The role of data experts in large data analysis

Big http://www.aliyun.com/zixun/aggregation/13768.html "> Data scientists ' work starts with business issues in the business, and the next step is to create an analysis plan that some companies call" data analysis plans. "Of course, you need to take into account the different professional backgrounds of data scientists, such as academics, software engineering, marketing, business management, and so on, and almost all data scientists will start from their areas of expertise, set up a variety of techniques to eventually integrate and work out a plan focused on solving business problems."

Data scientists and their analysis team's plans propose how to assemble datasets and develop a plan for how data is used to answer business questions.

The analysis plan can also be another tool for data scientists to conduct analytical work on communication and business collaboration.

Analytical work

Once the analysis plan has been approved and implemented, data scientists will begin their analysis with a series of tools and methodologies, some of which may be proprietary to their business.

Data security

Data scientists have also played an important role in large data security, even by setting precedents and policies for how to use and manipulate business data. Usually, data scientists and their teams have even the right to enter the new dataset that may bring business without permission, and then help the enterprise define how the data should be antivirus to maintain the value of the analytics business while minimizing security risks and meeting the necessary compliance rules.

Interaction with senior management

The role of data scientists may have the appeal of a certain kind of personality, they do not always deal with data on enterprise management, especially if these large data are still new to the enterprise, or only the high-level of the enterprise has access to the data. According to Dr Downs: "It depends on the focus and size of the business." In some cases, businesses and products are based on scientific data, just like in Globys, in which case the access rights of data science represent a certain level of administration.

He added, "The science of enterprise data drives the measurement and optimization of business operations, rather than the product of the enterprise, data science plays a direct reporting role in the business impact-for example, mobile operators may be reporting directly on the level of branding and marketing functionality, while financial services may be through the chief risk officer. ”

Large Data product

Although we have been working in the field of data operations, data scientists may play a role in large-scale operations of large data, speeding up the production of large data projects. This usually occurs only in the case of large data outputs that have market value and can be sold to external customers through a single effort or through subscriptions.

Intellectual property and large data

Data scientists may have been able to protect intellectual property as part of their role through patent work. Intellectual property protection can be a master plan or a discovery based on self-organization (ad hoc). While the work of data scientists in midsize enterprises or outsourcing services may not include dealing with intellectual property issues, data scientists in large companies need to pursue intellectual property to protect their employer's competitive advantage in the market for their competitors. Intellectual property is customer-facing software and services. Protection of intellectual property is not so important for large data work within the enterprise.

As big data continues to be a growing concern in today's business, I believe that intellectual property protection will become an increasing part of the data scientists ' work to establish the status of innovators and thought leaders who claim large numbers of data.

(Responsible editor: Lu Guang)