Some tasks, such as exploratory data analysis, are best handled through Python or R programming. Python is designed for real-time calculations and Excel is better for advanced data calculations ...

Digital innovation in 2025 delivers quick ROI through focused 4–6 week pilots. Assign a single owner and KPI, instrument data analytics from day one, and scale what works. Prioritize customer ...

Growing importance of churn analysis. As subscription costs rise, marketers are using churn analysis to better serve customer segments and improve retention.

Business analysts are running into the limits of BI tools and looking for ways to do more advanced analytics. Python is the way forward.

Using analytics to better understand customer satisfaction, profitability, retention and churn while increasing cross-sell and up-sell are the most dominant uses of cloud-based analytics today ...

Quantzig brings to you comprehensive insights into the top benefits of customer analytics for the banking industry in its recent article.

New Adobe Product Analytics brings purpose-built insights for product teams directly into Adobe Experience Cloud Customer Experience teams can now look deeply across marketing and product insights ...