What are examples of good use cases where data and analytics can have a big impact?
Senior Vice President, Product Design and Data Analytics in Finance (non-banking), 1,001 - 5,000 employees
Risk identification and mitigation involves integrating bespoke data sets and is time and energy intensive. Some firms resort to reporting the perception of business managers against risk dimensions. Any reporting or analytics can therefore be extremely biased and subjective. The feedback or opinion of a business manager could be biased by factors such as the recency effect. Risk management cannot thrive on perceptions alone; it has to be a lot more empirical, factual and reliable to make any business sense. There are many more use cases that one may explore in finance or HR. However, if the cake is not baked well, there’s no merit in putting a cherry on top.Group Head of ERP in Consumer Goods, 5,001 - 10,000 employees
Digital Twin if you are having manufacturing business.President, CEO, & CDAO in Services (non-Government), Self-employed
In supply chain, data and analytics can have a significant impact at reducing waste while simultaneously reducing costs. For example, advanced analytics can be used to (1) identify anomalies that could signify poor operating procedures that result in waste, (2) identify stores or restaurants where there is a consistent oversupply of product or food, and (3) identify signals in data that help generate probabilistic models to create a more robust and resilient supply plan. Similarly, in marketing, advanced analytics can help guide marketing spend and promotional decisions to optimize across revenue, foot traffic, and profit.Content you might like
CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.Cyber insurance with ransomware coverage44%
Law enforcement contact(s)44%
Ransomware response plan59%
Ransomware task force/team39%
Bitcoin account for ransomware payments14%
Disaster recovery site33%
Other (comment below)1%
563 PARTICIPANTS
Scalable AI49%
Composable Data and Analytics41%
XOps23%
Data Fabric35%
Engineering Decision Intelligence25%
Augmented Consumers6%
Edge Computing26%
217 PARTICIPANTS