Kimberly Nevala Edward Marx Chris Donovan · Data & Analytics -information management and...

Kimberly NevalaStrategic advisor, SAS

Edward MarxChief information officer,Cleveland Clinic

Chris DonovanExecutive director of enterprise analytics, Cleveland Clinic

Copyr ight © SAS Inst i tute Inc . A l l r ights reser ved.

Driving Value from Analytics and AIOur 2019 Global Survey of Data and Analytics practice found:

•15% •9% •7%

say advanced analytics inform management’s strategic direction

are automating analytics and using machine learning/AI insights in decision-making

are applying AI insights in production workflows


What Sets the Leaders Apart?Advanced Analytics/AI adoption and trust are

strongly correlated with three activities:

1Taking proactive,

formal measures to manage data quality

2Engaging in security

and privacy practices that build

customer trust

3Promoting a culture of data literacy and

data-driven decision-making


Trust Requires a Strong Data FoundationImproving data quality and data access engenders wider internal usage and trust


Data Security and Privacy Also Critical to Customer TrustU.S. consumers are concerned about privacy, and would like more

rights over their personal data


How Organizations Build Trust in Data-Driven Culture


Innovation Cuts Across Functions

Innovation demands collaboration across business operations, IT and analytics.


The Lynchpin: A Strong Business-IT Partnership

1Strategize and

deliver an enabling data foundation

2Ensure the

organization can deliver on promises

of privacy and security

3Identify and deliver

the new data streams that will

enable innovation

IT and Analytics leaders must work together to:


A Case in Point:How Cleveland Clinic Leaders Collaborate

Edward MarxChief Information Officer, Cleveland Clinic

Chris DonovanExecutive Director ofEnterprise Analytics, Cleveland Clinic

How IT and Analytics Leaders Partner

MIT SMR – 03/07/19

Cleveland Clinic

Cleveland ClinicProfile

• Capturing, integrating and interpreting data from all available sources

• Predictive algorithms that surface opportunities for intervention and prevention

• Thoughtful use of augmented intelligence

• Seamless connections to patients and partners as healthcare becomes “borderless”

• New skills, knowledge and pipelines

• Mature data governance

Digital & Analytic Transformation

Patients - main patient-facing elements; patient portals, multichannel commerce and customer apps

Ecosystem - supports the creation of, and connection to, external ecosystems, marketplaces & communities. (API mgt, control & security)

Internet of Things (IOT) - connects physical assets for monitoring, optimization, control and monetization. Capabilities include connectivity, analytics and integration of core and IOT systems

IT Systems - supports back office and operations; such as ERP and core systems

Data & Analytics - information management and analytical capabilities. Data management programs and analytical applications fuel data-driven decision making, and algorithms automate discovery and action

Adapted from Gartner - A Digital Business Technology Platform Is Fundamental to Scaling Digital Business

Analytics is Core to a Digital Platform

Patients

Analytics

Customer Facing &

Public APIs

Partner & Supplier Analytics

PatientAnalytics

Business & Operational

Analytics

IoTAnalytics

SocialNetworksPatient Portal &

Apps

Multichannel Interaction & Commerce

Connected Things

(Customers)

Connected Things

(Partners)

OT Systems

Connected Things

(Enterprise)

EndpointComputing

CoreSystems

Back-Office Systems Employee

Collaboration and Workplace

Supplier Portal &

Apps

Enterprise Run Ecosystems

API Management Industry &

Partner-run Ecosystem

Business IntelligenceAlgorithms & AI

Engines

PATIENTS ECOSYSTEMS

THINGS IT SYSTEMS

ANALYTICS



Business Intelligence

Customer Facing &

Public APIs

Partner & Supplier Analytics

PatientAnalytics


Analytics

IoTAnalytics

SocialNetworksPatient Portal &

Apps

Multichannel Interaction & Commerce

Connected Things

(Customers)

Connected Things

(Partners)

OT Systems

Connected Things

(Enterprise)

EndpointComputing

CoreSystems

Back-Office Systems Employee

Collaboration and Workplace

Supplier Portal &

Apps

Enterprise Run Ecosystems

API Management Industry &

Partner-run Ecosystem

Algorithms & AI Engines

PATIENTS ECOSYSTEMS

THINGS IT SYSTEMS

ANALYTICS



PatientAnalytics

Patient Portal & Apps

Connected Things

(Customers)

CoreSystems

Algorithms & AI Engines


Analytics

IoTAnalytics

API Management

Business Intelligence

Co

mp

etit

ive

Ad

vant

ag

e

Adapted from: Copyright © 2012, SAS Institute Inc. All rights reserved. ANALYTICS MATURITY GOAL: FROM REACTIVE TO PREDICTIVE

How do we act on it?

What’s the best that can happen?

What will happen next?

Why is this happening?

What actions are needed?

What were the key drivers?

How many, how often, where?

What Happened?

Sophistication of Analytics

StdReports

AdhocReports

DataExploration

AlertsScorecards

StatisticalAnalysis

Forecasting

PredictiveAnalysis

Optimization

Proactive Decision Making

Reactive Decision Making

Driving Analytic Maturity

International Institute for Analytics

2.252.882.89

2.963.05

3.193.233.29

3.433.553.583.62

3.914.56

Airlines

Utilities & Telecom

Digital Natives

Grocery

Financial ServicesConsumer BrandsGeneral RetailPharma & Med DevicesManufacturing

Automotive

Healthcare - Providers

Healthcare - InsuranceInsuranceSpecialty - Retail

Industry Best In Class

Maturity Score

Medians

All caregivers will have appropriate access to

trusted data & actionable insights

along with the capability to act on those insights

DataEnhance the value of CC data assets

PeopleDevelop an analytically

capable organization

ProcessValue

analytics over instinct

TechnologyCreate a modern analytics platform

CC Enterprise Analytics Vision

Executive Steering

Committee

Operational Leadership

TeamAdvisory Council

Data Governance

Council

EDV User Community

AI Steering Committee

Enterprise Governance and Engagement

150+ attendees

Institute Data Access

Committee

250+ attendees

Tableau User Community

12 Trainings140+ attendees½ day retreat

SAS User Community

60+ attendees

Lean

Do the WorkRight

AgileDesignThinking

Do the RightWork

Understand the Work

Leveraging Enterprise Approaches

Product & Capability MindsetImproved Care Delivery, Operations & Leadership

Quality, Safety and Patient ExperienceEnterprise Care Delivery InsightsPopulation HealthExecutive and Operations Strategic and Financial PlanningResearch

Enterprise Capability

Data GovernanceAnalytic CultureTechnology and InfrastructureServe as Enterprise Resource

Understanding our PartnersAddressing differentiated requirements through appropriate tool, capability and

training curriculum

Quantitative Analysts

Business Analysts

Key leaders & decision makers

Front line and operational managers

DataScientists

ExecLeaders

Driving Results• Revenue Cycle project, generating $8.5 million in savings over five years

• Reduced readmission rates for high risk patients by 50% utilizing a predictive readmission risk model and providing differentiated, targeted transitional care management interventions

• Measurable improvement demonstrated utilizing external, industry agnostic analytics maturity benchmark

• Generating new approaches that have been leveraged in clinical and operational workflows

• Platform adoption has been strong with rapid growth of partner generated content

Partnership is key to our Program

Clinical, Financial & Business Operations

InformationTechnology

EnterpriseAnalytics

Kimberly Nevala Edward Marx Chris Donovan · Data & Analytics -information management and...

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