Data Manager

Having access to trusted data is fundamental to driving business agility. Using company-wide data best practices – and in coordination with the business architect – a data manager can leverage a variety of capabilities to help ensure that the organization can quickly respond to any opportunity or disruption by leveraging a complete, accurate and contextualized enterprise data set.

KEY CHALLENGES:

• Aligning all investments with strategy. Traditional planning approaches see a disconnect between the enterprise wide, top-down planning approach to setting goals and objectives, and the bottom-up, often siloed, approach to defining the projects and initiatives that are supposed to deliver on those goals and objectives. This results in the wrong work being approved and funded, resources committed to areas that simply cannot deliver, and an underperforming organization.

• Harmonizing across all project execution styles. Organizations today have to deal with the tri-modal reality of delivery. Work is delivered using traditional, waterfall project management, agile and ad-hoc methods.  There is frequently difficulty in monitoring performance and managing resources across those different approaches, resulting in incomplete pictures of what’s happening.  This leads to delayed and flawed decision making and hurts overall performance.

• Benefits realization and outcome management. Organizations only succeed when their investments generate a return. Yet many organizations struggle to not only measure performance, but even define effective and appropriate metrics. This is especially true for non-financial metrics. Organizations that can’t measure performance, can’t confirm that benefits have been realized and can’t take actions to correct shortfalls.