Enterprise Data & Information Capabilities Maturity Assessment.
Strategic Data Management Capabilities Planning.
Strategic Information Delivery Services Capabilities Planning.
SWOT Analysis and Roadmap Development.
Data is an essential resource for every day operations, and for supporting management in making key decisions in the running of the business. Poorly managed data quickly becomes a financial liability. Inefficiently utilized data cost businesses millions of dollars every year in lost productivity and missed opportunities.
It’s critical for all businesses to have the capabilities to successfully monetize their data into financial profitability. This requires having the ability to transition raw data into valuable informational services that can be leveraged to reduce operational costs, increase revenue, and grow market share. As with all corporate assets, data assets require strategically planning and management in order to extract maximum business value from it.
Enterprise strategic planning is practiced in all organizations which are serious about remaining relevant within their competitive environments. It’s necessary to define the organization's overall vision for the near and longer-term future, specifying where it wants to be, and how it will get there. A similar exercise is required to plan for the introduction and evolution of data assets and informational services to ensure support for the business’s strategic vision.
SWOT (strength, weakness, opportunity, threat) analysis is a fundamental component of the strategic planning exercise. It identifies the core capabilities that need to be introduced, evolved, and eliminated in order to ensure the continual success of the business. Distinguishing the capabilities in which the business both needs to extend, and curtail future investments. The findings of the SWOT analysis become the cornerstone for planning business and technology strategies, and preparing future decisions.
Data management and information services related SWOT analysis exercises identify capabilities that need to be introduced, sustained, and eliminated in coordination with the overall business and technology strategic plans. Each capability is prioritized together with elaborated ‘enablers' which specify “how”, “where”, “when”, and “by whom” the respective capability will be realized. The identified capabilities are prioritized and recorded within time-lined data management and information services architectural roadmaps.
Data management and information services architectural roadmaps define the strategic progression from current to envisioned target state. It maps prioritized business capabilities against enablers which need to be in place over a scheduled timeline to achieve the business’s strategic goals.
Business conditions are transient by nature. As a consequence, strategic plans have to be regularly reviewed and adjusted in accordance with changing competitive environments. This requires data management and information services roadmaps to also be periodically revisited and adapted to ensure alignment with the overall business and technology strategic direction.
The resultant strategic roadmaps become the source for planning and prioritizing multi-year programs and individual project deliveries. Assuring technology investments are aligned with the business’s overall strategic goals, and supportive of its critical success factors.
Recent data management innovations have occurred as a direct result of business informational needs. They include cloud hosted non-relational Data Lake based data warehousing and self-serve Data Visualization analytics.
Data Lakes allow organizations to capture high volumes of rapidly arriving disparate data. A capability that is unable to be supported with traditional relational databases. The data is stored in its native form upon arrival, and structured at a later time when accessed by the consumer. Allowing a greater scope of data to be collected for supporting modern analytics, machine learning, and other strategic information services initiatives.
Self-serve Data Visualization solutions allow decision makers to circumvent backlogged IT departments in addressing high-priority and time-sensitive business opportunities. They empower business users with the capabilities to independently source, process, and generate graphically rich decision support services, which can be simultaneously disseminated to local and remote decision makers for access via either their on-premises or mobile devices.