This is a program that allows you to quickly and accurately view others' financial information.

Conversely, it can also accurately communicate your own financial information to stakeholders.

This is a method for businesses (organizations) and stakeholders to trust and communicate financial information. It verifies the transparency of accounting and encourages transparent accounting practices.

 

This program includes

Viewer #1 : Entry Explorer

Displays the results of the journal entries using an infinite filtering method, represented in data tables, Summary, heat maps, probability distributions, time series distributions, and account-specific summaries.

Viewer #2 : Double Entry Filter

Finds journal combinations in double-entry bookkeeping and filters out inappropriate accounting treatments or irregularly processed entries.

Viewer #3 : Contra-Entry Tracking

Tracks the counter account of the queried account to identify how the queried account was created and how it was settled.

 

Viewer #4 : Monthly Account Flows

Shows changes in monthly balances, debits, and credits in a visual table and composite chart format. You can adjust the period range for queries and drill down to the supporting vouchers.

Viewer #5 : Image Map Flows

Visualizes changes in assets and liabilities at the account item level using a scatter chart. This variance analysis screen is designed to easily find the supporting vouchers while scrolling through the chart.

Viewer #6 : Heat-Map Calendar

Displays changes at the account group or account item level in a heatmap for easy recognition. Additionally, by clicking on the relevant item, you can find the supporting vouchers.

 

Viewer #7 : Deep Learning - LSTM

Creates a monthly time series of account-specific data fluctuations, displays them in a regression model, and uses Long Short Term Memory for deep learning to make predictions.

Viewer #8 : Customers, Suppliers

Fetches and analyzes vouchers by customer and supplier to track how Account Receivable and Account Payable occurred and were settled, visualizing the data in a bubble chart.

Viewer #9 : Audit Trail Reports

Reconstructs various financial statements from journal entries to verify if the financial statements were properly created and allows tracking of the basis for their preparation.

 

Validate Transparent Accounting

1.with Data Profiling

Narrowing down the scope of a risk while filtering individual journal entries.

Refining into minimal sets of Debit-Credit pairing and then identifying incorrect journal entries.

Finding counterpart accounts and verifying causal relationships.

Creating data at the transaction level and identifying improperly reconciled data.

2.with Flow and Pattern Analysis

Creating data into monthly and daily flows to identify any changes.

Using heatmap visualization to pinpoint differences and locate relevant data.

Identifying data deviating from statistical patterns and investigating the reasons.

3.with Financial Report Decoding

Recreating financial statements from vouchers and comparing them with disclosure information.

These financial statements are designed for decoding, including monthly summaries and drill-down capabilities.

Now, you can pinpoint the causes of fluctuations in financial statement figures based on facts.

 

Who Uses It and Where

• It is used by a company's stakeholders or audit department when they need to analyze the company's financial information from various perspectives or conduct forensic investigations.
• It is used to manage the financial information of overseas subsidiaries or collaborative companies from the parent company.
• It is used to conduct precise inquiries into target companies during mergers and acquisitions.
• It is used by investment and lending institutions for pre- and post-investment management purposes, and by public funds to prevent leakage of public funds.
• It is used to verify the accounting transparency of public institutions, associations, and other non-profit organizations.

 

Technical Features

• Compatibility : It can import journal entries from all domestic and international financial systems.
• Standardization : Standardizing accounting data storage and aggregation to integrate all domestic and international financial information into one place.
• Speed : Designed as a Single-Page Application (SPA) for 10x faster responsiveness, with a multi-screen structure for 10x faster task execution.
• Scalability : It can be integrated as an expansion program into different financial systems, and its own model can be created for data mining purposes.

 

Data Cleansing and Correction

Data cleansing and Correction is similar to organizing a wardrobe. Just as there are endless combinations for organizing a wardrobe, such as summer clothes-winter clothes, tops-bottoms, formalwear-casualwear, and outerwear-underwear, the way you organize your data creates value.

Cleansing data is akin to displaying products in a store. In a store, the arrangement and display of products also add value.

In NineViewer, we have enhanced the value of data by adding an automated cleansing process during the data retrieval phase from accounting sources.

 

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