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​Enterprise Data Security
​and Observability

​Enterprise Data Security and Observability Service Design contains a set of multiple projects which are related to a common theme of Security of Organization’s Backed up Data and Access to that data. 
This product will help users to 
  • Prevent security events like Unauthorized access, Hacker Attacks, Ransomware Attack
  • Provide Visibility on who is accessing the organization's data and from where
  • Provide ability to recover the deleted data 
Design Process:
We followed a Lean UX process while designing these individual projects.
Identifying the project which is most critical first, requires minimum development effort and achieving the business goals first and starting the design.
After prioritization we started our design with Security Dashboard as first feature
​

Research and Requirements

Qualitative research on what are different Security Events that have happened in the past with the clients, and what are the factors responsible for those events.
Quantitative research on Admin logins and their Data access pattern, How the existing users are accessing the data. 
Interviews Conducted with Support teams, Customers Security admin, SMEs
​Competitors Analysis on what other products are offering and what they are missing

​Based on the research we come up with the list of feature to be included in the product To enhance the data security posture and to safeguard backup data from deletions triggered by rogue administrators, ransomware attacks, or operational incidents.
​

These features became individual projects later.
  1. Multi-Factor Authentication(Project 1) -  To prevent Unauthorized access of DataInstead of using only Username and Password to access the Data we added one more layer of security as a form of OTP.
  2. Security Dashboard(Project 2) - To provide maximum visibility to security admins 
  3. Recycle Bin(Project 3) - To recover the accidentally deleted data or data deleted due to a security events
  4. Unusual Data Backup Analyzer(Project 4) - Analyzing the Customer data backup patterns through Artificial Intelligence
​​

Design - Design Communication - Design Implementation - Usability Testing

Picture
   
  • Analyzing the existing data we already have
  • Identifying the Data we are going to need
  • Defining the User journeys
  • Designing the Information Architecture
  • Validating the User journeys with the stake holders and Users
  • Validating the technical feasibility of Each Journey
  • Designed the Low Fidelity Wireframes
  • Designed the High Fidelity Wireframe
  • Usability Testing of Design
  • Defining the UI Spec using Design Language System
  • Communicating the Design to Development and Testing Teams through UI Walkthroughs
  • Helping Frontend UI Dev team in Design Implementation
  • UI Review and Testing of Implemented designs
  • Monitoring the usage of features, Analysing the adoption for future learning and making improvement in subsequent releases.

High-fidelity prototype

Challenges and Learnings

Working with multiple teams and multiple stakeholders at the same time and acting as a bridge between Project Teams, Stakeholders and Users was one of the biggest challenge here.
Eliminating competition by providing the solutions which do not exist in the market and to complex problems taught me a lot about taking risks and becoming the voice of users back in office.


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