We know data. finance. IT. How can we support your business?
Using Metastudio DRM, we will create a centralised solution: reference data management, standard value lists, data processing and validation rules, concept definitions, mapping algorithms and control parameters.
Centralisation is not just about replacing hundreds of .xls files circulating within the organisation. It also involves format unification, name standardisation, control and value validation. This improves quality and eliminates ambiguities in reports or dependent systems.
Thanks to the permission system, reference dictionaries are only available for editing to the units responsible for them. The change history, on the other hand, allows for the automation of historical reporting and an accurate audit trail.
We will build, streamline and increase the efficiency of processes for feeding data warehouses, report databases and data sets used by other systems or business processes.
The key to increasing efficiency is the automation of mappings, parameterisation of processing, validation rules and quality verification.
When creating processes, we use standard ETL solutions with business parameterisation managed by specialists.
An alternative to tedious, costly and time-consuming manual data preparation processes is to build a solution that will automate many of these processes.
Using ETL tools and Metastudio DRM, we will prepare a solution that automatically maps data and validates its correctness and completeness. Numerous supplementary data dictionaries will automatically enrich the data necessary for the external system.
Iterativity and repeatability are characteristics of processes that prepare data for migration, conversion or consolidation. The main challenges in these processes include: adapting data formats and standards to the requirements of target systems, improving quality, supplementing data with missing attributes, and multi-condition mapping and processing.
An alternative to tedious, costly and time-consuming manual data preparation processes is to build a solution that will automate many of these processes.
Using ETL and Metastudio DRM tools, we will prepare a solution that automatically maps data and validates its correctness and completeness.
Thanks to numerous supplementary data dictionaries, we will automatically enrich the data necessary for the external system.
An advanced permissions model, accurate change logging and versioning allow designers to refine processes during the project and auditors to verify algorithms and processing sources.
Data governance is based on issues related to data quality, completeness and unambiguity.
Using the Metastudio DRM application, standard ETL tools and reporting systems, we will build a solution that standardises data, automates completeness validation and monitors data quality.
Quality management processes will be fully controlled by data managers and managers responsible for quality control in specific units or branches of the company.
This will be possible thanks to the use of numerous dictionaries containing the parameters of such processes and making them available to business specialists for management purposes.
Are you concerned about your team’s increasing involvement in organising the data they receive?
Are you dissatisfied with the quality of the reported data?
Are you determined to do something about it, but don’t know where to start? Let’s begin with an overview of the main processes.
Select an area where you see a need for priority improvements or observe challenges with data quality. Within a few days, we will review the process and present the results of the analysis.
Our report will include key insights and conclusions from the analysis, as well as recommendations for specific short-and long-term improvements in the selected area.
The recommendations will take into account existing systemic and organisational conditions so that they can be implemented in the most effective time frame to achieve results.
What can we accomplish together?
Reduced preparation time and improved quality of consolidated reports.
Security of standardisation and control over parameter changes only by authorised teams.
Transfer of business data parameterisation to the responsibility of the relevant teams in the organisation.
Transparency and auditability of data migration, conversion and integration processes.
Elimination of manual data preparation processes for other systems.
Adaptation of reporting processes to changing business needs and conditions.
Greater efficiency and reduced risk of errors in data mapping processes for consolidation and migration.
Increased reliability of data and reports.
