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CASE STUDIES

LIFE SCIENCES : IMPLEMENTATION OF PROCESSES AND STANDARDS

IMPLEMENTATION OF PROCESSES AND STANDARDS

IMPLEMENTATION OF PROCESSES AND STANDARDS

LIFE SCIENCES

LIFE SCIENCES : CREATING ADAM (ANALYSIS DATA MODEL) FOLLOWING SDTM STANDARDS

CREATING ADAM (ANALYSIS DATA MODEL) FOLLOWING SDTM STANDARDS

CREATING ADAM (ANALYSIS DATA MODEL) FOLLOWING SDTM STANDARDS

LIFE SCIENCES

LIFE SCIENCES : SETTING-UP A STATISTICAL PROGRAMMING TEAM FOR COVID-19 VACCINE PROJECT

SETTING-UP STATISTICAL PROGRAMMING TEAM FOR COVID-19 VACCINE PROJECT

SETTING-UP A STATISTICAL PROGRAMMING TEAM FOR COVID-19 VACCINE PROJECT

LIFE SCIENCES

HEALTHCARE : MATCHES NEED NOT BE MADE IN HEAVEN

Pricing Analytics

MATCHES NEED NOT BE MADE IN HEAVEN

HEALTHCARE

FINANCE : A LEAF OUT OF RISK MANAGEMENT FOR REVENUE MAXIMIZATION

Risk Analytics

A LEAF OUT OF RISK MANAGEMENT FOR REVENUE MAXIMIZATION

FINANCE

RETAIL : DYNAMIC MODELS THAT REACT QUICKLY TO KEY TRIGGERS

Marketing Analytics

DYNAMIC MODELS THAT REACT QUICKLY TO KEY TRIGGERS

RETAIL

LIFE SCIENCES : MAPPING RAW DATA FROM LEGACY FORMAT TO SDTM FORMAT

SAS Clinical

MAPPING RAW DATA FROM LEGACY FORMAT TO SDTM FORMAT

LIFE SCIENCES

E-COMMERCE : ACTIONABLE INSIGHTS AND ANALYTICS FROM DAY ONE

Web Digital Analytics

ACTIONABLE INSIGHTS AND ANALYTICS FROM DAY ONE

E-COMMERCE

SUPPLY CHAIN : CONVERT FAILURES INTO OPPORTUNITIES

Business Intelligence

CONVERT FAILURES INTO OPPORTUNITIES

SUPPLY CHAIN

TECHNOLOGY : EMPOWERING YOUR EMPLOYEES TO SELF-MANAGE

Visualization

EMPOWERING YOUR EMPLOYEES TO SELF-MANAGE

TECHNOLOGY

MANUFACTURING : CONVERTING SMALL DEVICES INTO BIG OPERATIONAL EFFICIENCIES

IoT

CONVERTING SMALL DEVICES INTO BIG OPERATIONAL EFFICIENCIES

MANUFACTURING

TELECOM : REAL TIME ANALYTICS PIPELINE FOR TRANSACTION ABNORMALITY DETECTION

Cloud

REAL TIME ANALYTICS PIPELINE FOR TRANSACTION ABNORMALITY DETECTION

TELECOM

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