• Our real examples of Big data applications • Our learning in Big data space • How to Simplify – Big data problems • Key skills you need to enter in Big data space as UX/UI • Future in Big data analytics
role is key in defining the product. • Involve UX from start – while defining the product. • Understand User & user needs • Dashboard design • It’s a key element – give the key insights which can impact business. • Data visualization • Don’t complicate visuals for no reason. • But’ Sometime you needs do out of box visualization– connecting multiple aspects of data. • Customer problem is changing in big data space so design should be adaptive, extendable & agile. • Power to user - capability to do data exploration. • UX of product is the key – differentiator in existing market tools
sacrifice everything for simplicity • Big Data apps are for expert for a small, specific user base. • Explain more if needed, don’t hide to just make simple UI. • Handle more complexity - if it helps them do their job faster and better. • Usability tests and interviews help you define where you need complex UI. Simple Complex
UX/UI • Good understanding of UX fundamentals • Data visualization skills • What data to show in what kind of visualization • Able to think out of box to create something new • Make some samples visuals to showcase • Learn about domain you are entering like Telecom, AI etc. study market products. • Industry needs deadly combination for UI & UX both. (Startup mode) • Problem solving skills • Sample Portfolio – showcase above capabilities
Big data isn’t just an important part of the future, it is the future. • Everything moving to Cloud, means everything generates data. • Simplification of big data platforms is a primary objective for almost all analytics software vendors. – Big scope • Everyone wants to explore big data, not only data scientist – ease of use for normal user – 400% increase by 2020 • UX folks had really bright future in Big data field.