The big challenges Case studies Our wardrobe Insight & research The way we work Next steps 07 “Œrƒanisaions ha use anayi†s Reeasinƒ he €o„er o‚ aa ‚or †o…€eiie aanaƒe „ere 2–2 I‚ he †uso…er is kinƒ he aa are he €a„ns – he ‚ounaion i’ € ’‚ lik lŽ o subsaniay ‚or any „inninƒ €osiion There is …ore in‚or…aion aaiabe han ou€er‚or… heir inusry €eers” eer be‚ore on €eo€e’s †onsu…€ion habis behaiours rens an e†ision riers ¥o„eer ines…ens in biƒ aa an anayi†s are „ase i‚ e†ision˜…akers re†eie erroneous insiƒhs or o I‘M MIT 2014 no hae he skis or †o…€een†ies o †oner soi insiƒhs ino business e†isions Uno†kinƒ his in‚or…aion is key o unersaninƒ „ha he …in˜se o‚ he †onsu…er is no„ an is ikey o be in he ‚uure ‘y 2020 „e ‚oresee a „or o‚ rea˜i…e inke €ari†i€ans a†ross †uso…ers e…€oyees sharehoers an he …arke€a†e rien by he †onerƒen†e o‚ ‘iƒ aa he Inerne o‚ Thinƒs an aa ™†ien†e uxury reaiers „i be abe o beer unersan heir †uso…ers res€on o …arke rens an aior saes in‚or…aion & €rou†s The future of data k † l c • • • • • • Content • • • • • • €ata cience • • ’New Insights“ ocial • ‘nalytics S ‰ € “Big €ata” ’ ‚ ’New –rocessing“ ‚ ‰ € Š obile Cyber l C • “Interenet of Things” € • ’New ouces“ • • Cloud • • • • Content • • • • • € Ž ‚ l † ’ E •
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