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ENTITY WHITE PAPER IS EFFECTIVE DATA GOVERNANCE A CHOICE OR A NECESSITY IN FINANCIAL SERVICES TODAY?<br />

Assessment will lead to recommendations in order to achieve a desired future state, and<br />

these recommendations will need to be prioritised as part of a Data Governance roadmap.<br />

The programme should deliver value incrementally and ultimately lead to Data Governance<br />

maturity across the entire organisation. Data Governance should become part of the DNA of<br />

the organisation and not a separate function.<br />

Failure to understand the gap between as is and to be and failure to measure processes and<br />

progress will inevitably lead to programme failure. Most organisations have an idea that<br />

they are not where they want to be, but not where that is or where they are. They never<br />

understand how to get there.<br />

It is important that all of the stakeholders across business units are involved in the<br />

assessment; ideally from business functions that will be improved by Data Governance,<br />

identified when defining the business problem.<br />

A Maturity Assessment should not be a one-off event. It should be conducted at regular<br />

intervals, to measure progress along the Data Governance Maturity Curve for the data<br />

relevant to the particular business issue being solved.<br />

The results of a Maturity Assessment should be documented and presented to senior<br />

decision makers, outlining next steps and priorities key to the success of the Data<br />

Governance programme. This helps to ensure continued buy-in and sponsorship.<br />

BUILD A ROADMAP<br />

Rolling out an effective Data Governance framework and discipline across a complex<br />

organisation is not simple, cannot be done overnight, requires buy in from multiple<br />

SOLUTION<br />

stakeholders and involvement from teams across the entire business. For these reasons, it<br />

is impossible to undertake a big bang approach to programme execution. Also, Executive<br />

Sponsorship tends to be predicated on successful delivery on an incremental basis and<br />

wanes rapidly if this is not forthcoming.<br />

The business problems to be solved, together with the Maturity Assessment, allow the<br />

identification of a reference architecture to support the strategic aims of the business. A series<br />

of smaller, prioritised by business case, more tactical projects can then be defined within the<br />

confines of an enterprise programme that deliver the strategy but in incremental units.<br />

These early wins facilitate continued Executive Level sponsorship as success and measurable<br />

Return-on-Investment give confidence that resources are being allocated appropriately.<br />

The roadmap should highlight the types and timings of Data Governance projects that<br />

deliver value on an incremental basis. Each project should stand to win its right to resources<br />

based on the strength of its individual business case within the programme structure. Key<br />

stakeholders should agree and understand which data domains will be governed (meta<br />

data, reference data, master data (customer, account, product, etc)) and how implementing<br />

policies and processes around them will impact and contribute value to the business.<br />

Drawing up a heatmap presenting a two dimensional matrix of all of the ‘information pains‘<br />

identified during the Maturity Assessment, with business value on one axis and investment<br />

on the other, provides an objective mechanism to prioritise implementation. It is an effective<br />

mechanism to derive and manage the programme roadmap over a period of time.<br />

6<br />

The Maturity Assessment enables Executive Level management to visualise the data maturity<br />

of key factors including data quality, data security, data auditability, data consistency, data<br />

accessibility and data availability across the organisation. Together with the heatmap, it<br />

enables the organisation to create the optimum roadmap for tackling projects incrementally<br />

with a view to deriving maximum business benefit as soon as possible.

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