Enosis Outsourcing logo
EndorsedendorsedCompleted

Predictive Analytics MVP for Fintech Startup

Services Covered:

Custom Software Development
Project hero — replace with case study imagery
Industry
Industry

Financial Services

Duration
Duration

13 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 February 2019

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
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

mapTel 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 PlatformAI/ML Platform

Tech Stack

  • PythonPython
  • SnowflakeSnowflake
  • Apache SparkApache Spark

Client Endorsement

Overall Review Rating

4.88star

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

Note: This endorsement is based on publicly available client feedback from external review sources.

More Projects by DICEUS

See All Projects by DICEUS