When a transportation service uses data analytics to optimize its delivery routes and save fuel costs, it also saves the environment from a tremendous amount of pollution. In today’s world, such an improvement in business operations exemplifies the ultima ...
Many people think you need to be a data scientist to extract insights from it. This can’t be further from the truth. Typically, a data scientist is considered as someone who uses statistical methods, machine learning, and AI approaches to solve problems, ...
“Banking has to work when and where you need it. The best advice and the best service in financial services happens in real-time and is based on customer behavior, using principles of Big Data, mobility and gamification.” – Brett King One could argue tha ...
In the last blog in the start-up readiness series, titled “Too many tickets and fewer resources,” we discussed building an analytics agenda that would help the data and analytics resources to focus on solving the highest value problems instead of going on ...
For businesses to flourish, they need to constantly acquire new and valuable customers. The process of bringing in new customers is called customer acquisition and is a part of customer analytics. While the process sounds simple, actually acquiring cus ...
Analysts and data scientists can face many hurdles in their work, especially when starting a new project. One such problem is working with such a large amount of data that you lose track of the goal. This happens with data scientists/analysts a lot. And i ...
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