Comarch Data Editor – safeguarding data quality

High data quality is the foundation of effective data management in an organization. Data inconsistencies, errors, and duplicates lead to incorrect conclusions and ineffective decisions.

Comarch Data Editor enables improvement of data quality by eliminating errors, duplicates and inconsistencies in databases. The tool supports the data quality management process, allowing for real-time validation, cleaning and standardization of data, ensuring its accuracy and integrity. The tool offers the ability to run automatic cleaning procedures and also gives users the option to make manual corrections.

Data from different systems, often stored in different formats, poses a significant challenge in data management processes. The lack of standardization prevents the effective use of information and leads to errors in business analysis.

Comarch Data Editor enables data unification by standardizing formats, values, and structures. For example, you can unify date formats, currencies or units of measurement, ensuring data consistency and integrity across the entire organization.

Approval systems are crucial for organizations that need to monitor and authorize data changes before they are saved, and in companies with complex structures, this often requires multi-stage validation. Such entities need process management tools that ensure data security and control over changes.

Comarch Data Editor allows you to create dedicated approval systems (workflow) in which data is approved at various stages by the appropriate persons. This process streamlines the data lifecycle and ensures data accuracy. For example, budget changes can be authorized at various stages by data analysts, controllers, and department managers. Importantly, every modification is documented and a message about it is available for review at any time in Comarch Data Editor. This ensures data protection, auditability of changes, and improves the quality of processes within the organization.

Setting realistic targets for sales, production or finance teams requires accurate and consistent data on historical performance and future forecasts.

Comarch Data Editor allows you to precisely define and adjust targets in real time. With the ability to group and filter information from different systems, users can create and monitor targets tailored to the company's business models. In addition, the solution enables flexible management of bonus factors and their integration with transaction data, which translates into increased operational efficiency, effective management and better decision making.

Data migration between different systems often results in inconsistency or gaps in the final system. This process is crucial for organizations when updating systems or implementing new solutions.

Comarch Data Editor enables data quality management during database migration. It features mechanisms for mapping, duplicate removal and data cleaning. This ensures that migration is carried out in a controlled manner and in accordance with the defined data lifecycle.

Accurate cost allocation across projects, departments, or products holds key importance for effective budget management and financial control. Dispersed and inconsistent data can lead to wrong financial decisions.

Comarch Data Editor allows you to assign costs to the appropriate responsibility centers based on transaction data and rules established by the organization. The tool also enables dynamic correction and monitoring of changes in these allocations.

The budgeting process requires data integrity and consistent information about costs and revenues, which are often stored in different formats and sources. The need to manually combine this data often leads to errors and reduces operational efficiency. The ability to create flexible budgets in real time is the foundation of effective financial management across the enterprise.

Comarch Data Editor supports the budgeting process by integrating and improving the quality of data from various sources and systems. It enables dynamic management of budget-related data, allowing for adjustments, divisions, and the creation of custom groupings based on transaction and master data. Effective use of budget data will also enable accurate forecasting and financial planning.

In many companies, decision-making is based on detailed data analysis, which often requires custom groupings or segmentation. Data analysts and managers in particular need tools that allow them to quickly adapt data to specific business requirements.

Comarch Data Editor allows you to create custom groupings and segmentations of data that meet the specific needs of your organization. Users can create their own categories, filters, and dedicated views of data in various formats and systems. Such data can be used to create dedicated reports and personalized analyses.

Managing data dictionaries, especially those containing product or customer data, is crucial for maintaining data consistency, however, errors or duplicates may appear in company dictionaries.

Comarch Data Editor allows for easy editing, standardization and updating of dictionaries. The tool also supports the integration of data from various sources, which allows for maintaining data consistency across the entire enterprise.

Comarch Data Editor enables precise mapping of data between different sources and formats, as well as their conversion into a uniform structure. The process is supported by an intuitive interface and mechanisms that automate data management.

Comarch Data Editor offers real-time changes tracking. The changes history preview provides full transparency and allows the user to monitor when and who made specific modifications to the database. Documenting changes and analyzing their history are key aspects of the data quality management process.

In many organizations, processes related to data management and data quality improvement require cooperation between IT departments and business users who expect to be provided with a ready-to-use environment where they can independently supplement data or correct errors.

Comarch Data Editor allows for quick and effective preparation of the environment for end users, providing them with secure and intuitive access to data in real time. Thanks to the ability to define views, assign permissions and implement approval systems, end users can enter, complete and correct data without the risk of compromising data integrity.

For example, the finance department receives an environment prepared in Comarch Data Editor, where it can independently update transaction data, verify product dictionaries, and supplement missing customer data. Thanks to the built-in approval system and changes history, managers have full control over data accuracy.