Enterprise Capabilities

  • Enterprise Data & Information Capabilities Maturity Assessment.
  • Strategic Data Management Capabilities Planning.
  • Strategic Information Delivery Services Capabilities Planning.
  • SWOT Analysis and Roadmap Development.

Data is a critical resource for all lines of business. It's essential for transacting business and servicing management with the necessary information to successfully conduct operations. Poorly managed data can quickly become a financial liability for the organization. Inefficiently utilized data resources cost businesses any where between hundreds of thousands, to millions of dollars every year. It goes without saying that its essential for businesses to have the capabilities to successfully monetize their data resources into financial profitability. This is accomplished through transitioning their raw data into valuable informational services that can be utilized by decision makers to reduce operational costs, increase revenue, and grow market share. As with any corporate asset, diligent enterprise level strategic planning is essential in being able to successfully convert data resources into data assets.

Enterprise level strategic planning is essential for any businesses which wishes to remain relevant within its competitive environment. It defines the organization's vision with respect to where it wants to be, and how it will get there. A similar strategic exercise is necessary to plan for the introduction and evolution of data and informational resources and competencies required to support the organization's business vision.

SWOT (strength, weakness, opportunity, threat) analysis a key component of strategic planning. It allows to identify the core capabilities that the organization either has to introduce, expand, or eliminate in order succeed and thrive within its competitive environment. The outcome of the SWOT analysis drives both business and technology executive level planning.

The findings of the SWOT analysis helps to prioritize areas of the organization within which to increase investment and curtail expenditure. This becomes the cornerstone for planning and executing strategic business and technology capabilities.

Data management and information services SWOT analysis is conducted to identify the capabilities that need to be introduced, sustained, and disposed in accordance with the business’s strategic vision. The capabilities are then elaborated by specifying the 'enablers' that describe “how”, “where”, “when”, and “by whom” they will be realized.

The resultant data management and information services architectural roadmap describes the progression from current to target state over an incremental period of time. It is incorporated into the overall enterprise architecture strategic plans to ensure it is aligned and supportive of the overall technology capabilities required to successfully achieve the business's strategic goals.The roadmap is decomposed into work packages which are planned into multi-year programs and individual business capability enabling projects.

The enterprise technology capabilities are reviewed on a periodic basis to ensure their continual alignment with the business's evolving strategy and vision. This ensures corporate technology assets are being utilized in a way that allows the business to sustain a competitive edge over its rivals. Recent evolutions within the data management and information services domain have included the introduction of data lakes to complement relational databases, and the advent of self-serve data visualization dashboards as an alternative to IT managed management reporting.

Data lakes have allowed to capture and manage high-volumes of rapidly arriving non-relational business data that is able to be stored in its native form, and later curated in accordance with the consumer's informational needs. Avoiding the traditional delays associated with having to model and implement relational data structures prior to receiving the data.

Self-serve decision support capabilities enable business users to utilize data visualization technologies to directly source, process, and present graphically rich analytics to a geographically disparate decision making community. Overcoming the delays associated with traditional IT managed reporting services, especially in accommodating time sensitive decision making needs.  

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