Data Utilization Consulting
Recommended for organizations that:
- Have been encouraged by management to promote data utilization, but are unsure where to start
- Understand the importance of data utilization, but lack in-house expertise or practical experience
- Face resource constraints and feel uncertain about building and driving a project structure
What is Data Utilization Consulting?
Through our Data Utilization Consulting service, we support the design and implementation of a data utilisation platform that enables service enhancement and the creation of new business value.We help organizations collect data from a wide range of internal and external sources, prepare and structure it for analysis, store it effectively, and ultimately put it to practical use.
Data utilization platform initiatives are generally progressed through the following phases.
Key Features of Data Utilization Consulting
01 End-to-end support from current state assessment to solution design
Our data scientists conduct statistical and analytical assessments to identify current conditions and challenges, and to derive potential solution directions.This enables us to support data-driven decision-making by providing insights that clarify issues and inform strategic choices.
02 Use case design driven by business operations and decision-making
Rather than treating data utilization as an end in itself, we start by identifying which business operations and decisions the data is intended to support.Based on this perspective, we define and structure data utilization use cases, preventing common issues where analytical outputs fail to translate into operational or management decisions.
This approach ensures that data utilization initiatives are practical, relevant, and actually adopted across the organization.
03 A realistic, phased approach to implementation
Recognizing that early-stage investment decisions can be challenging, we adopt a phased implementation approach, using PoCs and incremental rollouts to validate effectiveness before scaling.This supports the creation of a sustainable data utilization foundation, designed with future expansion and advanced use cases in mind.