Data Preparation


When to consider the Cooperative Data Cleaning solution?

✓  There are a number of partial data sources (files, databases) in the company, the structure, and content of which are known only to a small number of employees
✓  Data from partial sources are regularly uploaded to the system, which must be manually cleaned before each upload
✓  There is no process of data files controlled editing with clear traceability of editing steps
✓ The IT department is burdened with the requirements of business users for data quality and explaining the procedure of their validation
✓  Data owners have no control over data quality management

How will the Cooperative Data Cleaning solution help your business?

The solution is supplied as an optional application the Data Integration, Master data management, Application Integration, and Big Data solutions with unified management and administration within the solution. Through a clear graphical environment, business users as data owners can clean their data files, get them to the desired state and create predefined procedures for fully automating the repetition of cleaning steps in the future. All steps performed by users in this process are recorded and can be used in data integration processes, for example, for automated cleaning of newly added data to the database or newly created data files.

Cooperative functionality ensures the sharing of data sources to verify their correctness by multiple users and at the same time relieves members of IT departments, as the data cleaning steps can be easily applied when cleaning large data sources, without the need to reprogram requirements into another solution.

The background of the strong Talend platform operating at the international level ensures the possibility of adapting to the latest technologies and procedures before they are recognized at the local level (it offers a market direction compass).


Main advantages

+  Involvement of business users, and data owners in improving data quality in the company
+  Relieving the IT department and reducing the cost of creating data quality rules
+  Ensuring the sharing of data source creation logic
+  Flexible and clear licensing policy without additional fees for data volumes and number of integrations
+  Ability to combine all solutions for Data Integration, Data Quality, Application Integration, and Big Data within one single product 

A comprehensive Data Fabric solution consists of the following functional areas:


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In addition to the often used on-premise type of installation, Talend also offers a hybrid or cloud installation, which you can read more about here.