Big data Case Study Marketing Retail 
IBM Big Data Hub
OCTOBER 5, 2022
In a perfect world you would know precisely how much of your product the market desires, and you would be able to produce and ship exactly that amount to every location where your customers would be waiting, ready to buy. In a manufacturing, distribution or retail context, this is the supply plan. Then, everything comes together.
IBM Big Data Hub
JUNE 7, 2022
These models could include diverse use cases like client credit monitoring, fraud analytics, lending decisions, targeted micro marketing, managing chat bot interactions, call center analytics and others. Case study: IBM Cloud Pak for Data at work in a large financial services firm.
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IBM Big Data Hub
JANUARY 29, 2024
In a moment’s notice, customer expectations and market conditions can change. ” An example of a company that underwent a major retail transformation is Amazon, which changed the way consumers shop for everyday items. This operating model increases operational efficiency and can better organize big data.
IBM Big Data Hub
OCTOBER 27, 2022
IBM has the best channel ecosystem in the market today… it’s like a well-oiled machine. Lindt has used Cognos Analytics for more than 20 years as an analytics solution for its sales and marketing functions. Now Lindt could ask new questions and draw new insights: Why do we spend more shipping to certain retailers?
Everteam
MAY 8, 2019
As previously discussed, Chatbots are a milestone in the marketing sector. Customer service, to be more specific, had witnessed a big improvement with the help of the Chatbot technology. What about the other marketing aspects? Let us take a look at how this AI and ML based solution is shifting the “content marketing” sector.
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