Informatica Data Management scheme interpretation of the value of the subdivision

At present, the biggest problem of large data processing is input-output ratio, that is, the data analysis into a greater effort can bring higher returns, however, with the advent of SNS and other new forms of Internet use, data types are more and more rich, data storage and processing also become diverse, data management has encountered unprecedented pressure.

The scientific nature of data classification

In the traditional data classification based on computer theory, dividing data into structured data that can be directly processed by computers and unstructured data that cannot be measured, but such classifications are based only on the ease of data processing, but ignore a key question: will more valuable data be filtered out of the mass of data? In view of this problem, the current large data management domain has gradually begun to subdivide, and the concept of master data is also mentioned in the subdivision domain.

Compared with the traditional data processing difficulty, the large data management solution provider Informatica to three types of interactive data, transaction data and main data, and the most notable is the master data.

The Informatica rules are based on the use of data, which refers to the sharing of data between systems (such as customers, products, suppliers, accounts, and organizational departments). Therefore, the main data is the core data of the enterprise, which plays a key role in the enterprise operation, and many business activities revolve around the main data. The value of the main data processing is the authenticity of the data, and the main task of the main management is to match the data and find the real and useful data.

Focus on a class of data processing

Grasp the key concept of the main data, the idea of large data processing needs to have a corresponding change. Traditional large data on the preservation and analysis of data lack of purpose, data types and content dispersed, information is difficult to measure, so the input-output ratio is very low, the data what kind of value is difficult to measure. If only the main data is locked, the cost of storage and processing of large data will be reduced, and the data type and information tend to be unified, which facilitates the increase of input-output ratio.

Starting from a class of data, starting from small amounts of data, according to the requirements of increasing data processing, this is the Informatica products to guide users to do things. In short, it is to move the large data processing to the idea of paying more attention to the quality. Another benefit of this is that companies that are not very large in data volume are also involved in the processing of large data.

As a practical action, Informatica has different predefined package for small businesses, midsize enterprises, or large enterprises in the product launch, users can choose according to their own actual situation. At the same time, Informatica Master data management is used to manage different types of data, such as storing data, social data and moving data, to adapt to different types of data. In addition, Informatica also constructs master Data management technologies for multiple vertical industries, such as retailing, financial services, manufacturing, life sciences, medical, and energy, through an ecosystem approach with partners.

Ecological environment

Building ecosystems also gives Informatica a flexible customization capability that can be tailored for more vertical industries. When the environment changes need to generate new data processing systems, Informatica MDM does not use programming to generate code, but through metadata to deal with, without downtime testing, flexible adaptability for customers is very important.

Similarly, the growing diversity of data poses a huge challenge to master data management, in which case Informatica specializes in targeted management scenarios, such as cloud MDM for Cloud computing, Facebook MDM for social media, etc. For the diversity of database terminals, the software gradually provides support for SQL Server, SAP Hana, etc. to ensure that master data can be quickly identified and processed.

Informatica is very concerned about the Chinese market, and maintains a continuous learning mentality, will adjust their development strategy as the market trend. For the Chinese market, Informatica in the business operation mode and so on to make a great adjustment, before five or six years through their own face-to-face communication with customers to expand their business, through the accumulation of several years, Informatica has a certain customer base and brand image. Now, Informatica wants to align itself with the top-tier partners in the industry and the market, and they can help INFORMATCA to complete a big leap in the Chinese market from the initial accumulation of the Chinese market to the rapid coverage of both industry and regional markets.

(Responsible editor: The good of the Legacy)