endorsedCompleted

Predictive Analytics MVP for Fintech Startup

Services Covered:

Custom Software Development

Industry

Financial Services

Duration

13 months

Budget

50K - 199K

Start Date

1 February 2019

Team Size

1-5 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

76/100

Good

Project Capability Score (PCS) estimates how capable DICEUS is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Tel Aviv, Israel

Project Summary

Diceus developed a predictive analytics MVP for a UX/UI design company building a fintech product, delivering a module embedded into the existing application. The project used Python, Power BI, Snowflake and Spark, progressed in a discovery phase and a development phase with two-week sprints, and was delivered with minimal delays. Early testing showed a 7% increase in customer activity, and the client praised the team's fintech expertise and SDLC practices.

Key Challenges

Lack of in-house expertise in fintech and AI/ML
Need to develop an MVP within a tight one-year schedule
Limited project budget

Project Deliverables

Predictive analytics module for refueling transactions
Predictive analytics module covering full customer behavior predictions
Embedded analytics logic integrated into the existing application

Project Solution

Diceus executed a two-phase engagement (discovery and development) to build and embed a predictive analytics module into the client's existing application. They ran two-week sprints, provided business analysis and PM oversight, and implemented models and reporting using Python, Snowflake, Apache Spark, Power BI and NoSQL. Phase 1 delivered predictions for refueling transactions; Phase 2 expanded the predictions to broader customer behavior.

Project Outcome

Goals achieved with minimal delays
Customer activities increased by 7%
Client planned continued engagement with Diceus

Platforms

AI/ML Platform

Tech Stack

Python
Snowflake
Apache Spark

Client Endorsement

Overall Review Rating

4.88

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Diceus managed to deliver the MVP in a timely manner with minimal delays. The latest results of the client's testing saw an increase in customer activities by 7%. The team has expertise in fintech and good English skills. They provided the best industry practices of SDLS for the project.”
Anonymous
Founder
Date: 10/06/2020