Mr. Cai's discussion on Big Data 10: how enterprises start their big data strategy (1)

In the following chapters, we will focus on how to use big data for an enterprise. I have roughly summarized three aspects, congratulations, your company is enjoying the benefits and value of big data.

Before getting started, we must first make it clear that the enterprise management should have a clear idea and then implement it from top to bottom. The management should also have a clear understanding of the expected business impact, we can provide a package of methods from data collection, model establishment, and enterprise culture transformation to avoid falling into the mindset trap of "data can be done for Enterprises.

For enterprises to customize big data strategies, pay attention to the three key points. To put it bluntly, we will also summarize the essence based on the previous articles.

First, you need to collect, identify, and filter data sources (ELT is also known as data clearing.

Second, establish a data model suitable for, predict, and optimize the business or system decision-making needs.

Third: The management layer must have the ability and determination to use the big data strategy to promote the transformation of the enterprise system.

Compared with the first two points, the third point is particularly critical. It involves the transformation of the Strategic Thinking of the enterprise's management layer and the execution of the transformation. It is a bit like the Enterprise-customized enterprise informationization in the past ,:)

How can enterprises start? Let me summarize two points:Select appropriate data", The other is"Establish appropriate data models and improve analysis capabilities".

Select appropriate data

In the past and now, data continues to expand. enterprises can establish expanded business insights through various data tags, allowing enterprises to comprehensively and precisely examine the business environment, to put it bluntly, having unprecedented insights through big data can effectively improve the enterprise operation level, customer experience, and corporate strategy.

Enterprises canCreatively collect dataAndIT supportTo complete the work.

Creative data collection:The company has data that can be used to solve business problems, but the manager does not know how to use it to make key decisions. For example, the factory and customer service departments have updated data on a daily or hourly basis, but the operation manager often cannot capture its potential value. By refining issues and opportunities, the management team promotes managers to view data more comprehensively. To put it bluntly, it is necessary to discover available data sources among numerous data sources. Managers need to creatively look at the potential of external and new data sources, such as the large amount of unstructured data generated on social networking websites and media (traditional databases store structured data) such as images, sounds, videos, and other data collected through monitoring, such as website day-to-day, user operation records, user phone inquiries, and even weather forecasts, business statistics reports, etc, can be used as internal and external data sources to answer this question: we can use the data we have to make those decisions to stimulate managers to think about the data.

IT support:The IT architecture of traditional enterprises may not support Big Data Processing (storage and analysis). enterprises can meet the needs of big data in a short period of time according to their priorities, it is an iterative process to quickly identify and obtain the most important data for analysis, and then constantly transform the IT architecture to add data to compensate for the previous defects. Of course, you can also use a third-party Technical Company to provide a rectification solution. For example, the company where Mr. Cai is located can do this :).

Continue to discuss in the next chapter...

650) This. width = 650; "src =" http://s3.51cto.com/wyfs02/M00/3C/DE/wKioL1PDgQ7RVE0GAAHlAQF8R2g091.jpg "Title =" Cai xiansheng .jpg "alt =" wkiol1pdq7rve0gaahla4108r2g091.jpg "/>