PRIME DIMENSIONS. Revealing insights. Shaping the future.

Transcription

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 Define roles and responsibilities Formalize data policies, processes, and relationships between data and associated business rules Metadata Management Identify tools to generate, manage, and discover metadata to achieve enterprise information integration Data Quality Apply 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 Accelerators Improve performance through advanced clustering and partitioning algorithms

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: 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

8 Typical Analytical Environment Analytical and reporting silos Slower to adapt to business needs Non-standard and redundant technology Higher hardware, software, and operating costs

9 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

10 Healthcare Analytics Understanding the DNA of Healthcare Data

11 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.

12 Create actionable business intelligence through cycles of design thinking and prototyping Confirm Observe Ideate Observe Ideate GOAL Act Prototype Observe Ideate Act Prototype Explore Act Prototype Low MISSION/BUSINESS VALUE Database Platform On-Demand Infrastructure High

13 Mission Oriented Analytics Framework Innovations Value Proposition Portfolio Management Governance Policies Business Case Problem Statement Actionable Insights Columnar In-Memory NoSQL MPP Open Source Commercial Risk Compliance Multiple Platforms Rich Content Visualizations

14 Evolving On-Demand Infrastructure for Big Data Analytic Applications YARN Tez ANALYTIC OFFLOAD Advanced Analytics Predictive Modeling Forecasting Optimization NOSQL DATABASE Scale-out REST/JSON APIs Storm Ambari E-L-T Key-value Store Document Store Graph Store Dashboards & Visualizations ANALYTIC DATABASE Scale-up E-L-T In-memory Columnar Store OLAP HCatalog Data Warehouse Augmentation (SQL on Hadoop) Data Warehouse E-T-L Data Discovery Multi-structured And Stream Source Data Structured Source Data

15 Evolving On-Demand Infrastructure for Healthcare Analytics PHM HIE CCP Predictive Modeling Forecasting CDSS Analytic Applications REST/JSON APIs HRA Advanced Analytics Optimization HIE Health Information Exchange PHM Population Health Management CCP Care Coordination Portal HRA Health Risk Assessment CDSS Clinical Decision Support System Analytic Offload NOSQL DATABASE Scale-out Key-value Store Document Store Graph Store ANALYTIC DATABASE Scale-up In-memory Columnar Store Dashboards & Visualizations YARN E-L-T Data Warehouse Augmentation Data Warehouse E-T-L OLAP Data Warehouse E-T-L Data Discovery PRO Patient Reported Outcomes EHR Electronic Health Records CAS Cost Accounting Systems CPS Claims Processing Systems DM/CM Disease Management/ Case Management Multi-structured & Stream Data PRO EHR CAS CPS Source Data Systems DM/CM

16 Unified Analytics Environment Analytical Applications Actionable Insights Visualizations Multi-structured Data ELT/ ETL Stream Data Structured Data Proprietary and Confidential Information 1

17 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.

18 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.

19 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.

20 Suman Sampath Managing Director, Technical Solutions Michael Joseph Managing Partner Richard Rowan Managing Director, Client Service Mel Boskett Managing Director, Operations Dan Lisowsky Director, Business Development

21 Past Engagements Client 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.