Highly visible large data attracts high level eyeballs

Big data is hot for CEOs, which is good news and bad news for data-management experts. Dataflux's vice-president, Jill Dyché, told us at a recent conference on data governance that highly visible data is attracting the attention of business leaders.

Dyché 's "How to avoid big data traps" in his http://www.aliyun.com/zixun/aggregation/3783.html "> Harvard Business Review Blog" became the most popular article on the site. In this article, she raises five questions, and C-level managers need to answer these questions if they want to make big data. Dyché in the article that leaders have both strong interest and deep suspicion. The main question they asked was, "can the potential impact of implementing large data on the acceleration of existing business processes guarantee greater human and material commitment to the project?" ”

CEOs are interested in data governance, compliance, information security, it modernisation, strategic support, and big data, but worry that big data is just a theory, more theoretical than practical. Before that, however, companies were more prepared than CEOs to explore the value of big data. “

However, she said: "The ability to strategically use information depends on the degree of data integration." The Enterprise Data Warehouse has dirty data, which is rooted in the fact that data is often coexisting but not integrated. Having large data warehouses does not mean growing data, which is the evolution of data formats, and is emerging as a faster and cheaper technology. Social media interaction to do data warehousing is expensive. New technologies can quickly handle data streams from sensors in areas such as medical, petroleum, and petrol. Let me take a look at those who say they have experience with ten years of data, and I also show you that someone is interpreting their data warehouse incorrectly! “

The high level of interest in data is both pleasing and disturbing, and dychés that the line of business with it budgets is trying to reduce it-centric control. This means that the need for data governance is greater than ever before.

An important element of better classification is the use of more security models. And in the interview, Dyché criticized a number of big cooperative organizations that fragmented data governance and information security Links: "These are different groups." When it comes to information security, CEOs first think of laptops being stolen. And we should be more concerned about: Who should access what information strategy. Not all data are treated equally, and not all people have equal rights. “

Dataflux, a health-care customer in charge of security services, has a seat on the Data governance Board. She said the data needed to have a concept of ownership, so some data would not leave its department.

Dyché recommends that you start small, manageable projects from small projects, and begin to provide business value from the beginning. And "Don't just grab a management sponsor." Sometimes management provides funding for data governance and master data management just a tick.

Even for large data, mainstream organizations "still need to identify business issues." Know what you need, a sore point or a problem? It cannot be just a research project, such as Google,facebook or Yahoo.

You also need to govern it. Why are we doing this? What kind of people do we need to rearrange to do this? Big data has a lot of questions about resources, and a lot of "why" questions.

(Responsible editor: The good of the Legacy)