Apps Run The World Apps Purchases

Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	VAR/SI	Insight Source
Mission Health	Healthcare	12000	$1.8B	United States	SAS Institute	SAS/OR	Analytics and BI	2014	n/a	In 2014 Mission Health implemented SAS/OR to develop a discrete event simulation for its neonatal intensive care unit. The deployment, categorized under Analytics and BI, engaged US based clinicians working with SAS and Duke to translate clinical workflows and staffing policies into a production simulation. The implementation specifically targeted evaluation of staffing policies, length of stay, costs and clinical outcomes within the NICU. The simulation was built using SAS Simulation Studio, part of SAS/OR, and leveraged scenario modeling and stochastic process simulation capabilities commonly used in Analytics and BI simulation workflows. Models encoded staffing schedules, patient arrivals, bed utilization and care pathways, and were fed by clinical and operational data to run scenario comparisons and sensitivity analyses. SAS/OR was configured to support parameter sweeps and what if scenario orchestration to surface nonintuitive system behaviors tied to operational policies. Operational coverage centered on NICU clinical operations in the United States, with project governance conducted jointly by Mission Health clinicians, SAS and Duke clinical researchers. The US based work informed operational decision making and demonstrated counterintuitive relationships between length of stay and cost, findings that were reported in a 2016 peer reviewed study and in SAS insights articles. The effort exemplifies use of SAS/OR within Analytics and BI to align simulation modeling with clinical staffing governance and operational policy evaluation.
Mission Aviation Fellowship UK	Non Profit	350	$40M	United Kingdom	Oracle	Oracle OBIEE	Analytics and BI	2015	n/a
	Retail	400	$253M	United Kingdom	SAP	SAP BW (Business Warehouse)	Data Warehouse	2017	n/a
	Retail	400	$253M	United Kingdom	Microsoft	Microsoft Power BI	Analytics and BI	2018	n/a
	Media	10	$1M	Canada	Microsoft	Microsoft Power BI	Analytics and BI	2025	n/a
	Consumer Packaged Goods	24	$4M	United States	Polar Analytics	Polar Analytics	Analytics and BI	2024	n/a
	Construction and Real Estate	1684	$1.9B	Australia	Microsoft	Microsoft BI (SSRS, SSAS, SSIS, SQL Server Reporting)	Analytics and BI	2016	n/a
	Construction and Real Estate	1684	$1.9B	Australia	Microsoft	Microsoft Power BI	Analytics and BI	2016	n/a
	Professional Services	50	$5M	United States	Chartbeat	Chartbeat	Analytics and BI	2011	n/a
	Media	20	$2M	United States	Tableau Software	Tableau	Analytics and BI	2022	n/a

Logo

Customer

Industry

Empl.

Revenue

Country

Vendor

Application

Category

When

VAR/SI

Insight

Insight Source

Mission Health

Healthcare

12000

$1.8B

United States

SAS Institute

SAS/OR

Analytics and BI

2014

n/a

In 2014 Mission Health implemented SAS/OR to develop a discrete event simulation for its neonatal intensive care unit. The deployment, categorized under Analytics and BI, engaged US based clinicians working with SAS and Duke to translate clinical workflows and staffing policies into a production simulation. The implementation specifically targeted evaluation of staffing policies, length of stay, costs and clinical outcomes within the NICU. The simulation was built using SAS Simulation Studio, part of SAS/OR, and leveraged scenario modeling and stochastic process simulation capabilities commonly used in Analytics and BI simulation workflows. Models encoded staffing schedules, patient arrivals, bed utilization and care pathways, and were fed by clinical and operational data to run scenario comparisons and sensitivity analyses. SAS/OR was configured to support parameter sweeps and what if scenario orchestration to surface nonintuitive system behaviors tied to operational policies. Operational coverage centered on NICU clinical operations in the United States, with project governance conducted jointly by Mission Health clinicians, SAS and Duke clinical researchers. The US based work informed operational decision making and demonstrated counterintuitive relationships between length of stay and cost, findings that were reported in a 2016 peer reviewed study and in SAS insights articles. The effort exemplifies use of SAS/OR within Analytics and BI to align simulation modeling with clinical staffing governance and operational policy evaluation.