Data Solutions

CloverETL flexibly supports all data integration projects. The very nature of CloverETL’s extensible and elegant architecture enables it to support all types of integration projects.

Data Integration Do you have disparate sources of data which you need to integrate in order to get complex view of your enterprise? What if you need not only to bring in data from databases, Excel sheets, Web Services and text files, but also need to apply complicated business rules in order to extract new information? CloverETL offers palette of components which will help you with bringing all necessary pieces of information together! Read our CloverETL Data Integration Case Study which will show you how solution built in CloverETL helped our customer with allocating and optimizing telephone costs!
	Data Cleansing CloverETL is a versatile tool which can be also used for data cleansing. Its specialized transformation language allows implementing even very complex validation rules. Clover offers several transformation components which can be used for building data cleansing transformations: ApproximativeJoin - joining data based on similarity, not only exact match Approximative Lookup - looking up values based on similarity of reference and lookup key E-Mail Checker - validating e-mail adresses (both in active and passive mode) Clover Transformation Language (CTL) further broadens the pallette of data cleansing focused functionality by offering edit distance, soundex, metaphone, NYSIIS and other functions. The standard set of data cleansing and validating components and functions is furher extended by specialized address validation and cleansing add-ons as e.g. AddressDoctor. Read Data Cleansing Case Study which shows benefits of a usage of ClovetETL for data validation and data cleansing.
Data Migration It is a process of transferring data between storage types, formats, or computer systems. We can achieve an automated migration that frees up human resources from exhausting tasks. It is usually required when organizations change computer systems or upgrade to new systems, or when systems merge (e.g organization undergo a merger/takeover) and many others. Do you want to learn more about a specific problem we solved with data migration? Find out more at Data Migration Case Study.
	Data Warehousing Among the greatest benefits of a data warehouse is the ability to analyze and make business decisions based on data from multiple sources. It helps to gain a competitive advantage of any organizations. In the frame of a Data Warehouse CloverETL shortens transformation development time and allows rapid accommodation of changes in business process and quick customization. Learn more about how you can utilize CloverETL in our Data Warehouse Case Study.

Data integration software and ETL tools provided by the CloverETL platform offer solutions for such data management tasks such as data integration, data migration, or data quality. CloverETL is a vital part of such enterprise solutions as data warehousing, business intelligence (BI) or master data management (MDM). CloverETL’s flagship applications are CloverETL Designer and Server. CloverETL Designer is a visual data transformation designer that helps define data flows and transformations in a quick, visual, and intuitive way. CloverETL Server is an enterprise ETL runtime environment. It offers a set of enterprise features such as automation, monitoring, user management, real-time ETL, clustering, or cloud data integration.

Data Solutions

Data Integration

Data Cleansing

Data Migration

Data Warehousing