IT Finance Data Challenge
The objective of this challenge is to create a Minimum Viable Product (MVP) that can analyze and visualize ADB’s enriched IT finance data to uncover unique insights and develop novel reports and analyses that enhance operational efficiency and strategic decision-making.

 

ADB’s IT spend data has been collected and validated according to the Technology Business Management (TBM) taxonomy, which already includes valuable reports and financial analysis. Participants are encouraged to propose innovative approaches that go beyond standard reports, leveraging these data and possibly external sources. 

“”

Asian Development BankChallenges by Inneürope

Scope

Creation of an MVP for IT Spend Data Analysis and Decision-Making

01

Desired Themes to Address in the MVP

02

Encouraging Creativity and Innovative Thinking

03

Key Features of the MVP

04

Target Users

05

Startups & Scouting

We are looking for startups, data scientists, analysts, and technology companies with a strong focus on data analysis. This challenge is open to: Startups specialized in Artificial Intelligence (AI) and Machine Learning (ML), Companies with experience in data visualization and Startups with expertise in integrating external data

 

Participants must be from the member countries of the Asian Development Bank (ADB). [See the list]

Benefits
Calendar