survey. But it’s not just people in the U.S. who are sneaking a bite. Snacking is now a $374 billion global industry, and it’s growing 2 percent annually.

funnel

The intelligent marketing & sales funnel: A data science makeover

Some of today’s savviest organizations are revolutionizing the way businesses interact with each other by automating the complex techniques data scientists use to extract value from big data.

Bad Data

Data: It's all about the quality

Quality data is data that is accurate, complete, effective, and supports optimal business performance. It’s also become a critical issue for business intelligence.

LinkedIn employees work at the company's Mountain View, Calif., headquarters.

Why LinkedIn's data science reorg actually makes a lot of sense

MOUNTAIN VIEW, Calif. — Yes, it’s true that some data scientists have left LinkedIn following a recent reorganization of these highly prized workers inside the company. But a few people holding these roles believe the moves have sped up decision-making, benefited the hiring process, and brought together people who perform similar functions.