Gartner warns large data items should not be implemented independently

Gartner reminds organizations not to think of large data as a separate category; If you ignore the difference between mobility and desktop computing, there is a good chance of risk;

Referring to the BI analysis and master Data Management Summit in Spain next week, Gartner analyst Ted Friedman suggested that the organization: "Do not separate large data implementations into the overall strategy of BI." ”

At a press conference, Gartner said: "As the IT organization has done over the past few years, and especially the production of Hadoop DBMS products, the application vendor will continue to move forward and embed the profiling functionality for use in the package." One of the most noteworthy trends at the moment is cloud-based package products. ”

Friedman said: "Do not separate large data, and your original project docking." Don't think it's important to buy a whole bunch of new technology back. ”

"As a data governance and MDM expert, I am concerned that the organization will put large data aside and not take advantage of the results achieved over the years in BI and data quality governance." This is risky, especially when it budgets are controlled by CMO. ”

"The client will say, ' We've deployed Hadoop and advanced analytics technology in the marketplace. ' As a result, you find that they are not using existing data-integration tools and have no connection to the current Data warehouse. It really worries me. ”

Large data also implicitly sets a standard for organizations to better manage data. "Social media data, for example, has elevated standards of best practice in the use of legal and moral rights in data." "These unstructured information will be the most abstruse and rewarding type of data."

"Data diversification is most important in 3V. The most powerful and influential information application cases must involve multiple types of data, dealing with unstructured data and finding out how they relate to structured transaction data. But the organization has not yet done so. Text content analysis is still a new field. ”

Development of small mobile devices

"BI vendors are striving to migrate their applications to mobile and tablet devices, as well as their business focus is shifted from the traditional click-through BI and the drag-and-drop user interface to touch-screen interfaces," said a statement before the Gartner Summit. ”

Friedman that this is similar to the development of the 1990 's Master-slave architecture: "People do not catch a cold because of the interactivity and flexibility that PCs bring to host computers." This is also true of today's mobility, and it is useless to work on the desktop again. In addition, Friedman mentions that analytical techniques are no longer guided by speech.

The cashing of information assets

Gartner predicts that by 2016, 30% of companies will be cashing in on their information assets. This view is debatable, but there are many who believe that large organizations will generate new information providers by generating information and investing in large numbers.

Friedman mentioned that he had encountered a job title such as "Information Department product line manager" in a non-information enterprise.

"This is the second phase of the information age. The first stage is to use data to make internal operations more efficient, and the second phase is to make information a business decision in the business context. ”