Prime Dimensions Capabilities
19
PRIME DIMENSIONS Revealing insights. Shaping the future.
description
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.
Transcript of Prime Dimensions Capabilities
PRIME DIMENSIONSRevealing insights. Shaping the future.
Service Offering
Prime Dimensions offers expertise in the processes, tools, and techniques associated with:
Data ManagementBusiness 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.
Ineffective Data GovernanceNo clear lines of authority among data owners, stewards, and custodians.
Distributed Data EnvironmentEvolution from “data sources” to “data services” requires agile application development platform to perform data discovery and retrieval.
Demand for Remote Access via Mobile PlatformsEnsuring availability and security of dynamic content requires data virtualization over a rationalized infrastructure.
Limited Analytics FrameworkInability to generate near real-time performance measures, root cause analysis, and data lineage.
Proliferation of Big DataInability to manage the volume, velocity, and variety of data.
Typical Client Challenges
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
Measurable Results
Data Management
Our Data Management services include:
Data GovernanceManage and exercise control over dataDefine roles and responsibilitiesFormalize data policies, processes, and relationships between data and associated business rules
Metadata ManagementIdentify tools to generate, manage, and discover metadata to achieve enterprise information integration
Data QualityApply best practices and proven techniques for:
Data Profiling (structure, content, relationships, and rules)Data Cleansing (correctness, completeness, and consistency)Data Remediation
Query Optimization and ETL AcceleratorsImprove performance through advanced clustering and partitioning algorithms
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
Predictive Analytics
Our Predictive Analytics services:
Create interactive dashboards to perform multidimensional analysis on complex data sets
Embed forecasting, simulation, and predictive modeling tools in the solution
Provide insightful trends and analysis related to performance, thereby reducing uncertainty and mitigating risk
Assess and report goals, status, and trends of key performance indicators
Foster a collaborative decision-making and information-sharing culture
Aggregate on-premise and cloud data sources to create a cohesive analytics platform
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?
Architecture Assessment
Typical Analytical Environment
Analytical and reporting silosSlower to adapt to business needs
Non-standard and redundant technologyHigher hardware, software, and operating costs
Optimized Analytical Environment
Slide 10 graphs query made...data delivered...intelligence analyzed...
Unified view of enterprise dataDirect access to multiple data sources
High “analysis to integration” ratioAnalytical excellence
Analytics Strategic Roadmap
Define Business
Requirements
Develop Future State
Blueprint
Enhancement Prioritization
Define Business Case Roadmap
Interview business and technical stakeholdersDocument/validate existing processesDefine unit cost and cycle time metricsConduct technical assessment of existing technologyDetermine integration requirementsConduct functional requirements analysisSummarize key functional and non-functional requirements
Develop the future state process vision including process flows and functional capabilitiesIdentify external systems application integration requirementsAnalyze/summarize key functional and non-functional gapsDefine scorecard criteria for vendor package selection and/or functional requirements for existing applications
Define process and technology improvement opportunitiesDetermine build vs. buy for application enhancementDevelop scoring methodology for application selection as necessaryDefine prioritization criteria and weight appropriately:
RiskClient impactUnit cost/cycle timeCost
Define cost estimates for selected initiativesDefine estimated cost savings/revenue growthDevelop business case:
B/EROI
Define roadmap for key process/organization/change management and technology initiativeDevelop the implementation strategyMilestones/dependenciesIdentify transition plan
Define Roadmap
Develop Business CasePrioritization
Define Future StateAssess Requirements
Ob
ject
ive
Ke
y A
ctiv
itie
s
Analytics Framework
DATAHeterogeneous
DisorganizedPeripheral
PrivateIdle
Common Development Platform
Portal Technologies
Mash-Up Tools
AGILE BI SOLUTIONS
LOB Applications
Enterprise Dashboards
ENABLE INFORMATION
SHARING
Delivery
Distribution
Integration
Collection
MANAGE AND OPTIMIZE
KPIs
Forecasting
Root Cause Analysis
MONITORING AND EVALUATION
AGGREGATE AND ORGANIZE
DECISION SUPPORT
PERFORMANCE MANAGEMENT
Healthcare AnalyticsUnderstanding the DNA of Healthcare Data
Primary Focus AreasChronic Disease ManagementEmergency Room UtilizationHospital ReadmissionsPayment Reform
Proper application of healthcare analytics drives effective solutions that balance quality of care, patient outcomes, and cost of services.
Healthcare Analytics
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.
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.
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.
Contact Information
Phone: 703.861.9897Email: [email protected]
Twitter: @primedimensions
Phone: 703.861.9897Email: [email protected]
Twitter: @primedimensions
Phone: 703.861.9897Email: [email protected]
Twitter: @primedimensions
Michael JosephManaging Partner
Suman SampathManaging Director
Erika WoodMarketing Director
Mel BoskettManaging Director
PRIME DIMENSIONSRevealing insights. Shaping the future.
Past EngagementsClient Value-Added Services
Blue Cross/Blue Shield Association (BCBSA)
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 data aggregations. With this information, the client could identify high cost/high risk members who would benefit from clinical 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.
Department of Veterans Affairs (VA)
Supported development of an analytics framework to improve decision analysis and performance management. Implemented policies and processes related to data governance, data management, and business intelligence. Streamlined the process for generating standard and ad-hoc reports, enterprise dashboards, and performance scorecards. Conducted alternatives analysis of enterprise reporting solutions. Improved reporting deficiencies in key metrics for enrollment services, eligibility determination, and claims processing.
Department of Education
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 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.
Nuclear Regulatory Commission (NRC)
Defined functional and technical requirements for the financial management system replacement and integration with existing enterprise data warehouse and reporting tools. Prepared use cases and scenarios to assist in source selection evaluation criteria. Documented as-is processes, business transactions, and shared data elements for line-of-business applications, including Acquisition, Budget, Accounting, and Human Resources.
Federal Bureau of Investigation (FBI)
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 both structured and unstructured data, and it included the provisions for controlled data access based on security and privacy 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.
