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Healthcare BI/Analytics: The Scrabble Conundrum Joe Van De Graaff, Research Director, BI & Analytics KLAS Research - www.klasresearch.com
KLAS Mission
To improve healthcare technology delivery by honestly, accurately, and impartially measuring vendor performance for our provider partners.
KLAS: Who We Are
• Healthcare IT market research firm with 15 years of vendor performance data
• Over 1,000 hours/month talking to providers who rate 900+ products and services from 250+ vendors worldwide
KLAS Disclaimer
Information contained herein does not represent KLAS opinion. Content comes primarily from provider interviews conducted by KLAS and includes strong opinions reflecting the emotion of success and, at times, failure. The information is intended solely as a catalyst for a more meaningful and effective investigation on the organization’s part and is not intended nor should it be used to replace providers’ due diligence.
Healthcare BI Market: The Race Has Started
http://www.youtube.com/watch?v=bYvbaqfq9mI
Scrabble: favorite board game to play with my wife. I haven’t won in 5+ years (really)…
The Scrabble BI/Analytics Conundrum
• Lots of tiles; lots of players • More vendors want in • Same letters, but confusing
words • Who will be the winner?
What Providers Want
What Providers Have
How Vendors View Themselves
KLAS 2013 BI Perception Research
Key Research Question: • Which BI vendor do
providers expect to stand out in healthcare as the market leader in enterprise analytics?
Uncertainty Abounds (Image from KLAS BI Perception Report 2013)
Perceived Leadership Areas (Image from KLAS BI Perception Report 2013)
Provider needs for BI and analytics may vary greatly, and often lead to the selection of multiple products and/or vendors. To help providers, KLAS provides a basic categorization of vendors below to reflect the main one or two areas where they are perceived as potential leaders. (This categorization is not intended to be a full representation of all offerings vendors have, but rather is focused on the research results from this perception study). Vendors noted in the table are those who received at least one mention from providers as a potential future leader in enterprise analytics.
BI Tool Set (i.e. Enterprise Reporting, Dashboards)
Visual Data Discovery (Visual self-service BI)
EDW/Data Warehousing Platform
Population Health Related Analytics
Embedded Analytics
Dimensional Insight QlikView Caradigm Advisory Board Epic
IBM Tableau Explorys Explorys
McKesson SAS Health Catalyst OptumInsight
Microsoft IBM Verisk
Microstrategy Microsoft Wellcentive
Oracle Oracle
SAP
Enterprise/Department: Movement Both Ways
A Trend Worth Highlighting
“The problem with the BI vendors is the same problem we have been talking about for decades…A system that gives me a blank piece of paper to start with is not helpful. The tools that are helpful are the ones that come with best practices for metrics and the analyses that are going to be most useful.” -CIO
Perceived Potential Leaders: BI Tool Depth & Healthcare Specificity (Image from KLAS BI Perception Report 2013)
Providers’ Vote: Healthcare Specificity (Image from KLAS BI Perception Report 2013)
Data Analytics = Dollars
“If hospitals can’t produce data analytics in the next couple of years, they are going to suffer. As far as I am concerned, data is money in the future.” -CIO
How to Make Sense of The Maze?
BI Market & Vendor Overview: Keeping as Simple as Possible…
A Look at BI: Starting Simple • Front End (i.e. Data
Reporting/Presentation) - Standard/scheduled reporting - Dashboards, scorecards - Visual data discovery
• Back End (i.e. Data Management)
- Data integration (ETL) - Data warehouse / EDW - Data marts/spheres/cutes
Analytics Tools/Products – Simple Categories
• Enterprise (i.e. BI tool sets and platforms – enterprise capability and use)
• Area Focused (i.e. focused, area specific analytics– targeted or supplemental solutions)
• Application-Embedded (i.e. reporting/analytics as part of an existing application – built into the workflow)
Enterprise – KLAS Example Vendor Categorization
• *Table/chart not intended to be comprehensive listing of all vendors or vendor products. Vendors shown above primarily based on one or more KLAS evaluations from provider(s) using the product. Vendors shown as examples to facilitate like-to-like- vendor comparisons. Vendor offerings may differ in functionality, and vendor listing in chart above not intended to imply KLAS validated enterprise use (please refer to KLAS reports for specific performance data and/or vendor rankings).
• Most BI Tool Set vendors also offer Visual Data Discovery products • EMR vendors often have products that serve as data warehouse, but typically used just for their own data (such vendors not shown in chart). Examples include, but
not limited to, Allscripts, Cerner, Epic, McKesson, MEDITECH, Siemens.
ENTERPRISE* (vendor agnostic, flexible BI tools or platforms for enterprise use,
i.e., clinical / financial / operational analysis)
Front End (i.e. Data Reporting/Presentation)
Back End (i.e. Data Management)
BI Tool Sets (i.e.stand-alone vendor BI offerings, often multiple BI
products together, such as standard reporting, dashboards, data mining, etc )
Visual Data Discovery (i.e. stand-alone tools characterized by ease of use /
end user adoption; most BI Tool Set vendors also offer this)
Data warehouse / EDW (i.e. stand-alone data warehouse or EDW used as data repository/source of truth; may include some analytic applications)
Data Quality / Integration
(i.e. vendor agnostic data integration and management tools; often used for data cleanliness and ETL)
Dimensional Insight QlikTech Caradigm Dimensional Insight IBM Tableau Deloitte (Recombinant) IBM Information Builders TIBCO Explorys Informatica McKesson Health Care DataWorks Information Builders Microsoft Health Catalyst Microsoft Microstrategy IBM Oracle Oracle Microsoft SAP SAP Premier SAS SAS Oracle Teradata
Area Focused – Example KLAS Vendor Categorization
*Chart not intended to be comprehensive listing of all vendors or vendor products. Vendors shown in chart above primarily based on one or more KLAS evaluations from provider(s) using the product; vendors shown in chart based on relative like-to-like vendor comparisons; vendor offerings may differ in functionality. Please refer to KLAS reports for specific performance data and/or vendor rankings.
Related areas to Mainly Clinical BI include • Clinical Decision Support -
(vendor examples include EBSCO, ElSevier, Logical Images, Truven, Wolters Kluwer, ZynxHealth)
• Clinical Surveillance (vendor examples include CareFusion, Hospira, PeraHealth (Rothman), Truven, Wolters Kluwer)
Related areas to Mainly Financial BI include • Business Decision Support
(vendor examples include Allscripts, McKesson, Siemens, MedAssets, Kreg)
• Budgeting (vendor examples include Allscripts, Strata, Healthcare Insights, Kreg)
AREA FOCUSED* Offerings built for, focused on, or usually deployed for analytics in a certain area;
usually more packaged than broader/enterprise tools
Population Health Analytics
(i.e. stand-alone products used for usually clinical patient/population data analysis)
Mainly Clinical BI (i.e. stand-alone products mostly used in
clinical areas or for clinical data analyses)
Mainly Financial BI (i.e. stand-alone products used mostly in
financial areas or for financial data analyses)
Quality Reporting, Benchmarking
(i.e. stand-alone product suites used for external regulatory reporting,
benchmarking)
Advisory Board Allscripts (SCA) Infor (Business Intelligence) Insight Health Solutions Explorys Altosoft (Kofax) Kronos (Wrkfrce Analytics) Premier Forward Health Cerner (Pwr Insight) MedeAnalytics Press Ganey McKesson (MedVentive) EMBI Oracle (Hyperion/Essbase) Quantros Optum (Humedica) Harris (CareFx BI) Truven Phytel MediWare UHC Truven Omnicell (Pandora) Xerox (MIDAS) Verisk Wellcentive
Application Embedded Reporting and/or analytics from within an application
• Vendor names and products vary greatly (most applications have some level of reporting)
• More robust embedded reporting/analytics becoming increasingly important • Not seen as traditional BI products, but play important role when built into
the workflow (i.e. EMR reporting/analytics built into clinical workflow) • Capability and level of embedded reporting/analytics differs greatly by
application. Some applications have additional capability based on a third party embedded (i.e. OEM) BI engine or product.
Product/Tool Use Depth
Basic
• Knowledge discover, often user driven
• Comparison analysis, benchmarking
• Rules based operational intelligence
• Ad-hoc reporting
Intermediate
• Knowledge distribution
• Scheduled report analysis, distribution
• Known/defined areas of measurement
• Often historical information
• Deep knowledge exploration
• Predictive and statistical modeling
• Ad-hoc BI with real-time data
• Intelligence from unstructured data analysis (i.e., large data)
Advanced
A Look at Actual Vendor Performance, Best in KLAS Rankings for BI Market (Dec 2012)
• Overall performance ratings, customer satisfaction
• Included vendors must meet multiple criteria (number of clients, use criteria, etc.)
BI Can Be Daunting…
http://www.youtube.com/watch?v=wPOgvzVOQig
Will My BI Vendor Catch Me? (Image from KLAS BI Performance Report 2012)
Key Performance Indicators – Ranked Enterprise Vendors
Common challenge: unsatisfactory provider experiences with vendor service delivery (i.e. executive involvement, support experience)
Influence on Change? (Image from KLAS BI Performance Report 2012)
BI Vendor/ Product Impact on Change N=227 1-5 scale 1=no impact 3=average impact 5=high impact
Recently Completed Projects (Image from KLAS BI Performance Report 2012)
How BI is being Used—Most Recently Completed BI Project
N=189
“Other” includes Data Repository/Warehouse, No Recent Projects, Outcomes/ACO Analysis, BI Solution Implementation/Upgrade, Predictive/What-if Modeling Analysis, Reporting Setup/Maintenance, and Coding/Documentation Analysis.
The Right Resources for BI: Important!
http://www.youtube.com/watch?v=80TE_pnHKV4
Peer Advice for BI (Image from KLAS BI Performance Report 2012)
N = 160
Questions?
Joe Van De Graaff KLAS Research [email protected] www.klasresearch.com