Dramatic data analysis created by Node and Edge Graph DB-based data
analysis consulting that derives business value through relationship and insight between data

Numerous data that exist in the world are connected with relationships. Graph DB is a database optimized for specifying the relationship between data
and finding the proportion of insight and value generated from the correlation between data.
Encore Data Service Center provides graph DB-based data analysis and utilization services that can improve the efficiency of business
processes and derive new business values by analyzing the insights of various and complex data

Encore Data Service Center provides graph DB-based data analysis and utilization services that can improve the efficiency of business processes
and derive new business values by analyzing the insights of various and complex data held by companies.

Encore's graph DB-based data analysis
and utilization consulting service? By analyzing the correlation between various and complex data based on the graph DB, it provides a high-level data insight that
has never been experienced before. Using the graph DB that is optimal for customer needs and business,It provides new business value
as well as the efficiency of business processes.

• 01

  Korea's best graph DB expert group
  Graph DB's Network Theory experts.

• 02

  Data Service Center led
  by Hwasik Lee, CEO

• 03

  Partnership with Graph DB companies Efficient business cooperation by signing partnerships with major GraphDB companies (Neo4j, TigerGraph)

• 04

  provides customized services by encore's proprietary graph DB methodology

• 05

  Provide consulting based on excellent domain knowledge about any graph DB

• 06

  Flexible linkage support with Encore corporate data management consulting

What is Encore's graph DB methodology?

• Systematic graph DB
  construction methodology
• Accurate and fast graph DB
  construction by methodology
• Provide graph DB modeling
  optimal for domain characteristics

We build an optimal graph database to strategically utilize by searching a graph database suitable for the characteristics of the industry and business.

Comprehensively control the structure, performance,and sales achievement

• CompanyA사
• ProjectAnalysis and monitoring Sales organization network influence

• Purpose and Background

  Analyzing the structure of a large-scale sales organization and the correlation and influence of members within the network, and quantifying the characteristic weights to visualize and monitor performance and sales achievement rates to support data analysis and prediction of sales achievement potential

• Features

  A company's sales organization structure is zoomed in and zoomed out macroscopically, and growth potential and key indicators can be viewed in the organization chart according to the correlation between each data, and the relationship and weight of various evaluation indicators such as customer lifetime value, growth potential, and centrality are graphed. It is a business that builds a graph DB analysis platform so that it can be analyzed and visualized as a DB and used for review and monitoring for decision-making.

  1. 1 Quantification of all influence relationships and
     characteristic values inherent among members

     - Continuously manage the relationship and detailed details of mutual influence on sponsorship allowance, position allowance, and training allowance
     - Perform quantification by scoring very diverse characteristics of members using various algorithms
     - Build a platform that can accumulate data sources for graph DB for a long time to enable advanced analysis using network theory

  2. 2 Search and visualize various
     forms of membership structure

     - The basic structure of member organizations applied with the concept of short cut and scale is searched by various conditions.
     - Exploring the structure visualized by various characteristics of members in the organization
     - Visualization of the member organization that actually falls within the jurisdictional sphere of influence when various performances that have occurred during a specific period are reflected

  3. 3 Real-time position achievement
     probability monitoring

     - Monitoring the change in the possibility of achieving a specific position based on real-time generated sales
     - Alerting warning information when a red flag occurs in the possibility of achievement compared to past occurrence patterns
     - Develop countermeasures by simulating how high the probability of achieving my position increases when some members' performance is improved

• Utilization technology

  - Understand the need for structural analysis and various forms of the inherent organizational structure due to the disadvantages of Binary Network Marketing
  - In general, there is a high possibility of biased sponsorship according to small or large sales, and communication is also cut off depending on the leader's propensity.
  - There are many small organizations according to the ‘upper and lower down’ policy, and only about 10% of members receive sponsorship allowances.
  - Improving into a healthy organization by adding and predicting inherent relationships based on a graph database and quantifying organizational structure characteristics