Helping businesses gain insight on their data through voice, and discover content across their organization.
SAP Analytics Cloud provides end-to-end analytics for business, helping them make decisions through their data through visual dashboards. This product combines BI, planning, predictive, augmented analytics, and machine learning capabilities through the cloud.
My role:
Through 16 months as a UX Design Intern, I worked on different LOBs including the Platform team (May 2019 - Dec 2019), along with the mobile team (Jan 2020 - Aug 2020). Working alongside product experts, engineers, and fellow designers, my responsibilities included:
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Owned the voice UX mobile integration, working with product experts and engineers to deliver the Q1 2021 scope for a top customer request
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Collaborated on delivering a data governance feature, helping to create user flows and scenarios to deliver the 1st version in Q1 2020
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Synthesized the future vision documentation for the mobile app, ensuring mobile to desktop feature parity for the product roadmap
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Worked with engineers and product experts, identifying areas of improvement through research and prototyping for over 10 user stories
Voice to Insight:
I worked on bringing voice implementation to the mobile app for business insights, building off the Search To Insight feature. Using natural language processing, I helped to further the mobile use case of gaining insight on users analytical questions to allow users to gain business insights through voice.
This challenge was unique because we had to consider an interaction method where we had to determine the precise dataset which a user would want. This is because there could be many business models to choose, with each model being potentially complex depending on how it was set up. To get the correct insight, users need to be able to determine the correct model.
On desktop, this is easier because as you type, you can select a model directly. But with voice, speaking and getting a result has to be fluid with minimal additional interaction.
The result was a workflow that could be integrated directly into the text-based Search to Insight feature. We would return the most popular entity result, but also allow for the familiar interaction of entity selection, built into the behaviour of voice.
You can learn more about this in the above video, along with a blog post.
Analytics Catalog:
I also worked on Analytics Catalog, helping users discover content in a central area.
As an example, think about your Documents folder with probably multiple files, and you're trying to find one specific file tucked away in an obscure folder. Might not be so easy?
The solution was a guided browsing experience, with enhanced metadata and custom filters. By having a central place to discover content, there’s no need to show folders, but rather have everything in a single view, with content curated for each user based on their permissions.
You can learn more about this in this blog post.
All other work and future scope of projects showcased here is under an NDA, but I would be happy to discuss my experience and takeaways from this internship in-person or at an interview.
And a huge thank you to my mentors: Salathiel, Vince, Brianna, Lauren, Joelle, and Brett for empowering me throughout this internship.