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SOLUTIONS

Data & Relationship Analytics Solution

A solution that structures business data and analyzes the relationships within it through charts and network graphs.

When business data is spread across several systems, table-by-table queries alone rarely show how entities connect. The AxisNet core engine structures the data, loads it into a data warehouse, search index, graph database, and vector database, and provides chart analysis, relationship analysis, search, and drill-down on the same dataset. Data models and screens are configured to each client's requirements.

Architecture

ArchitectureData from customer business systems is structured and loaded into relational, full-text, graph, and vector databases, then delivered through a REST API to chart, network, and search screens. Specific products, UI, and operating environments are decided per project.
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SUB-SOLUTION 01

Data Upload & Profiling

Upload an Excel file (.xlsx, .xlsm) and AxisNet detects its column types and registers it as an analysis dataset. Narrow the data by category, date, or measure, and review statistical summaries, correlations, rankings, and outliers in one panel.

SUB-SOLUTION 02

Pivot-driven Visualization

Lay out a dataset's rows and columns to build a chart. Switch among 16 chart types in 4 groups to compare views, and add reference lines such as mean, standard deviation, and regression. Drill down from any chart point to the source data, and export each chart as an image or a table.

SUB-SOLUTION 03

Network Relationship Analytics

Map dataset columns to nodes and edges to build a relationship graph. Centrality and shortest-path analysis find key nodes and paths, search and node expansion adjust the scope of analysis, and a timeline shows the distribution over time alongside the graph. Save a graph to a file and reopen it later.

SUB-SOLUTION 04

Custom Dashboard

Place saved charts and graphs as widgets to build dashboards by topic. Organize dashboards into tabs; changes are saved automatically.

Key Screens

AxisNet screens for data upload and field matching, chart visualization, and relationship analytics.

Data Upload & Profiling — Automated Field Matching
01 · Data Upload & Profiling Automated Field Matching Similarity-based column match suggestions for uploaded datasets
Pivot-driven Visualization — Cross Pivot Analysis
02 · Pivot-driven Visualization Cross Pivot Analysis Cross-tabulation built from a row and column layout
Pivot-driven Visualization — Regional Bar Comparison
03 · Pivot-driven Visualization Regional Bar Comparison Category distribution comparison with the maximum highlighted
Pivot-driven Visualization — Regional Cluster Map
04 · Pivot-driven Visualization Regional Cluster Map Location data shown as map bubbles and clusters
Network Relationship Analytics — Node Relationship Definition
05 · Network Relationship Analytics Node Relationship Definition Definition and editing of relationship types between nodes
Network Relationship Analytics — Graph Mapping
06 · Network Relationship Analytics Graph Mapping Mapping of dataset columns to nodes and edges

※ All data shown on-screen is fictitious, generated with AI.

Use Cases

  1. 2024Korean National Police Agency

    “Next-Generation Forensic Science Platform” Project

    Used for data analysis and relationship visualization.

  2. 2023Korean National Police Agency

    “Cyber International Cooperation Portal System Enhancement” Project

    Used for data analysis and relationship visualization.

Operating systems, server specifications, and storage configuration are sized to the data volume and requirements of the deployment environment.

Adoption Inquiry

We provide configuration and rollout guidance based on your requirements and operating environment. Demo and proposal requests are handled through the same contact.

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