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Why you should opt
Konan Analytics

Quick decision-making in rapidly changing business environments
requires business insights based on data.
Acquire business insights necessary to establish strategies with
in-depth business data analysis using Konan Analytics.

Konan Analytics is an “intelligent text analytics engine”
that lets you discover business insights by analyzing structured and
unstructured data based on machine learning, AI, and data science technologies.

If you want to analyze semi-structured data,
such as search logs and web logs,
to gain business insights, what should you do?

If you need a personalized solution for
individualized recommendations based on
user behavior analysis, what should you do?

BENEFITS

Benefit 01.

Enhanced Task Productivity & Provision
of Objective Results

Konan Analytics can assist your decision-making in tasks through its AI model.
The solution minimizes the manual work that has to go through human hands,
including broadcast screening, medical diagnosis predictions,
and policy examination, leading to enhanced task productivity and decreases subjectivity interference to reduce the risk of claims of unfair treatment.


Benefit 02.

Deep Natural Language Processing-based Data Analysis.

The solution utilizes cluster architecture to analyze large amounts of
data rapidly and obtain more accurate results than existing
rule-based methods through in-depth natural language processing,
including deep learning, emotion analysis, automatic summary,
machine reading comprehension, and named entity recognition.


Benefit 03.

Quick Overview of Analysis Results

Konan Analytics provides graphs and a dashboard.
You can check analysis results instantly through graphic elements,
such as charts and network maps.
The solution also comes with an API to smoothly connect
and share data with social media and websites.


Benefit 04.

Enhanced Business Insights

You can receive insights into important issues and related
terms in business data.
It is convenient for analyzing trends and major issues because it
extracts changes in the ranking of key issues and keywords
by important periods.

FEATURE

Intelligent Text Analytics Engine

Konan Analytics

  • Using the GUI, you can easily and intuitively manage complex data processing tasks such as data pre-processing and exploratory analysis.

  • The solution conducts tasks such as analysis, prediction, and summary through machine learning and an AI-based learning model.

  • It supports a variety of models, from simple tree models to complex deep learning. There is no need to make the model learn on-site, as you can download the learning-prepared model and apply it immediately.

  • You can easily implement custom analysis features through “K-Language,”the big data analysis programming language.

  • The solution enables Deep Natural Language Processing analysis support, such as emotion analysis based on deep learning, automatic analysis, machine reading comprehension (MRC), and entity named entity recognition (NER).

  • The solution extracts knowledge and insights from structured and unstructured data through pre-processing, visualization, and modeling.

TECHNOLOGY

Konan Analytics

USE CASES

The AI can simply take care of all the tasks that had to be
examined page by page by human workers.
Using AI, Konan Analytics allows various industries to
enhance work efficiency and reduce costs in broadcast deliberations,
medical diagnoses, policy examinations, and anomaly detection.

(A홈쇼핑사)

CASE 01. Text Analytics System With Real-Time Broadcast Deliberation Anomaly Detection (Home Shopping Company A)

Introduction effect

  • Minimized regulation violations and restrictive measures by preemptively detecting remarks that fall outside of broadcast deliberation guidelines
  • Relieved the labor intensity for staff required to make 24-hour non-stop responses.
  • Resolved the issue of deliberation results becoming inconsistent according to monitoring agent

고려대학교 병원

CASE 02. Lung Cancer Radiotherapy Side Effect Prediction System (Korea University Anam Hospital)

Introduction effect

  • Assisted medical staff’s decision-making through AI model
  • Proposed optimal therapy for the patient, including decision of radiation amount, treatment schedule, simultaneous chemotherapy treatment, etc.
  • Revealed the potential for overcoming medical service quality issues due to clinical experience differences

인사혁신처

CASE 03. Personnel Policy Support Platform for Policy Management Based on Data (Ministry of Personnel Management)

Introduction effect

  • Enhanced task productivity through minimized manual examinations
  • Reduces personnel policy costs by equipping a system that can be readily used instead of existing processes with issues in availability, such as Personnel Committee deliberations
  • Reduces risks of unfairness claims by lowering the interference of subjectivity in personnel recommendation process

롯데백화점

CASE 04. VOC System AI Analysis (Lotte Department Store)

Introduction effect

  • The analysis project, which had been dragging on for 2 years with a foreign solution, was successfully concluded with the implementation of the system.
  • Acquired insights by providing an integrated analysis dashboard with AI customer satisfaction index, risk keywords, and management point keywords
  • Enhanced counselor’s productivity through automatic recommendations on similar VOC handling cases

국회도서관

CASE 05. National Academic Information Cloud Advancement Project (National Assembly Library)

Introduction effect

  • Provides assistance for same/similar researcher classification even if the librarian does not have expertise in given research field
  • Even expert librarians, working alone, would take 300 years to handle the volume of work that can now be processed rapidly through the system, leading to enhanced productivity.
  • Produces high-quality task results with low error ratios compared to existing similarity comparison system

Konan Analytics has been established and applied to diverse industry sectors,
including governmental and public areas, public agencies, research institutes,
finance, manufacturing, IT, distribution, shopping, education, and medical.

Government / Major Departments

Public Agencies / Research Institutes

Finance

Manufacturing

IT / Distribution / Shopping

Education / Medical

Other

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