2014 Category Leader Planning & Assessment

2014 KLAS Category Leader Planning & Assessment

Who is theKLAS Category Leader?

Navin Haffty (Merged with Tegria)


How do they score? In five key performance categories

Market Segment Average   Navin Haffty (Merged with Tegria)


Sales & Contracting

Implementation & Training

Service & Support

General

50
100

See the latest BEST IN KLAS 2018

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How do Planning & Assessment solutions compare?


Navin Haffty (Merged with Tegria) Logo
Navin, Haffty & Associates (NHA)
Konfidence
50
 
100
 

2

ECG Management Consultants Logo
Kurt Salmon
 
 

3

Impact Advisors Logo
Impact Advisors
 
 

4

Chartis Logo
Aspen Advisors
 
 

4

Premier Inc Logo
Premier
 
 

6

Advisory Board, an Optum Company Logo
Advisory Board
 
 

7

PwC Logo
PwC
 
 

8

CTG Logo
CTG
 
 

9

Cumberland (merged with Tegria) Logo
Cumberland
 
 

10

Accenture Logo
Health
 
 

10

Healthcare Triangle Logo
Cornerstone Advisors
 
 

12

Encore Logo
Encore
 
 

13

xG Health (Closed) Logo
xG Health
 
 

14

Deloitte Logo
Consulting
 
 

15

NTT DATA Logo
Dell Services
 
 

16

ECG Management Consultants Logo
ECG Management Consultants
 
 

17

Oracle Health Logo
Siemens
 
 

18

Leidos Logo
Health
 
 

19

Hayes Management Consulting, LLC Logo
Hayes Management Consulting
 
Professional Services 88.0
 

Past Planning & Assessment Awards

Konfidence

Konfidence level
Konfidence Level Description
Products must have at least 30 live organizations participating for software and at least 15 live organizations for professional services. Exception to this is Transcription Services (30).
Products must have at least 20 live organizations participating for software and at least 10 live organizations for professional services. Exception to this is Transcription Services (20).
Products must have at least 15 live organizations participating for software and at least 6 live organizations for professional services. Exception to this is Transcription Services
-
The Konfidence level on this product rating is low. These results are for early trend detection. As more performance data is received, the result is likely to have a wide variance.
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