Happiness index vs data-analytics

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Reference no: EM133107195

"Two Brothers, Two Methods: Happiness Index vs Data &  Analytics". 

Brief Case Description: Two profitable companies, WCC and ARK, were started by successful sibling entrepreneurs a few years apart. Operating in the Information Technology (IT) staff augmentation industry, both companies had common missions, facilities, markets, and teams. WCC and ARK enjoyed relatively mature process control, workflow management tools, and operating key performance indicators (KPIs). However, the companies had contrasting operating philosophies and execution approaches. WCC formulated an informal qualitative factor-called the "Happiness Index"-to measure success, whereas ARK adopted a concrete performance criterion to assess achievements of the organizations and individuals. The technology driven staff augmentation industry underwent multiple dramatic change cycles in last decade and is expected to be impacted by changes in technology, programming languages, applications, big data factors, cloud computing, processing speeds, and Internet of Things (IOT) for decades to come. Two profitable companies-with almost identical average net profits over the past decade- led by two brothers, broadly in same business, were competing with two different operating philosophies while sharing the same overseas facilities. 

1. Describe the main differences between two companies. How do they impact: a) growth b) efficiency c) employee retention d) execution? 

2. Which company (WCC or ARK) is more scalable? Which one is better positioned to deal with the changing market dynamics and enhancing their market competitiveness? 

3. What was the impact of the "Happiness Index" on the operations? How does it differ from satisfaction or employee/customer survey? How would you formalize it?

Reference no: EM133107195

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