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A proof-of-concept project to empower internal data decision-making

A proof-of-concept project to empower internal data decision-making

Elice

12/7/2023

Ottogi

Industry, Regulation

Manufacturing/Construction
100 People

Elice Product

LXP

Purpose

Enhancement of In-House Data Capabilities

Proof of Concept (PoC) Project for Strengthening In-House Data-Driven Decision-Making Abilities


Ottogi

Ottogi stands as a premier comprehensive food company, committed to delivering safe, high-quality products through advanced facilities and stringent hygiene standards. At the forefront of the industry, Ottogi is embracing digital transformation to maintain its competitive edge. Specifically, the company seeks to boost its decision-making processes by harnessing the power of internal data. To realize this ambition, Ottogi partnered with Elice for a six-week Proof of Concept (PoC) project aimed at enhancing its data analysis proficiency and developing talent skilled in deriving valuable insights from internal data.


Thorough Pre-training for PoC Project

Before commencing the PoC project, comprehensive pre-training was conducted. A dedicated domain for Ottogi was established, and pre-training took place through the Elice platform. Building a solid foundation before initiating the project was crucial. Pre-training enhanced participants’ understanding and facilitated smooth project execution.

Ottogi, internal data, proof-of-concept projects, data analytics, data utilization
▲ Ottogi Dedicated Domain


The pre-training phase, incorporating theoretical lessons, quizzes, and hands-on exercises, was crafted to facilitate structured learning. AI assistants provided instant feedback and clarifications, supporting learners at their own pace. Although designed for the PoC project’s preparatory stage, the curriculum was carefully tailored to pinpoint and rectify any skill gaps. This thorough approach enabled participants to complete pre-training efficiently, laying a solid foundation for the PoC project.

Ottogi, internal data, proof-of-concept projects, data analytics, data utilization
▲ Elice Platform and AI Help Reference Screen


PoC Project for Enhancing Data-Driven Decision-Making Abilities

In the PoC project’s scope, “PoC” signifies “proof of concept,” a phase during which the project’s feasibility is assessed through testing or verification before comprehensive execution. A data analysis PoC project in a corporate setting employs company-specific data to solve challenges and meet objectives. Similarly, Ottogi’s PoC project leveraged internal data to refine its decision-making processes.

The project was designed considering Ottogi’s specific situation, maintaining security for internal data utilization. The goal was to enhance decision-making abilities based on internal data. The project involved collecting and analyzing internal data to derive insights and improve business processes. As it was a project using actual internal data, it focused on delivering content applicable to immediate business use. Tasks such as crawling Naver reviews, analyzing trend data using analytical tools, deriving insights from sales data, and formulating sales strategies were carried out. Participants gained hands-on experience in the entire data analysis process through visualization.

Ottogi, internal data, proof-of-concept projects, data analytics, data utilization
▲ Students working on a proof-of-concept project.


Expertise of the Instructor and Close Communication

In offline education, effective communication with instructors significantly impacts the satisfaction of participants. The instructor for Ottogi’s PoC project, with extensive experience in the field, maintained a high level of participant satisfaction. Besides delivering lectures, the instructor managed the learning process meticulously, encouraging active participation.

Ottogi, internal data, proof-of-concept projects, data analytics, data utilization
▲ Q&A reference screen for questions and feedback


Throughout the project, the instructor managed dual roles of teaching and project mentorship, ensuring questions were promptly addressed through regular Q&A sessions for a cohesive project conclusion. Weekly interactions and feedback exchanges established an effective communication channel between the instructor and participants, contributing to the project’s refined outcome. The instructor’s enthusiastic teaching method inspired active participant involvement, culminating in the successful completion of the project and the awarding of education completion certificates.


High Participant Satisfaction and Positive Reviews

Ottogi’s PoC project achieved an average satisfaction score of 4.8 points, with a perfect education satisfaction score of 5 points, indicating high overall satisfaction. Particularly noteworthy were the opinions expressing appreciation for learning practical methods of utilizing technology in real-world scenarios, given the nature of the PoC project utilizing internal data. Participants found value in deriving insights from internal data, learning practical application methods, and assisting in making better decisions based on data. Positive feedback indicated a successful learning experience.

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The case of Ottogi’s educational initiative underscores the importance for businesses today to actively engage in digital transformation, customized to their unique circumstances. Elice specializes in evaluating the digital transformation status of companies, assessing educational needs, and delivering tailored educational programs. With an increasing number of companies seeking to enhance their data collection and analysis skills, Elice provides industry-specific DX solutions that align with each company’s digital transformation readiness. For organizations aiming to bolster their internal data utilization or seeking customized DX educational strategies, engaging with Elice’s solutions comes highly recommended.


👉 Learn more about Elice DX Education

👉 Consult with us for tailored DX education for your company


*The content is copyrighted in Elice as a work protected by copyright law.

*Secondary processing and commercial use of the content is prohibited without prior consent.

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