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Seven data wins: critical steps for banking with seamless reference data
Data has historically been considered as simply a by-product of business systems. At financial institutions and at global banks in particular, the approach to data, and especially reference data, has...
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Seven data wins step #2: Establish data governance with clear...
The governance model is a founding pillar for any large-scale programme of transformation such as upgrading a firm’s data management processes and infrastructure. However, in the politically-charged...
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Seven data wins step #3: Create vision, ensure it is socialized and sold to...
Very often the technology footprint in a large financial institution is a spider web of legacy technology with multiple inconsistent data sets, distribution methods and downstream systems lacking...
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Seven data wins step #4: Establish team, clear accountabilities, define...
Multiple IT teams manage reference data within financial institutions. In many cases, there will be one team serving the front office, another supporting the opening of accounts and on-boarding of...
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Seven data wins step #6: Establish a clear partnership with vendor
The relationship between an end-user organisation and its technology vendor is of critical importance to a programme of major transformation. Establishing a strong rapport and working in partnership...
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Seven data wins step #7: Ensure execution
The final and arguably most pivotal stage of any major transformation programme is the execution. This marks the point at which a programme’s inherent risks could become manifest and is where...
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Seven data wins: Reduce cost and risk and enhance efficiency with optimized...
If you have been following our blog series on delivering firm-wide data management initiatives, you should now be equipped with a firm appreciation of the seven critical steps that a programme of...
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