Prime Dimensions Capabilities


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Our mission is: transforming data to reveal business and clinical insights. We accomplish this through our data management, business intelligence and analytics consulting services. We ensure that organizations have the proper tools, technology and processes to improve performance – relative to predefined critical success factors and key performance indicators – based on greater insight and analysis through analytics. We offer a framework for establishing an Analytics Center of Excellence within organizations to define roles and responsibilities and coordinate activities and tasks among key stakeholders. With emphasis on statistical analysis, forecasting, optimization, and simulation, analytics provides results that are predictive and prescriptive, injecting clarity and confidence in decision making and improving performance through situational awareness at all levels of the organization.

Through our past consulting engagements, we observed significant challenges and short-comings in how these organizations navigate such a data-rich environment in the pursuit of analytical excellence. Based on our assessment and evaluation, we develop a roadmap for establishing an information environment that enables stakeholders to improve clinical decision-making and performance (as related to quality, outcomes, cost and utilization) through data visualizations and advanced analytics. This roadmap accounts for both structured and unstructured data, and it includes provisions for controlled data access based on security and privacy policies. We manage the transition from on-premise to cloud-based data sources and leverage the cloud as an aggregation point for creating a Big Data analytics platform. We then perform an alternatives analysis of feasible solutions based on several factors, including: delivered capabilities, ease of implementation, performance, scalability, interoperability and integration with legacy systems, and functionality -- at a cost that maximizes ROI.

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Prime Dimensions Capabilities

  1. 1. PRIME DIMENSIONS Revealing insights. Shaping the future.
  2. 2. Service OfferingPrime Dimensions offers expertise in the processes, tools, and techniquesassociated with: Data Management Business Intelligence Predictive AnalyticsOur approach helps clients reveal business insights that support decisionanalysis and performance management.Through our results-oriented, outcomes-based delivery model,Prime Dimensions provides innovative, feasible solutions for confrontingclients’ information management challenges.
  3. 3. Typical Client ChallengesIneffective Data GovernanceNo clear lines of authority among data owners, stewards, and custodians.Distributed Data EnvironmentEvolution from “data sources” to “data services” requires agile application developmentplatform to perform data discovery and retrieval.Demand for Remote Access via Mobile PlatformsEnsuring availability and security of dynamic content requires data virtualization over arationalized infrastructure.Limited Analytics FrameworkInability to generate near real-time performance measures, root cause analysis, anddata lineage.Proliferation of Big DataInability to manage the volume, velocity, and variety of data.
  4. 4. Measurable ResultsBusiness insights and analysisSituational awareness through monitoring and evaluationInformation environment aligned with business goals and objectivesIntegration with line-of-business applications and legacy systemsEnterprise information-sharing and collaborationMaximum return on investment (ROI) and benefits realizationEnhanced analytical capabilities
  5. 5. Data ManagementOur 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. 6. Business IntelligenceOur 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. 7. Predictive AnalyticsOur 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. 8. Architecture AssessmentWhat 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/orETL 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. 9. Typical Analytical Environment Analytical and reporting silos Slower to adapt to business needs Non-standard and redundant technologyHigher hardware, software, and operating costs
  10. 10. Optimized Analytical Environment Slide 10 graphs query delivered...intelligence analyzed... Unified view of enterprise data Direct access to multiple data sources High “analysis to integration” ratio Analytical excellence
  11. 11. Analytics Strategic Roadmap Define Develop Define Assess Requirements Prioritization Future State Business Case RoadmapObjective 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 andKey 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. 12. Analytics FrameworkAGILE BI SOLUTIONS MANAGE AND ENABLE DECISION SUPPORT OPTIMIZE INFORMATION SHARINGMash-Up ToolsPortal Technologies Collection Enterprise Dashboards PERFORMANCE MANAGEMENT Integration Common LOB ApplicationsDevelopment Platform Distribution Delivery MONITORING AND EVALUATION AGGREGATE DATA AND ORGANIZE Heterogeneous Root Cause Analysis Disorganized Peripheral Private Forecasting Idle KPIs
  13. 13. Healthcare AnalyticsUnderstanding the DNA of Healthcare Data
  14. 14. Healthcare AnalyticsPrimary Focus Areas Chronic Disease Management Emergency Room Utilization Hospital Readmissions Payment ReformProper application of healthcare analyticsdrives effective solutions that balancequality of care, patient outcomes, and costof services.
  15. 15. Client EngagementOur consulting engagements first begin with understanding our clients’environment and identifying problem areas.We perform in-depth market research and benchmarking to leverageindustry best practices.We utilize a multiple-perspective approach to understand clientrequirements to capture the essence of the work to be performed.We partner with clients to build trust and establish clear lines ofcommunication.Well-defined and streamlined processes are essential to consistentlyproviding organized, uniform deliverables to our clients.
  16. 16. Core ValuesEthical. 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. 17. In ConclusionOur complex, data-driven world necessitates that organizations leveragevital information assets to reveal business insights and pursue analyticalexcellence.We deliver the processes, tools, and techniques required to establish ananalytical framework that yields improved performance and results basedon greater insight and analysis through predictive analytics.Our people bring proven leadership, management experience, andtechnical expertise critical to successful consulting engagements.
  18. 18. Contact Information Phone: 703.861.9897 Email: Twitter: @primedimensions Michael Joseph Suman Sampath Managing Partner Managing Director Erika Wood Mel Boskett Marketing Director Managing Director mboskett@primedimensions.comPRIME DIMENSIONS Revealing insights. Shaping the future.
  19. 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. ImplementedDepartment 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 performanceDepartment 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.