Application of a Hybrid Big Data Methodology Combining Top-Down and Bottom-Up Approaches

A Question-Driven 

Approach

Focus and Prioritization for 

Goal Achievement

Business Processes Embedded with Analytics Services

Process for Identifying Analytics Opportunities 

Through Business Model Analysis

Managing an Analysis Task Pool Based on Business Scenarios

We have derived more than 50 key analytics projects based on business scenarios and 

built a prioritization matrix that allows us to align with customer requirements.

We provide tools to implement AI models 

that can be explained through data models.

Our modeling not only handles simple missing values, noise, and pattern detection, 

but also uncovers the hidden meanings within data by incorporating a deep understanding of the business ecosystem. 

This enables us to provide precise, business-relevant explanations of AI algorithm outcomes.

Differentiated Standard Info and Data

Based on our business experience, knowledge, and expertise, 

we developed a Data Collection Definition Document 

that categorizes [reference information] and [operational information] for each entity. 

This serves as the foundation for deriving our data modeling results.