Ideally, the integration of all applications to support reporting processes is based on a standardized and integrated data model. But common practice still unveils manual adjustments and manual reconciliation of independent reporting processes and between divisions in large corporations. Consequently, this can only lead to inconsistencies as well as manual and time-consuming corrections and re-processing.

Integration or automated adjustment of e.g.

• financial consolidation and management reporting

• finance instruments, capital investments and balance sheet accounts

• production controlling, KPIs of supply chain, inventory and quality

• information about actual, plan and forecast

• inter-company transactions

enable the unlimited control of all relevant aspects concerning the total process: a large area ranging from data entry and data validation, consolidation and data warehousing to operative and strategic performance reporting including management cockpits.

Integration into your business architecture

Leveraging your existing investments we are able to integrate an optimized reporting strategy in a modular way with any source or target system – or to realize automated reconciliation with parallel processes and corresponding functions. Anyway, the implementation of safety standards and the connection to existing user directories (LDAP, AD) is part of the integration into your business architecture as well as the communication and assertion of guidelines and regulations to documentation, plausibility and verifiability, along the entire reporting process and throughout the organization.

Integration of meta data

Insufficient data quality block business processes:

Successful meta data management is a strategic factor and core process and more and more companies get the idea of what this means. They recognize, that missing or erroneous meta data can delay and block all related process and information flows and therefore increase the complexity and workload of manual corrections and re-processing. But the integration and quality assurance of meta data is not predominantly a subject of IT only - it is primarily about the management and optimization of the underlying business processes. Only if continuous, automated maintenance processes and clearly defined organizational conditions are defined, best data quality can be expected.