Need not analyse a way randomly (sampling investigation) such shortcut, and use all data to undertake analytic handling.
Point to cannot be in can undertake catching with groovy software tool inside susceptive time limits, the data set that manage and handles closes. Ability of mode of need new processing has more powerful decision-making force, have an insight into the information asset of increase rate of the magnanimity that discovers Li He flow optimizes ability, high speed and diversification.
About big data, IBM has 5V theory: Volume(is many) , Velocity(high speed) , Variety(diversity) , Value (value) , Veracity(authenticity) .
2, big data is not all-purpose1, the content preference that data can help understanding user associate with, but the user once did not like on behalf of future.
2, data can help real time understand an user to be opposite the 100 million be fond of that release content, optimize prospective content thereby, but data cannot replace originality to carry out. Content is as before king.
3, data dies objectively, but reach through data the hole sees with conclusion because of the person different. Same data does not give completely different verdict likely also with person analysis,
3, whether should sale person be in charge of to the sale? (to wanting the client of light exposure only this problem is disregarded please)Traditional point of view: Of the brand building is a long-term course, and the relation that affects between consequence and sales volume is very much, for example service life of consumer of durable consumer goods is long, buy a time little, buy consequently behavior and decision-making more discreet, good promotion is one of conditions only, include product quality, carry out hind, design, buy channel to wait many sided element a moment joint action decides to buy. Invite sale and sale couple so simply funny.
New point of view: The border of sale is bigger and bigger now, more and more ambiguous, the stay away from home that occupies an user (use fulfiling one's promise user from witting product / serve to use, the whole process that share) more and more parts in chain, pass the get through linkage of big data, mark and track target crowd, can collect feedback quickly to undertake optimizing, can more scientific to reach buy oriented.
Whether should sale person regard assessment as the standard with sales volume KPI?
If decide all and important segment of final sales volume is in charge of by sale person, need of course and KPI link up with. Products plan, sale channel, group of Party A market, public relations, include customer service feedback. But this is impossible apparently... ... so sale person cannot be total sale to buy sheet as a result, but if be being done,strategy is mixed when carrying out, not be with final sales volume oriented, that is behave like a hooligan.
4, sale perspective unscrambles dataAbstruse beauty has Fusion of a famous and academic tool, among them 5C is academic, use a help technically to seek commercial purpose and target, have 5 analysises point of view (combine big data)
5, whether has been target crowd jumped over greatly more?Undeniable quick pass the time in a leisurely way kind consumable for example of and so on of mineral water, shampoo no matter be,get numerous age or Tartarean span is very big. Opposite for target user picture will be very extensive. The range that covers meanwhile is wider, optional type of merchandise also jumps over everybody much, in the times with superfluous now information, have more to buy the customer of the choice, why should buy your product?
And now transmission environment is told, circle is smaller, what sale charge wastes is less. In the light of specific crowd makes directional promotion, can use finite fee more effectively not only, and same Qian Ke affects them with relapsing. Circle is additionally smaller, obtain the resonance of consumer more easily, psychology has an ego to consult effect (show everybody is in when contacting new thing, if as germane as oneself word, can have power more, forget not easily) . Communicate in the light of circlet layer, the attributive move that produces a brand more easily and faithfulness are spent.
6, the target suffers numerous picture data how to be classifiedMetadata: Attribute data, the data that defines crowd sexual distinction, age to wait. Characteristic: Stability is strong, be not changed or the change is slow.
Behavior data: The trace of can be recorded style or manner of writing of specific crowd, for example agency contact behavior, social behavior, taxi behavior, characteristic: Be captured easily and dog, easy analysis be discriminatinged
Manner data: Specific crowd is spent to the manner of specific phenomenon or brand, satisfaction, faithfulness is spent, world outlook. The meaning of manner data depends on helping sale person's better understanding deed count the account that occupies generation. Characteristic: As close together as behavior data union, can have jackknife sometimes, be gotten not easily and dog, be identified not easily.
Two case that cite look surely, 1, Parisian XX. 2, Chen Ou body
7, crowd picture modelBrand, category, contest tastes 3 perspectives to set out
8, in item executive process, socialization listen respectfully and optimizeHeavy gold supports recreational program, after broadcasting public praise unexpectedly, negative comment is ceaseless, how to optimize
9, other