Struggling with siloed information delivery, different definitions for key performance metrics, and challenges measuring and reporting top-level performance and impacts, a state agency sought help from Sense Corp. The agency needed to develop an overall strategy, data analytics roadmap, and implementation plan to further its goals, properly manage its information assets, and deliver better insight to the business.
To achieve the agency’s goals, the Sense Corp team leveraged our proven Project Assessment Methodology and proprietary Data and Analytics Program Framework to provide the following services:
Assessed current data capabilities and utilization
Our team completed 45 interviews with 80 participants and performed artifact review and system analysis. Using the information gathered, Sense Corp then produced a written document outlining current practices in the following areas:
- Data systems, use, content, and governance
- Utilization and integration of external data
- Data security, privacy, and data sharing
- Data storage and classification
- Data governance
- Data analysis tools and other technologies
Sense Corp also produced an agency-wide master catalog of all data sources by division with accompanying volumetric, technical, access, reporting, analytical needs, and uses of the data.
Defined future-state vision, including benchmarks and industry best practices
Leveraging team expertise and industry literature, the team produced a written document detailing benchmarks and best practices for utilizing data, analytic tools, and technologies in business intelligence and operations within relevant industries.
Leveraging the industry best practices as a foundation, Sense Corp then interviewed agency executives to develop seven vignettes that illustrate what a data-driven organization looks like for the agency and the infrastructure and governance required to meet the objective.
Identified gaps between current practices and future state vision
The Sense Corp team analyzed the gaps between the agency’s current data practices and the future state vision of a data-driven agency. The team documented the findings in a written document that detailed the gaps, including resources skill sets and process constraints, across:
- Data quality, governance, and utilization (including the use of external data)
- Data technology infrastructure and tools
- Resource allocation within the agency’s analytics department
- Staff subject matter expertise within analytics and in information technology support of analytics programs
Developed a strategy and an implementation plan to address the identified gaps
Leveraging our team’s practical implementation experience gained through hands-on execution of complex analytics programs, the team provided a strategic roadmap that included both an overall strategy and a pragmatic implementation plan across the people, process, and technology components required to achieve the agency’s objectives.
The strategic roadmap included specific recommendations for:
- An appropriate data literacy training plan for executives and business unit staff
- An appropriate governance program and structure for a Data and Analytics program that included establishing a data office and hiring a chief data officer
- The necessary infrastructure, including staff and technology tools required to support the data strategy and goals(e.g., centralizing all data leveraging data virtualization and distributed computing clusters)
Additionally, the strategic roadmap outlined specific plans for:
- Implementing staffing, governance, and technology tools with accompanying prioritization of tasks and procurement recommendations
- Defining change management activities needed to establish a data-driven decision-making culture
- Developing a metadata strategy
Leadership is now armed with a tailored roadmap and pragmatic implementation plan to properly manage its information assets and achieve the agency’s goal of becoming a data-driven organization. The implementation plan includes actionable next steps to kick-start the organizational transformation and achieve the following objectives:
- Help internal staff, external customers, and business partners acquire, understand, and use data
- Establish organizational and staffing models designed to facilitate and operationalize the agency’s analytics efforts, including a cultural change plan to drive collaboration between IT and business divisions
- Establish policy and operational analytical processes that foster a culture that both maintains the integrity of the data and drives data-informed decision-making
- Determine the most appropriate toolsets for each user type (e.g., business, policy, operational, etc.) for routine, ad hoc, and specialized reporting; data-based decision-making, as well as complex data analytics projects and analyses
The agency leadership is also equipped with both the understanding and impactful messaging for communicating the importance of moving to a data-driven organization and the tools for guiding the organization through this journey. Additionally, as the agency looks to prioritize various data related efforts, decision makers can effectively evaluate choices and determine what options will provide the most strategic outcomes.
Sense Corp offers a variety of consulting services across data, digital, and business transformation. Our team of skilled consultants offer insights and solutions to the most important problems facing business and government. To learn more about the services we offer, visit our website or contact us.