New Mod­els Emerge in Data Man­age­ment In­dus­try

Voice&Data - - PREEONPLDES -

The year 2016 has seen the global and In­dian en­ter­prise stor­age mar­ket rapidly pick­ing up pace, pri­mar­ily due to the in­crease in gen­er­a­tion of data due to dig­i­ti­za­tion. This pe­riod of trans­for­ma­tion holds plenty of prom­ise as it is likely to of­fer a num­ber of op­por­tu­ni­ties for data man­age­ment firms in the com­ing years. The ex­ter­nal stor­age mar­ket in In­dia hit $330 mil­lion in 2016 and is ex­pected to keep grow­ing at a CAGR of 6.8% un­til 2020.

With an eye on the crys­tal ball, here are the top trans­for­ma­tive tech­nol­ogy trends and de­vel­op­ments that Dr Mark Breg­man, Chief Tech­nol­ogy Of­fi­cer – NetApp and Anil Valluri, Pres­i­dent - NetApp In­dia & SAARC fore­cast will de­fine the data man­age­ment space in 2017, both glob­ally and in In­dia.

Data Is the New Cur­rency

The ex­plo­sion of data in to­day’s dig­i­tal econ­omy has re­sulted in a fun­da­men­tal shift from us­ing data to run the busi­ness to rec­og­niz­ing that data is the busi­ness. With data so valu­able to suc­cess, it has be­come the new cur­rency of the dig­i­tal age and has the po­ten­tial to re­shape ev­ery facet of the en­ter­prise from busi­ness mod­els to tech­nol­ogy and user ex­pec­ta­tions. We’ve seen this in the emer­gence of com­pa­nies like Uber and Airbnb, which are built around the con­trol of a net­work of re­sources. To make things even more in­ter­est­ing, we con­tinue to see new types of data that en­ter­prises didn’t used to think about col­lect­ing. For ex­am­ple, whereas we used to store and share only crit­i­cal trans­ac­tional data, we now store mass amounts of an­cil­lary data sur­round­ing trans­ac­tions for deep anal­y­sis. This can in­clude click stream data and even data about weather and other ex­ter­nal fac­tors that pro­vide mar­ket in­sight.

New Mod­els Take Hold

The fo­cus on data re­quires a uni­verse of ser­vices that can work to­gether to solve crit­i­cal prob­lems of all types. This will re­quire the sup­port of plat­forms and an ecosys­tem of providers and de­vel­op­ers that en­ables them. In this con­text, the plat­form model car­ries in­trin­sic value in its abil­ity to in­te­grate and sim­plify the de­liv­ery of ser­vices. A good ex­am­ple of this is Ama­zon Web Ser­vices, which con­tin­ues to evolve into a richer and richer set of ser­vices all the time. Plat­forms cre­ate a vir­tu­ous cy­cle as does a good flea mar­ket: peo­ple go there to buy be­cause that’s where peo­ple are sell­ing; sell­ers go there to sell be­cause that’s where the buy­ers are. As ac­cess to crit­i­cal skills is be­com­ing more chal­leng­ing, broad­based plat­forms al­low a more fluid flow of tal­ent. Peo­ple with spe­cial­ized skills are at­tracted to projects they find in­ter­est­ing and the ubiq­uity of com­mon plat­forms and tools makes it eas­ier to en­gage their in­ter­ests.

The Cloud as Cat­a­lyst and Ac­cel­er­a­tor

More or­ga­ni­za­tions have been de­ploy­ing cloud tech­nolo­gies to sup­port their data re­quire­ments. The ready avail­abil­ity of cloud-based ser­vices pro­vides easy ac­cess to the in­fra­struc­ture needed to sup­port in­no­va­tion be­cause it has dra­mat­i­cally low­ered bar­ri­ers to en­try: with a credit card and an AWS ac­count, new projects can be set up in a day and op­er­ate on a pay-as-you-go ba­sis. An ex­am­ple of this is Cloud Sync Ser­vice, which was built by six en­gi­neers in six

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