I want to know the importance of data in enterprises.

Data is one of the most valuable assets of an organization. There is a direct relationship between the data quality and business performance of an enterprise. High-quality data can keep the company competitive and remain invincible during the economic turmoil. With universal and in-depth data quality, enterprises can trust all data that meet all needs at any time.

In order to fully realize the commercial value of data assets, you need a data integration platform. Informatica platform is a powerful data integration platform, and it is also the only data integration platform (any data, any time, any place) that allows you to deliver timely and credible relevant data to extended enterprises, whether it is preset internally or in the cloud.

Informatica data quality can help enterprises find and correct data quality problems hidden anywhere, which will cost your company millions of dollars. Expose all data fields, applications and regions. Gather all relevant personnel to help them take responsibility. Clean up the data and keep it clean.

IDQ has changed the way your business unit works. It enables everyone to always trust all the data that meet their various purposes.

IDQ extends the existing data quality function of Informatica platform, and provides universal and in-depth data quality control for all relevant personnel, projects and data fields of all projects and business applications (whether preset internally or in the cloud) through a unified platform.

With Informatica data quality, your entire organization can:

Proactively clean up the data of all applications and keep the data clean and tidy.

* * * Be responsible for data quality control and data governance.

Build confidence and trust in enterprise data.

The main advantages of Informatica data quality are:

reduce costs

Reduce costs by reusing a set of rules and tools and a development environment to manage data quality:

In all applications,

Applies to all data fields

Across all countries and languages

Applicable to all data integration projects.

Operate more efficiently

Business analysts and data administrators can not only view and participate in improving data quality, but also take effective countermeasures against the impact of data quality on their applications and processes.

Solve business problems faster by involving business units in the data quality process.

By providing business analysts with the right tools to manage data quality tasks, we can reduce our dependence on IT departments.

You can collaborate more efficiently to design and implement the data rules needed to meet business needs in days instead of months.

Support compliance plans with high-quality data.

Improve the efficiency of IT department

Accelerate the standardization and review cycle between IT and business departments through collaboration tools and common project environment.

Access all data quickly so that data quality projects can be completed faster.

Easily build, centrally manage and rapidly deploy reusable data quality rules across all applications.

By using a development environment that can provide data exploration and pre-construction rules for matching and address cleaning, and building data quality mapping in this familiar development environment, the project can be accelerated.

Fast verification of data quality conversion using midway probe

Deploy data quality rules in batches or in real time without recoding.

risk reduction

Take precautions, find, solve and avoid data quality problems, so that your customers will not lose money and competitive advantage.

Establish a long-term sustainable data quality process and trust all enterprise data.

Enhance the confidence of enterprise data in supporting data governance processes by uniformly implementing data quality control in all applications around the world.

Using mature enterprise deployment technology to reduce the risk of failure.