Big Data • Big Analytics • Big Insight

Tag: analytics

Businesses Are Going About Data Science Wrong–Here’s How To Get It Right

Nov 10, 2014 |

Data scientists make the bold promise of granting businesses the power to predict the future. The adoption of this relatively new job title has gained traction, as savvy companies seek to move beyond the rearview mirror of traditional business intelligence practices, and strive to implement customer segmentation, attribution models, churn analysis, and other next generation analytics. The current data scientist shortage may lead you to believe that the most difficult step is finding personnel to help your company achieve its Read more…

IBM Embraces the Twitter Fire Hose

Oct 30, 2014 |

IBM dove headfirst into the Twitter-sphere yesterday when it announced a “landmark partnership” with the social media giant. The union will see Big Blue helping its blue chip customers perform sentiment analysis upon Twitter’s fire hose, with the goal of helping them make better business decisions. The joys and fears of 300 million people are embodied within the Twitter fire hose, which streams at the rate of about 6,000 tweets per second, or 500 million messages per day. Twitter, you Read more…

Why Pay for Analytics When Open Source Is ‘Free?’

Oct 23, 2014 |

The free analytics question comes up over and over again, especially as it pertains to open source analytic offerings. I don’t think a day goes by when someone at a company doesn’t ask, “Why should I pay for analytics when I can use (fill in the blank) open source statistics/analytics?”  You will find many lengthy discussions all over the Web on just this topic.  Often the discussion is much more impassioned than it needs to be. I will address the Read more…

How Big Data Analytics Can Help Fight ISIS

Oct 14, 2014 |

The rapid rise of the terrorist group Islamic State in Iraq and Syria (ISIS) this summer grabbed the world’s attention and led to military action by the U.S. and its allies. While drones and smart bombs pick apart ISIS from the air, you can be assured that American cyber warriors and defense analysts are using big data analytic techniques to glean insights about the group as well. Of course, the intelligence gathering and cyber warfare activities undertaken by the U.S. Read more…

Top Three Things Not To Do in Excel

Oct 2, 2014 |

Let’s face it: We all have seen a crazy Microsoft Excel spreadsheet or encountered one of its dreaded “Not Responding” messages. Unfortunately, the flexibility and ease of Excel makes it the ideal candidate for inappropriate use and widespread abuse. As the most widely used analytical tool in the world, Excel has indeed come a long way since the days of Visicalc and MultiPlan. Modern Excel 2013 and the latest Power BI add-ins do sizzle in demonstrations, but there are analyses Read more…

Five Steps to Running ETL on Hadoop for Web Companies

Sep 1, 2014 |

Mention ETL (Extract, Transform and Load) and eyes glaze over. The thought goes: “That stuff is old and meant for clunky enterprise data warehouses. What does it have to do with my Internet/Web/ecommerce application?” Quite a lot, actually. ETL did originate in enterprise IT where data from online databases is Extracted, then Transformed to normalize it and finally Loaded into enterprise data warehouses for analysis. Although Internet companies feel they have no use for expensive, proprietary data warehouses, the fact Read more…

What Exactly Is Big Data, If It’s Neither About Big Nor Data?

Aug 29, 2014 |

Many people ask us why there doesn’t seem to be an accepted definition for Big Data in view of the massive press it receives. And given the amount of marketing effort expended by the global IT vendors who are targeting this bandwagon (and the venture-funded start-ups) they can be forgiven for being confused. Just as most consumer marketing – curiously – is focused on adolescent buyers with a fraction of the purchasing power of their parents and grandparents, so it Read more…

Who IBM’s Server Group Turns To for Machine Data Analytics

Aug 28, 2014 |

IBM’s engineering prowess is second to none, and its Systems and Technology Group builds the computers that run the world’s biggest companies. But when IBM’s STG unit went looking for a way to predict failures by analyzing log data returned by its customers’ servers and storage arrays, it looked externally to a little-known machine data analytics startup from Santa Clara. Glassbeam got its start five years ago, before the Internet of Things (IOT) became the industry’s hottest buzzword and out-hyped Read more…

Are Meetings a Waste of Time? Data Analytics Weighs In

Aug 27, 2014 |

Have you ever wondered whether big meetings are a giant waste of everybody’s time? Now a data analytics startup named VoloMetrix is putting data science to that age-old question, and the answers it’s generating might surprise you. In most industries, the cost of human capital is the most expensive line item on the annual budget (the oil and gas business is one exception). The salaries and benefits that companies pay their workers routinely account for 50 to 70 percent of Read more…

If You’re Missing Fast Data, Big Data Isn’t Working for You

Aug 19, 2014 |

Big Data analytics are all the rage. There is little doubt some great things can be accomplished when an organization takes to mining its data to produce meaningful change in the business. Yet, 64 percent of enterprises that invest in Big Data projects struggle to unlock the value of their Big Data insights, according to analyst firm Gartner. A recent survey on Big Data by my company revealed that 72 percent of respondents could not utilize the majority of the Read more…