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.

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: info@primedimensions.com
Twitter: @primedimensions
Michael Joseph Suman Sampath
Managing Partner Managing Director
mjoseph@primedimensions.com ssampath@primedimensions.com
Erika Wood Mel Boskett
Marketing Director Managing Director
ewood@primedimensions.com mboskett@primedimensions.com
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.