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Data Quality is the turbocharger for Corporate Performance Management (CPM)
Business Intelligence (BI) solutions are indispensable to corporate decision-makers as a basis for business decisions. Whereas these normally use reporting to tools analyze and evaluate past events, unfavourable developments and problems, Corporate Performance Management (CPM) and Business Performance Management (BPM) are future-oriented approaches for optimizing operative and strategic corporate processes. In this respect, planning data is compared with real key process indicators, in order to check the efficiency of the business processes and adapt them as quickly as possible, always with the goal of increasing the performance and added value of the company. It's no wonder that the key to success is maximum data quality in the Data Warehouse as a source for CPM solutions.
Challenges
Incorrect, out-of-date or duplicate data falsifies important key figures
CPM is focused on the key figures (Key Performance Indicators/KPI) of the company. They represent the quantitative performance of a department or the entire company and form the basis for the permanent monitoring, analysis and optimization of the business processes. In contrast to Business Intelligence, other dimensions such as customer satisfaction, the value of trademarks and patents or the motivation of employees play a role in CPM and not just financial indicators and throughput times. Since countless IT systems from different departments have to supply data here, incorrect, out-of-date or duplicate data can have a devastating effect on the precision and reliability of the evaluations.
Inaccurate performance indicators lead to incorrect decisions
If your performance indicators are based on poor data quality in the Data Warehouse, incorrect results may be obtained when your planning targets are matched against the current company performance. This may mean that you incorrectly assess the performance of individual departments, business processes or the entire company and carry out the requisite optimization of operative or strategic activities too late or not at all. In this case, your forecasts may be wrong and you quickly fall behind the competition. Risk management is also affected if you incorrectly assess current weak points, which can also cause difficulties in adhering to compliance regulations.
No confidence in CPM – less efficiency in corporate planning
If the CPM system does not meet the expectations of the decision-makers as a result of poor data quality and imprecise evaluations, the excellent opportunities offered by CPM may no longer be used consistently. Bad planning and bad forecasts are the inevitable result here, since decisions are not made on the basis of key indicator analyses, but on the basis of inadequate information or even a gut feeling.
Manual data cleansing delays decisions and increases costs
If the data required for the analysis is incomplete, incorrect and inconsistent in the Data Warehouse, it has to be manually compiled, evaluated and prepared in reports. This prevents it from being matched quickly against planning targets and delays urgent adjustments of critical business processes. And you spend a great deal of money on IT resources which you could use e.g. for business-critical IT projects.
CPM is focused on the key figures (Key Performance Indicators/KPI) of the company. They represent the quantitative performance of a department or the entire company and form the basis for the permanent monitoring, analysis and optimization of the business processes. In contrast to Business Intelligence, other dimensions such as customer satisfaction, the value of trademarks and patents or the motivation of employees play a role in CPM and not just financial indicators and throughput times. Since countless IT systems from different departments have to supply data here, incorrect, out-of-date or duplicate data can have a devastating effect on the precision and reliability of the evaluations.
Inaccurate performance indicators lead to incorrect decisions
If your performance indicators are based on poor data quality in the Data Warehouse, incorrect results may be obtained when your planning targets are matched against the current company performance. This may mean that you incorrectly assess the performance of individual departments, business processes or the entire company and carry out the requisite optimization of operative or strategic activities too late or not at all. In this case, your forecasts may be wrong and you quickly fall behind the competition. Risk management is also affected if you incorrectly assess current weak points, which can also cause difficulties in adhering to compliance regulations.
No confidence in CPM – less efficiency in corporate planning
If the CPM system does not meet the expectations of the decision-makers as a result of poor data quality and imprecise evaluations, the excellent opportunities offered by CPM may no longer be used consistently. Bad planning and bad forecasts are the inevitable result here, since decisions are not made on the basis of key indicator analyses, but on the basis of inadequate information or even a gut feeling.
Manual data cleansing delays decisions and increases costs
If the data required for the analysis is incomplete, incorrect and inconsistent in the Data Warehouse, it has to be manually compiled, evaluated and prepared in reports. This prevents it from being matched quickly against planning targets and delays urgent adjustments of critical business processes. And you spend a great deal of money on IT resources which you could use e.g. for business-critical IT projects.
Solutions
Uniserv Data Quality Solutions for Corporate Performance Management (CPM) – high data quality for improving the performance of your company
Uniserv Data Quality Solutions help you to generate precise performance indicators through maximum data quality and design your business processes more efficiently and more flexibly, view the corporate development more realistically and improve the performance of your company.
Data Quality Explorer for CPM: The Explorer enables you to determine the actual state of your data before the initial transfer to the Business Data Warehouse.
Data Quality Explorer for CPM: The Explorer enables you to determine the actual state of your data before the initial transfer to the Business Data Warehouse.
Data Quality Batch Suite for CPM: The complete product suite for the fully automatic batch transfer from different data sources, transformation of the field contents and record structures, and the checking and cleansing of data during the transfer to the Business Data Warehouse.
Data Quality Real-Time Services for CPM: For the immediate protection of your data quality during the transfer of data to the Data Warehouse in (near) real-time.
Data Quality Monitor for CPM: This monitors the data quality according to defined business rules. It alerts you if specified threshold values are exceeded.
Data Quality Monitor for CPM: This monitors the data quality according to defined business rules. It alerts you if specified threshold values are exceeded.
- Profiling of new data sources before the initial transfer of the data to the Business Data Warehouse. Transfer of the data from a wide range of systems and, where necessary, conversion of the data format. Automatic duplicate recognition and clustering of name and address data.
- The data validation, enhancing and consolidation functions and the monitoring of threshold values for specified business rules supplement the data quality tool box for CPM. Uniserv DQ Explorer, DQ Batch Suite, DQ Real-Time Service and DQ Monitor are our contribution to the success of your CPM system. Only reliable and valid data can be condensed into information and knowledge which is used to derive recommendations for action.
Advantages
Profit from all Uniserv Data Quality Solutions for Corporate Performance Management (CPM) including:
- Optimum data quality in the Business Data Warehouse through analysis of the data before the initial transfer from existing data sources (Data Profiling) ) and through regular monitoring (Data Quality Monitoring)
- Reliable revision of the data (Data Cleansing) according to defined rules and by matching it against reference data (e.g. address, bank, geodata, telephone number index) in batch processing or in real-time. Current and correct data as a basis for reliable and precise matching against planning targets and performance indicators (Key Performance Indicators/KPI)
- Improved performance of individual departments and the entire company through the rapid optimization of business processes
- Realistic forecasts for corporate development which lead to informed operative and strategic business decisions
- Faster reaction to changed market conditions and internal developments
- Effective risk management and reliable compliance with statutory requirements and internal regulations through precise, complete and transparent reporting
- Reduced costs through automated protection of the data quality and reduced costs for merging and maintaining data stocks
