Data science news

Big data could trans­form staff man­age­ment

Big data will trans­form the way busi­nesses de­velop the tal­ent in their work­for­ce over the next five years, ac­cord­ing to ana­lysts. Data ana­lyt­ics has the po­ten­tial to help busi­nesses make dra­mat­ic re­turns by man­aging their work­for­ce more ef­fect­ively, said hu­man re­sources (HR) tech­no­logy ana­lyst Josh Bersin.

“This is the next big thing that is go­ing to hap­pen in HR,” he told del­eg­ates at the HR Tech Europe con­fer­ence. Data ana­lyt­ics tech­no­lo­gies have the po­ten­tial to of­fer busi­nesses in­sights in­to their em­ploy­ees that could have a real im­pact on com­pany profits, the HR con­fer­ence heard.

One in­sur­ance com­pany, for ex­ample, had a poli­cy of only hir­ing gradu­ates from top schools, in the be­lief that this would help it max­im­ise profits from the sales team.

Big Data Can Mean Big Bucks for Small Business

Trends and num­bers are al­ways around us, but for many busi­ness own­ers vi­tal in­form­a­tion of­ten goes un­noticed be­cause most pro­fes­sion­als simply don’t know how to fully use the data they have. Business in­tel­li­gence is a re­l­at­ively new field which al­lows busi­nesses to col­lect, main­tain, and or­gan­ize know­ledge per­tain­ing to vir­tu­ally any field ima­gin­able. Samples of data com­monly col­lec­ted by busi­nesses are: brows­ing his­tory, pur­chas­ing his­tory of cus­tom­ers, stat­ist­ics on web­site vis­it­or activ­ity on web­sites, and pretty much any­thing where data can be logged and tal­lied. Although some types of track­ing raise eth­ic­al con­cerns, there are many cases where busi­ness in­tel­li­gence is le­git­im­ately ap­plied.

Applying Data Analytics to Customer Interactions

Identifying the avail­able types of data is one thing. Applying it in real time to drive out­comes is an­other. Companies must ap­ply a sim­ple yet power­ful, three-step frame­work to de­scribe the philo­sophy be­hind this ap­plic­a­tion of data ana­lyt­ics to cus­tom­er in­ter­ac­tions.

Big Data Analytics – A Disruptive Technology !!

Most of the com­pan­ies now have real­ized that there is a huge com­pet­it­ive ad­vant­age in ana­lyz­ing the hu­mong­ous data quickly &ef­fect­ively for fu­ture in­sights.

Big data ana­lyt­ics is the dis­rupt­ive tech­no­logy bring­ing the 4th as­pect of Value to the already pub­lished TDWI’s 3Vs – Volume, Velocity &Variety.

• It en­ables busi­ness users to pro­cess every gran­u­lar bit of data in quick­er way re­mov­ing the tra­di­tion­al need for sampling & then ap­ply­ing the mod­els
• It en­cour­ages an in­vest­ig­at­ive ap­proach in users for data ana­lys­is since they get ac­cess to whole data
• It can re­veal in­sights hid­den in the data, which were pre­vi­ously too costly due to large data move­ments
• As per Gartner re­port, Big data is pri­or­ity of SMB & it will drive $232 bil­lion in spend­ing through 2016.

ways big data is help­ing re­in­vent en­ter­prise se­cur­ity

What’s true in the rest of the world is true for se­cur­ity soft­ware, as well: more data means more in­tel­li­gence. Thanks to the emer­gence of new tech­niques for stor­ing, col­lect­ing and ana­lyz­ing data, there’s a new wave of se­cur­ity com­pan­ies look­ing smarter than ever.

The ad­vent of big data hasn’t changed the ideas be­hind most en­ter­prise se­cur­ity prac­tices, but it has made them bet­ter. While net­work se­cur­ity and en­d­point se­cur­ity have al­ways re­lied on the pro­cessing of files or traf­fic again­st threat data­bases to de­term­ine wheth­er they’re dan­ger­ous, big data lets them gather, store and ana­lyze much more data. The res­ult, in the­ory, are products that are more in­tel­li­gent than their pre­de­cessors and that make the guys tasked with keep­ing a com­pany se­cure that are much bet­ter at their jobs.

Here are sev­en big data-inspired ap­proaches to se­cur­ity :

Prioritizing threats
Letting ad­mins play C.S.I
Stopping crime in its tracks
Visualizing threats
Keeping BYOD in check
Opening the data — lots of it
Playing pet­ri dish

BigData in HR: Why it’s Here and What it Means

The talk about BigData is get­ting louder by the minute. As com­pan­ies shift their core sys­tems to the cloud, more and more people-related data be­comes avail­able. This, coupled with the tre­mend­ous fo­cus on BigData in the tech­no­logy sec­tor, has cre­ated a huge fo­cus on data driv­en decision-making.

Why Analytics is Coming to HR?

If you think about the his­tory of ana­lyt­ics in oth­er busi­ness areas, the evol­u­tion looks like the chart be­low. When com­pan­ies star­ted in­dus­tri­al­iz­ing their man­u­fac­tur­ing, they even­tu­ally pur­chased ERP soft­ware and de­veloped sup­ply chain and fin­an­cial ana­lyt­ics.

Anlytics for HR

Using Data Visualizations for Content Marketing

When it comes to con­tent mar­ket­ing, noth­ing com­pares to a stun­ning data visu­al­iz­a­tion. For one thing, an at­tract­ive im­age catches the viewer’s eye and gives the rest of your con­tent a second or two to sink in. In the highly com­pet­it­ive en­vir­on­ment of the 21st cen­tury Internet, that second or two can be crit­ic­al.

Big Data Can Mean Big Returns in Retail

Big data for re­tail means a chance to see why a sale didn’t oc­cur. Is it pro­duct se­lec­tion? Pricing? Store dis­play? Ineffective pro­mo­tion­al ma­ter­i­al?

Before, this in­form­a­tion was hard to track, but with the ad­vent of big data and in-memory com­put­ing, two products ideally suited to col­lect­ing and ana­lyz­ing un­struc­tured data types like that of re­tail, are poised to play a sig­ni­fic­ant role in sales.

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