Data Middle Office Construction (5): Breaking Enterprise Data Silos and Extracting Data Value

Breaking enterprise data silos and extracting data value

I. Data aggregation - breaking enterprise data silos

To build an enterprise-level data center, the first step is to interconnect the data of various business systems within the enterprise to break the data island 2, mainly through dataAggregation and exchange to achieve.

• The data collected by the enterprise can be online data collection, offline data collection, Internet data collection, internal data collection, etc.The main carriers of online data collection are divided into two types: Internet and mobile Internet, corresponding to system platform, web page, H5,
  mini program
  , App, etc., the data can be collected by front-end or back-end buried points.

• Offline data collection is mainly collected through hardware, such as: WiFi signal collection, camera, sensor, signaling data collection, image and video collectionWait.

• Internet data collection is the so-called web crawler. When the internal information of the enterprise is insufficient, it can consider using external Internet data and internal data for effective integration, so that the internal data has more value in the application.

• Internal data collection is mainly for the collection of data in the business library through tools.

Some companies will also develop their own data exchange products to shield the complexity of the underlying tools and provide enterprise users with visual configuration.

Second, data development - extracting data value

The product capabilities involved in data development mainly include three parts: offline development, real-time development, and algorithm development.

• Offline development mainly includes offline data processing, publishing, operation and maintenance management, as well as data analysis, data exploration, online query and ad hoc analysis.

• Real-time development mainly involves real-time access and real-time processing of data.

• Algorithm development mainly provides a simple and easy-to-use visualization method to realize in-depth mining of data value.

For the above three parts, native technologies can be used to build a data center, or the storage and computing capabilities of big data can be encapsulated through a data development kit.Make it easier for users to use big data in a productized way.