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Go Digital Go Frictionless Case Study

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Go Digital Go Frictionless Case Study
Introduction

Digital transformation in ACompany (Name changed) was championed by the CEO and Founder - ACompany. His intention is to “Go Digital. Go Frictionless” with the Digital Enablement project. His inspiration on why to go digital was simple, for him being digital meant being frictionless. He believes that when the business uses the potential of the digital ecosystem, everything – from customer interactions to back-end processes, decision support systems to enterprise integration – everything becomes frictionless. For ACompany digital enablement, did not only mean going the SMAC (Social Mobile Analytics and Cloud) route, but it also meant simplifying and making interactions frictionless. Digital transformation (DX) is enterprises’
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Each layer standing on the shoulders of the previous one, forms the basis of all our thoughts, interactions and processes. The foundational layer of Values, which are immutable. Then comes the Business Model layer, which defines the engagement model and then innovation layer which takes into consideration all the programs and projects ACompany have undertaken to give us the competitive edge.
Vision
Help our clients unlock the potential of global delivery, by building world class extended teams
2 Case Facts

2.1 When and What?
It all started as part of the market research survey conducted by AON Hewitt Company in the month of January 2016. The survey was aimed at getting the response of ACompany employees to get a feel of what they perceive of their work and the workplace. The snippet from the mail is below:

3 Analysis of facts

The response shared by the AON team with the senior management was an eye opener for the executives. Highlights of the results:

• 36% of the workforce felt they are working in silos, without getting to know the larger
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Provide a seamless omnichannel experience

4.2 Data & Insights
Data & Insights from various data sources helps in figuring out points of friction and help us strategize to develop actions which would ease and eliminate this friction. The journey from data to insights could be achieved easily through the vast experience. Demystifying ‘big data’ through BI algorithms, data warehousing, advanced analytics and data sciences to put forth actionable insights for the business. The motive is to do a lot more with data that we are currently doing or capable of doing. Few goals that are set under this data and insight label are:
• An immediate solution for expanding data and information needs
• Design to support big data integrated with core business
• Being Secure and scalable – ability to rapidly scaled up and down
• Test new analytical and automation scenarios without capital

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