Data Integration

Integration Fallacies

Many organizations would like to integrate external and internal data, but most of them fail to do this or only partially succeed after years of development. The differences in nature and model of the various data sources, missing commonalities in dimensions, relations and mappings between data sources are all common reasons. Further, data sources have non-unified data formats with ETL tools that are ill equipped to solve these issues. Other issues arise when organizations attempt to integrate external data sources in a central internal data warehouse often resulting in a system that is non-accessible to marketing and inflexible to change or extension.

Consequences of inaction

The consequence of ignoring these issues are multi year, and very costly, implementations. The effects can be seen in marketing departments when the inability to access and analyze data turns to frustration. Effective insights are missed and the business suffers in an invisible way, because revenue opportunities are simply not exposed.

Potential Gains

Solving this problem will elevate your marketing to a much more effective and capable level. True insights come from combined data, derived metrics from embedded analytics and true insights of growth opportunities and business blockers and drivers. The big advantage is also that our platform can be easily extended with new data sources without any disruption of the current platform. And the platform automatically refreshes with new data loads.