5 Best Practices for Designing Data-Driven Applications

Add bookmark

Analysts predict that smart computing software will become a $48 billion market and have proclaimed that we are in an era of data-driven marketing and sales.

Designing compelling data-driven experiences remain as much of an art as it is a science, especially for customer facing apps with both a large number of users and large data sets.

Fortunately, an emerging set of design principles inspired by consumer devices provides guidelines for delivering apps that inform, connect, and motivate end users.

This piece addresses:

• Five best practices for designing scalable and personalized apps
• Why data is a differentiator in customer facing apps
• Why big data and mobile adoption create new challenges for developers
• How the "small data" design philosophy drives focus and agility
• Suggestions for creating compelling, high-scale data-driven apps and solutions

Latest Webinars

From Chaos to Clarity – A Playbook for Orchestrating Outcomes at Scale

2025-12-02

11:00 AM - 12:00 PM SGT

Join us for the final webinar of Making AI Work Webinar Series. Uncover the path to reducing complex...

End-to-end portfolio and asset management transformation with Powerco and TNB

2025-10-23

01:00 PM - 02:00 PM SGT

This session goes beyond theory, offering concrete examples of how two transmission and distribution...

G7 Tech - October webinar series

2025-10-23

10:00 AM - 11:00 AM EDT

Join us for a series of webinars from G7 exploring how to improve processes, business operations, ef...

Recommended