Remove Analytics Remove Big data Remove Case Study Remove Retail
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How IBM Planning Analytics can help fix your supply chain

IBM Big Data Hub

IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&OP), and many aspects of supply chain planning (SCP).

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Automated governance and trustworthy AI

IBM Big Data Hub

The use of AI becomes necessary to take advantage of the massive amounts of transactional and client experience data. 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.

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How Newcomp Analytics partners with IBM to advance clients’ supply chain insights

IBM Big Data Hub

When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Yet Newcomp continues to be an essential and trusted partner, helping the company keep up with the high volume of analytics solutions it needs to address.

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Digital transformation examples

IBM Big Data Hub

” An example of a company that underwent a major retail transformation is Amazon, which changed the way consumers shop for everyday items. There are several examples, or case studies, of successful digital transformation across a range of different industries.

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A Rich Content Strategy Empowered by Chatbots | everteam.chatbot

Everteam

4- Case studies. It is a matter of data analytics. Fashion retailers and publishers for example are implementing chatbots that can act as their personal shopping assistant to avoid any bottlenecks in their purchase funnel. 2- Videos. 3- Infographics. 5- eBooks. 6- White Papers. 7- Checklists.