Small numbers will get bigger.

The era of large data is getting more and more people's attention and chasing, and its footsteps seem to be getting closer, but the needle for this competition, let many small companies began to worry, compared with Baidu, Tencent, Alibaba, these small companies only to master the limited data flow. How can such a company compete in the Big Data age?

Large data in the United States seems to have been a good landing, recently, but also slowly infiltration into the middle market, some manufacturers of IT equipment, suppliers and distributors of enterprises, also began to rack their brains to apply the existing data to the business. They are committed to using large data to establish a relatively perfect business model, to serve the products and terminals to achieve their own good prospects.

For small companies that lack the funds and resources to invest in expensive equipment and platforms, the only "small data" they can use, such as some of the resources from Google Analytics and the CRM system, seem pathetic. In fact, the idea that only massive amounts of data can work is wrong. Small data used well, can also have a big act.

The finite data stream also has a sample value, but the sample range is small, if small businesses can improve their mining and analytics capabilities, they can also learn from small data about a group's markets, purchases, tastes, and experiences, and, to some extent, the small, well-applied data is no more weak and sometimes more accurate than big data.

Roambi, a mobile internet company based in San Diego, USA, is a co-founder of Becora, an expert in the field of data analysis, whose company specializes in mobile app design and analysis of app applications on different devices.

Becora for small enterprises to properly apply the small data problem, put forward five points of advice:

1. Focus on your data resources

Although the next wave is called "Big Data", it does not mean that the data must be so large as to be useful. For example, a Web site that uses Google Analytics is capable of collecting data such as the number of visitors, access sources, locations, page views, stay times, and so on that can easily be accessed, and trade-offs are a problem.

The variety of data doesn't mean you have to use it all, just use what you need, or just use data that is potentially commercially oriented. For example, you can decide whether to use a tool to initiate a conversation with a user based on the time of the user's stay on your site. In business activities, it is critical to correctly evaluate their own needs and objectives and design a data strategy for local conditions.

2, all data should closely follow the productivity

Today's business has two characteristics, that is lively and active, so your data must follow the productivity, regardless of where the productivity jumps to the airport, restaurants, golf course, the data should not abandon, closely follow. As time passes, real-time data such as the performance metrics stored in the CRM system will help you make your next business.

There are many ways to quantify the productivity that runs outside of the office, whether it be mobile phones or tablets. Also, there are a lot of apps that can be used to store real-time performance data, and there are always some that are handy.

3, Inspiration + data + action

Be adept at getting inspiration from your small data streams and implementing them as concrete actions. For example, you can try to collect data about how many visitors to your site clicked on the active link. Users actively fill out forms on your site, perhaps as a special cue to inspire an active conversation from salespeople.

A visitor who is browsing an incomplete version of a Web page for more than a certain period of time can provide a full version of the download button. E-commerce Web site, you can configure the active button with this feature.

4. Small Data Large service

We often use data to analyze and improve sales and marketing behavior, and data can also be used to provide better service to customers. More customer-oriented data should be used to improve service quality.

You can use the conclusions of the data analysis to stimulate some reminders in a timely manner to facilitate customers to subscribe to some virtual services, do not have to go everywhere to find registration and payment buttons, fill out the cumbersome information, thereby losing the purchase interest. Sometimes, the benefits of good service are staggering.

5. Presentation of data

This year is a big data year, this is the result of ten years of grinding a sword. People are now too reliant on spreadsheets to collect data and display data, and in the end, the beauty of the data is lost and the inspiration is lost in a string of dull numbers.

Can be used in a new form to customers, but also to provide their own pleasing data presentation form, at a glance. The fact that people are using graphs and pictures in large quantities is well worth advocating, which gives people a vivid account of the stories contained in the data from another perspective.