Self-Service Analysis | Real Business Intelligence

Embracing Visual Integration

Increasingly, we are fielding requests to assist clients with data integration strategies. The first thing we do is ask what the term  integration means to them. Typically, it’s loaded with a sense of foreboding and dread. Integration doesn’t have to be a dirty word.  We have helped a number of clients take inventory of their assets and challenges by pooling data from multiple systems in one dashboard, without synchronizing or duplicating source data  throughout. We call this Visual Integration

iCHARTER has proven an invaluable tool as clients look beyond assumptions, adjust to trends and plan their next steps in tackling the torrents of data produced through their processes and applications. Whether in the cloud or on-premise,  Visual Integration  helps organizations get a handle on the volumes of data they encounter in less time and with less effort.

Combining charts and reports from multiple systems of record, our clients make sensible inferences and spot outliers easily, while checking against other relevant data pools. This is especially useful when examining cross-departmental efficiencies and  dependencies. Addressing data visualization prior to implementing synchronization between systems or migrating data from one system to has saved a lot of effort and expense.  Firms can integrate systems without directly matching records, as long as they have the ability to perform ad hoc analysis and quickly assemble dashboards fusing data between multiple sources.

Visual Integration


Self-Service Analysis fosters dynamic collaboration for management and employees. They are now able to access and augment their own analysis —without additional resources or IT investment. iCHARTER instantly translates every view or table in your data assets, identifying dates, units and filters, then builds the charts without any instruction.

By extending the value of your data assets with Visual Integration, true Self-Service Analysis markedly reduces the cost and complexity associated with developing decision processes while increasing the speed with which analysis is consumed and decisions are made

Give us a call.  We are happy to help.



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