What exactly is large data, if it is not about large, and does not need to consider data?

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Many people ask why there is no accepted definition of large data in view of the large media reception. Given the efforts of global IT vendors to target the ranks (and venture-capital Ventures), they are forgiven for having doubts about it.

Just as most consumer marketing is curiously focused on the purchasing power of teenage buyers is only a small part of their parents and grandparents, the big data and its advocates are the same.

They show their traditional clients--it departments in popular language, and fail to participate in (in fact, completely alienate) business managers ' business problems, which can be solved through analysis and direct control of the budget.

That's why, what's the point of using big Data?

The goal of the IT department stems from laziness and geeks. Laziness in this sense means that, with very few exceptions, these big companies do not need to focus directly on the needs of business managers, and their IT departments will handle this transformation effort.

In this sense, geeks mean that smaller professional firms are managed by technicians, so their market messages (the cause of the background) tend to focus on "speed and replenishment" rather than on solving real-world business problems.

This has negative consequences for large data projects, and the risk will become sand that reduces the attractiveness of "new oil".

A lot of hype about the promise of big data has appeared in the media, raising the expectations of business executives and confusing them.

Manufacturers want the IT department to be the first to start big data projects is self-deception. The status of today's IT departments is as follows: (i) the day-to-day work to make it too busy (BYOD, mobile access, security, etc.); (ii) lead them to choose promising areas for pilotage analysis and functional managers the areas of concern are too far apart; (iii) unskilled data scientists.

So, back to the question of what "big Data" is, there is no accepted definition, however, it is not ' big ', it's not about ' data ' (mostly).

First, it means collecting more extensive data than the current or traditional analysis of the organization. So, in addition to the same monthly reports that run on the financial system, and for example, statistics on the website, and data from today's analysis and business integration that it has no known relationship to,
Second, it means deriving new insights from new methods that combine the different data (and possibly external, such as geography or society). More "Data discovery" than "Weekly Report Pack"

The third part is about more effective visualization, which can help stakeholders to absorb, share and use new insights into data analysis.

If the first pillar (' problem ') is to help managers better understand their business drivers, the second pillar (' acceleration ') is about the speed and precision of the business response.

Once the discovery department has made some insights, the second aspect of the big data is about putting it into application work. This may be an on-demand report that helps managers make decisions more quickly, or it can be a set of application rules that automatically make decisions (also known as "algorithms") to input data.

The third pillar is "transformation", which is the process of its deployment. Many companies see big data as a wave of technology, but big data should be seen as a wave of business transformation. This is why until the business change problem is properly addressed, it has not become a mainstream product.

The implication of the third pillar is the opportunity to learn to develop data through experimentation. The principle of "data as a corporate asset" is related to this and is, by extension, the maturity level that each business has reached. The good news is that as more and more companies deploy, there are more and more agreements defining maturity standards at all stages.

Interestingly, tech companies are finally starting to turn to the big data definitions that business people acknowledge. "Today, thanks to the technology known as ' Big Data ', computers can capture things and affect the unfolding of events," said Paul Marize, chief executive of Vito Lo.

So, contrary to all media hype, big data is really neither big nor about data, it's about questioning, accelerating and transforming.

Author: Mike Fish is a director of Bigdata4analytics (a large data management consulting firm)

Original link http://www.36dsj.com/archives/12983