Data Viz Helping Your Staff Become a Data Wiz Charlie Farah Director Market Development, Healthcare & Public Sector, Qlik APAC August 2017
65%?% Organizations where managers would follow their gut feel over data if the data contradicted it. Survey conducted by Qlik IAD team, Q3 2016
23%?% Organizations that routinely check the outcome of business decisions. Survey conducted by Qlik IAD team, Q3 2016
The value agenda shifts focus from: Fee-for-service Supply-driven Disconnected delivery TO Outcome-based Value-based reimbursement Connected care
Opportunities for those that embrace the Disruption The Analytics Opportunity: Unite & Transform Siloed IT systems make cost and outcomes measurement virtually impossible. - Michael Porter & Thomas H Lee
Over 2,500 global healthcare clients
Why our approach is unique A cloud-ready analytics platform See the whole story that lives within your data Innovative associative model offers self-service search and exploration for everyone, allowing people to probe the possible associations in their data, across all their data sources, to discover new insights A platform for all your visual analytics needs More than a tool, Qlik s unique platform approach enables centrally deployed guided analytics, self-service data visualization, embedded and custom built analytics, collaboration, and reporting Agility for the business user, with trust and scale for IT Flexible, governed environment that supports business and IT, allowing users to bring together and analyze their data, from their data sources, on premise or in the cloud, without restriction or limitation 8
Press Ganey Lawson Your EDW PeopleS oft Kronos Non- EHR EHRs CDC, CMS SDoH... Qlik Data Market...
Platform for all your visual analytics needs All Your People Full breadth of analytic use cases across your entire organization Guided analytics Self-service data visualization Reporting and collaboration Embedded analytics Custom analytics applications Empower all your people Data scientists, to business analysts, to developers and information and operational workers throughout the organization and beyond 10
Agility for the business user, with trust and scale for IT All Your Data Self-service without governance results in chaos full reload expensive On a trusted foundation Duplicated efforts Complicated maintenance Multiple sources of truth bad metrics un-monitored 11
Agility for the business user, with trust and scale for IT All Your Data Governed self-service drives user empowerment Monitoring Dashboard User Roles Custom Security Rules Secured Streams Section Access Secured Connections On a trusted foundation Governed Metrics Secured QVDs Custom Properties Master Items IT Provide self-service without chaos Secure, dependable data Scalability with predictability QMC Roles Best Practices Business Reliable self-service agility Trust your decisions Always available, always fast 12
Customer Examples
Healthcare Apps Built with Qlik Organizations use analytics for a variety of projects Recent Healthcare Use Cases: Clinical Variation Diabetes Discovery & Pop Health Labor & Productivity Supply Chain Emergency Department Readmissions Apple HealthKit Clinic Throughput Surgical Performance Rev Cycle Management Social Media Analyzer Epic Healthy Planet Epic ASAP ED Real-time Trackboard 14
Why Visualize your data? Low conversation rate of Data Insight Low adoption rate for front office staff Hard to keep up with the growth of data
Picture worth a thousand words
Only when you get it right
Qlik Examples 18
Qlik Examples
A broad spectrum of analytics requirements Descriptive Diagnostic Predictive Prescriptive Optimization BI / Reporting Visual Analytics Advanced Analytics Corporate Reporting Guided Analytics Ad-hoc Analysis Data Visualization Advanced Calculations Statistics/ Algorithms Modeling / Mining Scenario Analysis Prompts Static Output Table / List Dashboard Selection Linkage Benchmarking Trends Growth Anomaly Bar / Line Chart Data Export Filtering Sorting Pivot Table Data Load Associations Aggregations Stories Frequency Set Analysis Subtotals Rolling Aggregation Classification Segmentation Scripting Data Generation Randomization Relative Time Distribution Regression Forecasting Correlation Clustering Histogram Box Plot Sentiment Sampling Decision Trees Time Series Text Mining Neural Nets Random Forests Ensemble Models Factor Analysis Monte Carlo Data Preparation + Advanced Analytics Integration Consumers Producers Business User Business Analyst Data Scientist 20
Top Concerns of Visual Analytics? It s not just about pretty pictures. It s not about killer apps but more about killer questions! What are the risks if I m not seeing the whole story that lives within my data? How do I ensure my workforce is data literate? 21
Thank You