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Anchor 1
Data Service Management
User flow / IA / Prototype
Story
Missing 80-90% of data which is unstructured, resulting in incomplete reporting = poor decisions made. Siloed analysis resulting in complicated inefficient processes. Selective analysis results in hours spent capturing the wrong data for analysis.
Error correction is lengthy and intensive work. Analyzing 10-20% of data only results in large data bias, which results in risk increase. Difficulties in distinguishing what is insight and what is noise.
90% Dark Data
10% Structured Data
Duration: 4 Weeks
My Role
Identify the problem and user needs with stakeholder's and users.
Defining user flow
Wireframing and prototyping
Visual Design
The Problem
To optimize data management process extracting values and with automation generate concise reporting for benchmarks which will lead smarter and easy business decisions to make.
Understanding
As kick off , I need to analyze how Talos functions and what is the user goals and needs.
User roles & stories
Have an authorized access of the views. Able to see metrics on their area of expertise e.g. “Incident Management. Able to change dashboard view of layout / graph etc.
End User - SMEs
Be able to ingest data from supported data sources into the system with minimal effort. Select a set of insights they desire and choose specifics of how its run with a point-and-click interface
Data Citizen
Ability to built new insights/flows. Ability to extend/modify the common data model for ingestion / wrangling etc
Data Scientist
Manages and have access towards all activity of Talos like installaing Talos, Upgrades where required, troubleshoot technical constraints, create and manages systems permissions
System Admin
Elucidate
I interviewed the user and understand the flow they usually perform and how with automation could be seamlessly performed in Talos.
User Flow Diagram
Story Mapping
Talos process diagram - Data-led optimisation
Insights
Based on the findings and brainstorming with users insights to drive the outcomes for MVP.
Values
Wireframe
Based on the findings and brainstorming with users insights to drive the outcomes for MVP.
Automation led data optimization
Based on the findings and brainstorming with users insights to drive the outcomes for MVP.
#1 Pre- processing
After uploading file system will pre-process it and validate with guidelines which will be captured in Talos.
User can preview the validated data fields
#2 Configuring data types & constraints
Based on the findings and brainstorming with users insights to drive the outcomes for MVP.
#3 Preview final data set
Based on the findings and brainstorming with users insights to drive the outcomes for MVP.
Reflection
Artificial Intelligence in UX always motivate me to work with challenges and also understood to set the trend what the future is providing. The interesting piece of the MVP is to automate the data cleansing in Talos itself and shortening the report generated by AI. Here transparency that creates through AI among all users will help to create generative insights from data to take better business decisions.
Next Steps ----
> Collaboration of team and other users
> GPT approach for dynamic AI
> Accuracy in the test cases for creating generative benchmarks
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Hey! Looking for full-time opportunities.
Feel free to contact me. I'd be happy to collaborate.
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