Strategy Developed Through Collaboration
and Integration.
Our strategy development process is founded on precision and pragmatism. We help you leverage your existing investments in data collection, integration and analysis. And we take into account your business realities – existing priorities, available resources, and current state of data management – to define practical and tailored strategies.
Our roadmaps are characterized by:
- Viable options and tradeoffs for our clients to consider
- Recommendations for an integrated information architecture
- Timelines to gauge the length of implementation projects
- Detailed cost analysis
- Testing, evaluation and refinement of the fully implemented solution
Integrating With Integrity
As data volumes grow, maintaining solid relationships with customers, suppliers and partners means improving the collection, integration and analysis of data. Thus, we take your old data and migrate it, enrich it, cleanse it of superfluous elements and improve its quality. This maximizes the quality and performance of enterprise data.
Clear Methodology, Applied Experience
DataBauhaus uses solution accelerators and pre-configured data components to deliver a number of benefits, including:
- Improved quality of data
- Integrated use of data across multiple departments or business units
- Rapid and efficient completion of data-driven business transformation projects
- Improved organizational performance based on better use of quality data
- Pre-defined data models, subject area oriented, such as customer data integration, but also industry vertical specific (banking, retail, retail pharmacy, communications)
- Pre-defined data transformation components, enabling efficient population of pre-defined solution data models
- Enterprise data modeling framework, enabling the evolution of an enterprise data architecture based on design guidelines and standards
- Data integration best practices for industry leading data integration tools
- Data integration tool augmentation, adding specific custom capabilities to enhance the functionality of data integration tools