Prime Dimensions Capabilities
- 1. PRIME DIMENSIONS Revealing insights. Shaping the future.
- 2. Service Offering Prime Dimensions offers expertise in the processes, tools, and techniques associated with: Data Management Business Intelligence Predictive Analytics Our approach helps clients reveal business insights that support decision analysis and performance management. Through our results-oriented, outcomes-based delivery model, Prime Dimensions provides innovative, feasible solutions for confronting clients’ information management challenges.
- 3. Typical Client Challenges Ineffective Data Governance No clear lines of authority among data owners, stewards, and custodians. Distributed Data Environment Evolution from “data sources” to “data services” requires agile application development platform to perform data discovery and retrieval. Demand for Remote Access via Mobile Platforms Ensuring availability and security of dynamic content requires data virtualization over a rationalized infrastructure. Limited Analytics Framework Inability to generate near real-time performance measures, root cause analysis, and data lineage. Proliferation of Big Data Inability to manage the volume, velocity, and variety of data.
- 4. Measurable Results Business insights and analysis Situational awareness through monitoring and evaluation Information environment aligned with business goals and objectives Integration with line-of-business applications and legacy systems Enterprise information-sharing and collaboration Maximum return on investment (ROI) and benefits realization Enhanced analytical capabilities
- 5. Data Management Our Data Management services include: Data Governance Manage and exercise control over data Metadata Management Define roles and responsibilities Identify tools to generate, manage, Formalize data policies, processes, and and discover metadata to achieve enterprise relationships between data and associated information integration business rules Data Quality Apply best practices and proven techniques for: Query Optimization and ETL Data Profiling Accelerators (structure, content, relationships, and rules) Data Cleansing Improve performance through advanced (correctness, completeness, and consistency) clustering and partitioning algorithms Data Remediation
- 6. Business Intelligence Our Business Intelligence services: Optimize data collection, integration, distribution, and delivery Deploy agile BI solutions using mash-up tools and portal technologies based on common development platform Extract line-of-business data from multiple, disparate systems to enable sharing data across applications Aggregate critical information to support knowledge management and enterprise search Integrate innovative data discovery and retrieval tools to manage the complexities of unstructured data
- 7. Predictive Analytics Our Predictive Analytics services: Embed forecasting, Create interactive Provide insightful trends simulation, and predictive dashboards to perform and analysis related to modeling tools in the multidimensional analysis performance, thereby solution on complex data sets reducing uncertainty and mitigating risk Aggregate on-premise and Assess and report goals, Foster a collaborative cloud data sources to status, and trends of key decision-making and create a cohesive analytics performance indicators information-sharing culture platform
- 8. Architecture Assessment What are the characteristics of data sources (size, complexity, type, etc.)? What ETL tool(s) are being used? Are queries executing efficiently? Can we improve run-time through query optimization and/or ETL accelerators? Have data quality issues been observed? If so, to what extent? Are all data sources captured in the data warehouse? What is the data warehouse architecture (Inmon, Kimball, or hybrid)? Are users able to design customized dashboards? Are they interactive? Can users publish and save report definitions for others to use? Can users seamlessly share reports? Does the system provide on-line and in-memory access? Does the system evaluate goals, status, and trends for KPIs? Do the systems perform statistical analysis, forecasting, simulation, and optimization?
- 9. Typical Analytical Environment Analytical and reporting silos Slower to adapt to business needs Non-standard and redundant technology Higher hardware, software, and operating costs
- 10. Optimized Analytical Environment Slide 10 graphs query made...data delivered...intelligence analyzed... Unified view of enterprise data Direct access to multiple data sources High “analysis to integration” ratio Analytical excellence
- 11. Analytics Strategic Roadmap Define Develop Define Assess Requirements Prioritization Future State Business Case Roadmap Objective Define Develop Enhancement Define Business Future State Roadmap Prioritization Business Case Requirements Blueprint Interview business and Develop the future state Define process and Define cost estimates Define roadmap for key technical stakeholders process vision including technology improvement for selected initiatives process/organization/ Document/validate process flows and opportunities Define estimated cost change management and Key Activities existing processes functional capabilities Determine build vs. buy savings/revenue growth technology initiative Define unit cost and Identify external systems for application Develop business case: Develop the cycle time metrics application integration enhancement B/E implementation strategy Conduct technical requirements Develop scoring ROI Milestones/dependencies assessment of existing Analyze/summarize key methodology for Identify transition plan technology functional and non- application selection as Determine integration functional gaps necessary requirements Define scorecard Define prioritization Conduct functional criteria for vendor criteria and weight requirements analysis package selection and/or appropriately: Summarize key functional requirements Risk functional and non- for existing applications Client impact functional requirements Unit cost/cycle time Cost
- 12. Analytics Framework AGILE BI SOLUTIONS MANAGE AND ENABLE DECISION SUPPORT OPTIMIZE INFORMATION SHARING Mash-Up Tools Portal Technologies Collection Enterprise Dashboards PERFORMANCE MANAGEMENT Integration Common LOB Applications Development Platform Distribution Delivery MONITORING AND EVALUATION AGGREGATE DATA AND ORGANIZE Heterogeneous Root Cause Analysis Disorganized Peripheral Private Forecasting Idle KPIs
- 13. Healthcare Analytics Understanding the DNA of Healthcare Data
- 14. Healthcare Analytics Primary Focus Areas Chronic Disease Management Emergency Room Utilization Hospital Readmissions Payment Reform Proper application of healthcare analytics drives effective solutions that balance quality of care, patient outcomes, and cost of services.
- 15. Client Engagement Our consulting engagements first begin with understanding our clients’ environment and identifying problem areas. We perform in-depth market research and benchmarking to leverage industry best practices. We utilize a multiple-perspective approach to understand client requirements to capture the essence of the work to be performed. We partner with clients to build trust and establish clear lines of communication. Well-defined and streamlined processes are essential to consistently providing organized, uniform deliverables to our clients.
- 16. Core Values Ethical. We operate with the highest level integrity and professionalism. Principled. We strive to do the right thing in every situation. Passionate. We care deeply about our clients’ issues. Practical. We propose and implement feasible solutions that endure. Collaborative. We seek out, listen to, and team with our clients to serve as a trusted advisor. Proactive. We remain forward-focused and attentive to situational awareness. Invested. Our success is tightly coupled with performance and client satisfaction.
- 17. In Conclusion Our complex, data-driven world necessitates that organizations leverage vital information assets to reveal business insights and pursue analytical excellence. We deliver the processes, tools, and techniques required to establish an analytical framework that yields improved performance and results based on greater insight and analysis through predictive analytics. Our people bring proven leadership, management experience, and technical expertise critical to successful consulting engagements.
- 18. Contact Information Phone: 703.861.9897 Email: [email protected] Twitter: @primedimensions Michael Joseph Suman Sampath Managing Partner Managing Director [email protected] [email protected] Erika Wood Mel Boskett Marketing Director Managing Director [email protected] [email protected] PRIME DIMENSIONS Revealing insights. Shaping the future.
- 19. Past Engagements Client Value-Added Services Supported the Clinical Data Integration team. Responsible for managing multiple, strategic projects related to healthcare analytics and informatics. Provided expertise in the development of clinical and population analytical models based on various Blue Cross/Blue Shield data aggregations. With this information, the client could identify high cost/high risk members who would benefit from clinical Association (BCBSA) interventions, then determine the type and frequency of interventions and recommend strategies for reaching and engaging those members. Provided trends and insights for enacting proactive measures associated with minimizing emergency room utilization and hospital readmissions. Supported development of an analytics framework to improve decision analysis and performance management. Implemented Department of Veterans policies and processes related to data governance, data management, and businessscorecards. Conducted alternatives analysis of intelligence. Streamlined the process for generating standard and ad-hoc reports, enterprise dashboards, and performance Affairs (VA) enterprise reporting solutions. Improved reporting deficiencies in key metrics for enrollment services, eligibility determination, and claims processing. Recommended solutions for developing enterprise reporting and enhanced analytical capability for budget analysis and portfolio management. Implemented tools for analyzing core metrics and evaluating goals, status, and trends of key performance Department of Education indicators. Prepared data flow diagrams, data models, and data quality metrics to improve data collection and integration. Assisted business users in extracting data from disparate sources for inputs into the budget formulation process. Defined functional and technical requirements for the financial management system replacement and integration with existing Nuclear Regulatory enterprise data warehouse and reporting tools. Prepared use cases and scenarios to assist in source selection evaluation Commission (NRC) criteria. Documented as-is processes, business transactions, and shared data elements for line-of-business applications, including Acquisition, Budget, Accounting, and Human Resources. Developed a roadmap for establishing a cloud-based information environment that enables distributed users to improve decision-making, collaboration, and performance through data visualizations and advanced analytics. This roadmap accounted for Federal Bureau of both structured and unstructured data, and it included the provisions for controlled data access based on security and privacy Investigation (FBI) policies. Provided information management advisory services to program managers, particularly in the areas of data management, business intelligence, and analytics. Translated end-user needs into functional requirements and aligned with business strategy and capabilities.