Data science news

Data Visualization Is The Future – Here’s Why

Big Data is a power­ful dis­cov­ery tool for com­pan­ies seek­ing to glean new in­sights. But without the right frame­work for un­der­stand­ing it, much of that know­ledge may go un­re­cog­nized. Oftentimes, it’s data visu­al­iz­a­tion that al­lows Big Data to un­leash its true im­pact.

The Visual Organization is fun­da­ment­ally about how pro­gress­ive or­gan­iz­a­tions today are us­ing a wide ar­ray of data visu­al­iz­a­tion (datav­iz) tools to ask bet­ter ques­tions of their data and make bet­ter busi­ness de­cisions,” says Simon, cit­ing the ex­ample of com­pan­ies such as Amazon, Apple , Facebook, Google , Twitter, and Netflix , among oth­ers.

Of course, many com­pan­ies have long been us­ing rudi­ment­ary datav­iz tools, such as a Microsoft Excel graph or chart, he notes. “But that’s un­likely to pro­mote true data dis­cov­ery.”

Visual Storytelling: Why Data Visualization is a Content Marketing Fairytale

The be­st con­tent mar­keters start with re­search and gather great data that sup­ports their mes­sage. That data could be cus­tom­er sat­is­fac­tion per­cent­ages, pro­duct rat­ings, testi­mo­ni­als, re­views, etc. They then use those facts to sup­port their mes­sage in a way that gen­er­ates con­ver­sions.

We’re told “Content is king.” and that hav­ing great on­line con­tent is THE mar­ket­ing mir­acle to driv­ing sales. And it is. But nowadays, there’s so much clut­ter on the web that simply hav­ing great con­tent isn’t enough. The sad truth is that your con­tent can’t rule so­lo over your mar­ket­ing king­dom any­more. But nev­er fear there’s a way to en­hance your con­tent and make it more en­ga­ging to your audi­ence.

That way is data visu­al­iz­a­tion.

Why Data Visualization?
Turns out, hu­mans are de­signed in a way that makes data visu­al­iz­a­tion a great strategy for con­tent mar­ket­ing. By con­vey­ing your mes­sage in a visu­ally ap­peal­ing way, you can make people more likely to sup­port your cause, share your mes­sage, or buy your pro­duct.
Here are three reas­ons why people are so at­trac­ted to visu­al con­tent, and why data visu­al­iz­a­tion may work for you.
1. We love to con­sume data, es­pe­cially data about ourselves.
2. We love to see that data rep­res­en­ted visu­ally.
3. Humans are sci­en­tific­ally de­signed to love stor­ies.

Disruptive Innovations will shape Enterprises in 2014 

Big data ana­lyt­ics is mak­ing big waves across all fa­cets of in­dustry, with ad­op­tion stor­ies and use-cases reach­ing new zeniths. This pace can be at­trib­uted to the in­form­a­tion ex­plo­sion that is lead­ing to un­pre­ced­en­ted levels of fo­cus on the abil­ity to store, man­age, and ana­lyze data.
Last year saw a lot of in­terest in big data, data ana­lyt­ics, busi­ness in­tel­li­gence, and open-source ana­lyt­ic­al tools and tech­no­lo­gies. Industry pun­dits have em­phas­ized the need to en­rich tra­di­tion­al data ware­houses with data from so­cial me­dia, sensors, and hand­held devices. Cloud tech­no­lo­gies in busi­ness ana­lyt­ics proved ad­vant­age­ous in terms of cost-saving and scalab­il­ity, en­abling bet­ter busi­ness agil­ity.
On the us­age front, B2B mar­keters have real­ized the im­port­ance of so­cial me­dia and im­ple­men­ted in­nov­at­ive mar­ket­ing ana­lyt­ics tech­niques and dash­boards to drive value to the com­pany. The use of pre­dict­ive ana­lyt­ics in in­sur­ance in­dus­tries gained pop­ular­ity in 2013 as com­pan­ies real­ized how data in­sights can im­pact busi­ness growth, risk man­age­ment, and loss pre­ven­tion. Newer do­mains, such as health­care, ex­plored ana­lyt­ics for im­prov­ing pa­tient care and re­mote pa­tient mon­it­or­ing.
This in­terest shows no sign of slow­ing. The big data mar­ket is pre­dicted to reach $32.4 bil­lion by 2017,according to IDC, grow­ing six times faster than the over­all IT mar­ket. But where ex­actly is all this growth head­ing? Here are my pick of the trends that will shape the course of ana­lyt­ics con­sump­tion

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