The integration of heterogeneous data from various sources brings up multiple challenges. Accomplishing these tasks is mandatory for the success of BI projects and the sustainability of dispositive information systems. Working with market-leading ETL- and EAI-technologies on one hand, but also proper modelling, the use of standards, best practices, data warehouse-patterns and elaborated governance are our key success factors in building stable and high-performance data integration solutions.
REPORTING & ANALYSIS
We ensure that already in the early stages of building or transforming dispositive information systems the full potential of the designated BI tools are considered. Focusing on ergonomics and user-friendliness on the one side and performance on the other, we help that with the new solution the effort for access, research and rework of information are minimized. Long-term practical experience, continuous professional trainings and close partnerships make us a trusted advisor for business intelligence- and performance management-product suites of market leading suppliers like IBM, SAP, SAS, Oracle and Microsoft.
Our consultants are experienced in the conceptual design of planning-processes and have the know-how to technically implement these planning frameworks with high-performance software. Reeeliance helps clients developing planning solutions that minimize administrative and organisational efforts and shorten planning cycles. Flexible what-if-analysis capabilities allow simulating different scenarios and their effects. That provides our clients with transparency about alternatives, enabling them to adapt their strategy and actions to changing conditions - in time.
Apart from defining a comprehensive data governance, we accompany our clients through every step of building up an appropriate data quality management infrastructure. We assist in defining data quality requirements that can continuously be measured, in order to identify and introduce required quality improvements in the earliest possible stage. This is encompassed by tools for data quality analysis (data profiling) and automated data correction (data cleansing) which will be designed to fit in seamlessly into the given data integration processes.
BIG DATA & PREDICTIVE ANALYSIS
Big data and predictive analysis have the potential to provide significant value - given it is used the right way and in the right context. Identifying relevant scenarios and a sound design on how to apply the most suitable technology is crucial for the success of these projects. We support our clients in their big data and predictive analysis projects, allowing them to gather valuable information from large, unstructured volumes of data and to generate new knowledge from existing data through powerful algorithms for data and text mining.
While it is not technology that solves problems, the design of the technical infrastructure has a significant impact on the performance of the allocation of data and the speed of analysis and reporting applications. Therefore the acceptance of dispositive information systems depends to a large extend on a highly productive infrastructure. Be it classical data-warehouse architectures based on conventional relational databases or new approaches like the use of data-warehouse appliances like SAP Hana, IBM PureData (Netezza) or Exasol - we make sure that different architectural alternatives are considered early on, leading to optimal infrastructural decisions and to the design of sustainable high-performance architectures.