DataSy
Bridge the gap between business analysts and data scientists
kick-off
an analytical platform for business analysts
DataSy is a project inspired by a real-life client project. Unfortunately, in order to protect client confidentiality, I cannot reveal the name of the client or any specific information to their industry.
the problem:
Our client, who owns several digital products, had to cope with an immense amount of data. The client's Business Analysts, has to process this large amount of data. Due to a bottleneck caused by relying on Data Scientists for assistance, Business Analysts had difficulty handling this data. My task was to demo a platform that would solve this bottleneck.
The Challenge:
  • Explore the roles and work flows of Business Analysts and Data Scientists in a short time.
  • Provide an easy-to-use platform design for complex data processing.
my role:
UX/UI Design
As the client already had a Design System, I only designed the UX for the original project, but in this use case I designed an alternate UI design.
01
Research
Learning The field and the users
The Business Analyst's role
Analyze business data to identify trends and insights that help organizations make informed decisions.
The Data Scientist's role
Develop and implement predictive models  and algorithms to solve complex business problems.
Thus, the Business Analysts had to rely on the Data Scientists' models and algorithms.
personas
The experienced BA
Motivation
  • Has worked in the industry for several years and is a professional in using existing data analysis tools.
Frustration
  • Often found it challenging to work with complex data sets and required the Data Scientist's assistance.
The junior BA
Motivation
  • Eager to learn and grow professionally.
Frustration
  • Lacks the necessary experience to deal with complex data sets.
  • Often feels overwhelmed and afraid to ask for help, which leads to analysis mistakes.
benchmark
In our benchmarking, we examined Google Analytics, Power BI, and Tableau, as these platforms offer a variety of relevant features and capabilities for comparison and inspiration.
solution
1.
Take the most necessary algorithms and make their implementation simple by pre-defining events and metrics.
2.
Break down the process into sub-tasks, arranged in a built-in wizard.
3.
In each task, immediate feedback will be given.
4.
Allow different entry points to the process.
02
wireframes
home screen
On the home screen, BAs can access a personalized dashboard, which is also serving as the starting point for initiating the "New Project" flow.
“new project” flow: step 2 - metrics definition
"New Project" flow includes four steps, from defining new Events to sharing the final project report. It was not my mission to design the first step.
This screen is divided into two sections: Definition for metric calculation and preview, which dynamically updates with real-time data as the Business Analyst fills out the relevant fields.
“new project” flow: step 3 - metrics exploration
Metrics Exploration serves as the Business Analyst's canvas. After defining the relevant events and metrics, this screen allows the analyst to explore the data by visualizing it in various ways. This is done by drag and drop metrics and dimensions.
03
Design
DataSy's UI design aims to strike a balance between an official, reliable aesthetic, and a friendly touch. Rounded "Bellota Text" typeface and the well-known "Work Sans" typeface were combined to create this effect. In addition, I used a blueish color palette of blacks, greys, and whites with a dominant orange to add a gentle lively touch.
Typography
Palanquin
Aa 123 Aa 123
color pallete
Primary
Accent
Blacks, Grays & Whites
Home Screen
metrics exploration
metrics catalog
Each step of the "New Project" flow can be accessed separately through the side navigation menu. Here, the Metric Catalog screen serves as an example of accessing a specific step outside of this flow. In this screen, users have a centralized platform to browse, edit, and create metrics.
Closing
how can we measure success?
1.
Client Adoption: DataSy demo will be implemented into an internal platform.
2.
Efficiency and Time Saving: Comparison of efficiency gains achieved through DataSy's use with the reduction of time spent on data analysis tasks.
3.
User Feedback and Satisfaction: Assess user satisfaction by conducting surveys or interviews, identifying areas of improvement and validating how DataSy meets user needs.
Let’s talk!
050 4321 729
nogah555@gmail.com