Data science news

Big Data’s Impact on 2013 Holiday Sales

The hol­i­day sea­son has ended and the ana­lys­is has be­gun to un­der­stand what worked and what did not for eco­m­mer­ce mer­chants. Cyber Monday be­came the biggest on­line shop­ping day in his­tory with a 20.6 per­cent in­crease in sales over 2012, ac­cord­ing to the IBM 2013 Holiday Benchmark Report.
Retailers are in­creas­ingly tap­ping in­to the ava­lanche of data from their own sites and from third-party sites to drive sales and bet­ter serve their cus­tom­ers. This art­icle will ad­dress five key ways Big Data im­pacted the 2013 hol­i­day shop­ping sea­son.

1. Contextual Promotions
2. Gift Selection
3. Personalized Customer Experience
4. Improved Customer Service
5. Integrated Analytics

8 Effective Data Visualization Methods For Security Teams

Just as a pic­ture says 1,000 words, a good data visu­al­iz­a­tion can of­fer far more in­form­a­tion about a large data set than raw num­bers or out­puts ever could. As se­cur­ity teams ad­vance their se­cur­ity ana­lyt­ics prac­tices, data visu­al­iz­a­tion will play an im­port­ant role in their day-to-day ana­lys­is. The fol­low­ing are some of the most ef­fect­ive ways or­gan­iz­a­tions today are graph­ic­ally crunch­ing the num­bers to gain a bet­ter un­der­stand­ing of their se­cur­ity pos­tures.

1) Hierarchical Tree Map
2) Link Charts
3) Graph Pattern Matching
4) 3D Visualizations
5) Timelines
6) Geographic Visualizations
7) Parallel Coordinate Plots
8) Standard Charting

What the Frack: U.S. Energy Prowess With Shale, Big Data Analytics

The rum­bling you hear un­der­ground isn’t just oil. It’s gush­ers of data that if ana­lyzed prop­erly can yield new in­sights to pro­du­cing more shale oil while re­du­cing neg­at­ive ef­fects on the en­vir­on­ment. According to McKinsey, Energy and Big Data are two of the top-five game-changers for the U.S. eco­nomy and can to­geth­er add up to $1 tril­lion to the GDP of U.S. by 2020 — and the in­ter­est­ing thing is this ana­lys­is doesn’t even take in­to ac­count the ef­fect of Big Data Analytics in Energy.

Big Data Analytics is tak­ing on a new role in the oil and gas in­dustry, where com­pan­ies are com­bin­ing the find­ings from geoscient­ists with those from data sci­ent­ists. The data is com­plex, var­ied and massive. But by tak­ing a look in­to dif­fer­ent data sources and data types, Big Data Analytics can help oil and gas com­pan­ies pre­dict where to drill (some­times called ‘sweet spot­ting’) and frack, plus pre­scribe how to frack for max­im­um pro­duc­tion with min­im­um en­vir­on­ment­al ef­fect.

How Big Data Analytics Will Affect Your Company Culture

Whether your com­pany builds soft­ware, provides mar­ket­ing ser­vices or sells life-sized posters of Fred Flintstone, big data ana­lyt­ics will af­fect your com­pany cul­ture. Why? It’s sim­ple: ana­lyt­ics of­fer in­form­a­tion, and once in­form­a­tion has been learned, it changes everything around it. Just as our Stone Age an­cest­ors un­der­went in­cred­ible cul­tur­al changes with the dis­cov­ery of con­trolled fire, so too do our mod­ern busi­nesses change cul­tur­ally when ex­posed to the ad­vanced, spe­cific in­form­a­tion avail­able in the form of Big Data. More to the point, if big data isn’t af­fect­ing your com­pany cul­ture, you aren’t us­ing it cor­rectly.

The spe­cific ways in which big data are go­ing to af­fect your own com­pany cul­ture are de­pend­ent on the type of data you have, and what you in­tend to do with it. Take, for ex­ample, a com­pany whose primary in­come comes from cloth­ing sales. Their com­piled data should be com­prised of de­tailed demo­graph­ic in­form­a­tion about their cus­tom­ers; a prop­er big data ana­lys­is will re­veal cer­tain con­sumer trends. The way the com­pany de­cides to pur­sue these trends af­fects its over­all cul­ture.

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