Dynatrace
AUGUST 14, 2020
Many enterprise digital marketing teams use the best-in-class web analytics solutions like Adobe Analytics to see which users are abandon ing their journey , how paid search and email campaigns are performing, and to understand user behavior. Real-world example: Retail banking. Dynatrace news.
Dynatrace
DECEMBER 21, 2023
Business process monitoring examples: A retail use case It can be helpful to put business processes in the context of a specific type of business or industry. Traditional approaches to business process monitoring must evolve to provide the end-to-end visibility, IT context, and timeliness that organizations need.
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Dynatrace
NOVEMBER 6, 2023
As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Remote management and automated alerting are, therefore, crucial.
All Things Distributed
MARCH 11, 2015
AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. Many of these innovations will have a significant analytics component or may even be completely driven by it. Cloud analytics are everywhere.
Dynatrace
SEPTEMBER 20, 2022
From banking and retail to healthcare and government, nearly all industries have experienced a dramatic shift to mobile computing over the last decade. With Session Replay video-like recordings of all user sessions that end in a crash, developers can reproduce and fix crashes faster and keep their users satisfied and engaged.
Dynatrace
JANUARY 18, 2023
Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. Analytics without boundaries. Example business events from anywhere. Configuration overview.
The Netflix TechBlog
MARCH 2, 2021
Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. Our quasi-experimentation helps us constantly improve our streaming experience, giving our members fewer buffers and ever better video quality. Analytics Engineers and Data Visualization Engineers?—?who
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