How technology can revolutionize data analytics

Assignment Help Management Information Sys

Reference no: EM133650008

Assignment:

The influence of IT innovation on business process management

CASE STUDY

Checkers just revealed a shop without tills, run on AI and machine vision

Retail giant Shoprite on Wednesday revealed that it is testing an automated Checkers concept store with no cashiers, or till points."

Checkers Rush is a "no queues, no checkout, no waiting" concept store, it said.

"Using advanced AI camera technology to identify the products being taken off the shelves, Checkers Rush bills users' bank cards upon exit."

The shop is available to staff at ShopriteX offices near the company's home office, above Checkers Hyper Brackenfell in Cape Town. That unit office now houses a team of 250 people comprised of data scientists, experts on e-commerce, and others, working with a more general IT team of more than 1,000 "to create and implement new innovations", Shoprite said.

Amazon Go stores popularised the concept of a "grab and go" retail store, using cameras to track what people pick up (and what they put back again) with no need to scan barcodes or deal with a human assistant. It has primarily marketed the concept based on its speed and convenience, to urban customers.

But similar systems are also used in rural areas of Sweden, where staff may not be available, or where the cost of salaries would make a store economically unviable.

QUESTIONS

Review the resource provided and post your response on the forum around one or more of the following points:

1) Have your views around the roles of big data, business analytics, and BI in informing and optimising business processes changed after engaging with the course material in this module? What do you believe the benefits of optimising business processes to be?

2) Review the resource and consider why it presents a good example of how technology can revolutionize data analytics and provide new business opportunities.

3) Consider your own context and reflect on whether any of the ideas you have encountered in this module or in last week's small group discussion forum could be implemented, and what the impact of this implementation might be.

Reference no: EM133650008

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How technology can revolutionize data analytics : Review the resource and consider why it presents a good example of how technology can revolutionize data analytics and provide new business opportunities.

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