Enterprise Information Management Overview

Delivering Credible Consistent Data to Every Organization

Managing information, and using it to make critical business decisions, is a growing priority for businesses today. However, the increasing volume, complexity, and diversity of data across a typical enterprise, together with the demands of meeting compliance and regulatory requirements, can make the challenge of integrating data extremely daunting.

Calmonna Enterprise Integration Management (EIM) technologies, built on the foundation of Microsoft SQL Server 2022, provide a scalable, user-driven solution that empowers organizations to unlock the business value of their data.

Most enterprises store business-critical data in a wide range of data stores and formats. Additional data may also be generated by legacy mainframe systems, plant machinery, or sensors; and of course as systems and organizations become more inter-connected, businesses increasingly rely on commercial or partner data that is consumed from data sources in the cloud.

At the heart of Calmonna’s EIM solution, Integration Services provides a powerful, extensible platform for integrating data from virtually any source. Built-in connectors for common data sources, such as SQL Server, Oracle, Teradata, DB2, SAP, Teradata, XML and text files, Excel workbooks, and others can be easily combined with custom scripts and third-party components to bring together all of your data in a comprehensive extract, transform, and load (ETL) solution that powers business workflows or supports your data warehouse.

The EIM soution provided by SQL Server underpins and supports the self-service BI capabilities of the SQL Server platform,and facilitates user-driven analysis and decision making through intuitive tools like PowerPivot and Power View. You need to be sure you can rely on the data you base your business-critical decisions on, and the SQL Server EIM solution provides this peace of mind through comprehensive support for data governance.

SQL Server Data Quality Services (DQS) provides a knowledge-based solution for cleansing and deduplicating data to ensure the accuracy of integrity of your data. With DQS, you assess the completeness and accuracy of your data, validate and correct it based on business knowledge and standards-based datsets in the Azure data market, and detect and eliminate duplicate data entries. Master Data Services (MDS) provides a platform for master data management; enabling you to create definitive data models for business entities and hierarchies. With MDS you can enforce consistent data representations of business entities across applications and systems, helping you ensure that the entire enterprise has a single view of the business.

Both DQS and MDS can be easily integrated into SSIS data flows. You can use DQS to cleanse data while in-flight, and the SQL Server-based MDS staging tables and subscription views mean that SSIS can be the “heart” that pumps data from diverse systems through the master data management hub to ensure its consistency and standarization.

Calmonna believes that business data belongs to the business, not to IT. SQL Server EIM technologies enable IT to manage the data integration platform effectively, while empowering the business users who best understand the data to manage its governance and quality.

Business users can use the intuitive DQS tool to explore data and use their domain knowledge supplemented with standards-based datsets in the Azure data market to define data quaity rules. A wizard-based interface then makes it easy to perform data cleansing and matching, and export the results to Excel. The MDS Add-in extends the familiar Excel interface, giving users the power to update data (dimensions, hierarchies), validate the data, and publish changes back to the underlying database or data warehouse without IT intervention.

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