DataSnipper Features
Analytics (3)
Behavior Analysis
Identify employees or suppliers that are more likely to commit fraud.
Risk Analysis
Determine what risks are more likely to have a negative impact on financial transactions.
Optimization
Deliver suggestions to optimize spend by limiting fraud and violations.
Audit (4)
Automation
Automates the review of multiple types of financial transactions such as invoices, expenses, and contracts.
Risk
Determine potential financial risks such as fraud and price violations.
Compliance
Align with internal policies and financial regulations to ensure compliance.
Globalization
Analyze financial transactions and documents in multiple languages and currencies.
Reconciliation (3)
Consolidation
Data from multiple systems can be centralized into a single repository
Management
Financial information can be imported from multiple sources such as spreadsheets, text files, or databases
Accounting
Match invoices, payments, and bank statement information
Reporting (3)
Report Types
Provide multiple types of reports such as point-in-time snapshot reports, or year over year
Standard
Offers standard financial reports out of the box
Custom
Allows users to edit reports and to combine multiple reports
Closing Process (3)
Audit
Creates workflows to assign tasks for audit and inspections, monitor work in progress, timelines, and approvals.
Journal Entries
Adjusts journal entries in order to have an accurate balance sheet and income statement
Distribution
Financial statements and statistical reports (such as KPI) can be assembled into financial packages
Communication (3)
Client Portals
Provide portals for customers to communicate with accountants
Automation
Automate client requests and reminders
Consolidation
Consolidate communication between accountants and clients
Collaboration (3)
Collaboration
Provide repository to collaborate on email, clients, jobs and tasks
Tasks
Create tasks and sub-tasks with assignee, status and due date
Version Control
Provide real-time access of files with the most updated versions
Billing (3)
Time
Track the status of each project and calculate billable time
Reporting
Run reports on billing, time, revenue, credits, etc.
Invoices
Create invoices for services provided and track payments
Onboarding (3)
Templates
Standardize the onboarding process with templates
Checklists
Assing tasks and checklists to new clients
New Client
Create new client in system once propsal is accepted
Visibility (6)
Job Status
Know where every job stands, who’s working on what, and what’s being said to clients
Metrics
Track/uncover metrics to improve firm decisions and efficiency
File Organization
Share, save, and organize files
Audit Trail
Provide a detailed audit trail
Notifications
Receive real-time notifications via email and/or IM about new assignments, updates, and due dates
Integrations
Manage integrations for accounting, project management, email, data integration, or similar platforms
Data Capture (2)
Multi-format Support
Allows the user to process documents in various formats such as PDF, DOCX, and JPEG.
OCR Capabilities
Gives user the ability to convert different types of documents into machine-readable text using Optical Character Recognition (OCR).
Data Extraction (2)
Entity Recognition
Enables the user to identify and extract specific entities like names, dates, and addresses from documents.
Text Classification
Gives user the ability to categorize sections of text within the document based on preset criteria.
Data Validation (1)
Accuracy Checking
Provides the user with the capability to validate the extracted data for accuracy.
Workflow Automation (2)
Batch Processing
Enables the user to process multiple documents in a single batch operation.
Process Integration
Gives user the ability to connect to automation technology, such as robotic process automation (RPA).
Document Management (2)
Search Functionality
Enables users to search through the content of processed documents easily.
Version Control
Allows the user to track changes and manage different versions of a document.
Machine Learning (1)
Custom Model Training
Gives user the ability to train custom machine learning models for specific data extraction tasks.
Natural Language Processing (1)
Sentiment Analysis
Provides the user with the ability to analyze the sentiment expressed in the textual content of the document.
Semantic Analysis (1)
Contextual Understanding
Allows the system to understand the context of words and phrases for better data extraction and classification.
Data Integration (1)
API Support
Provides the user with the ability to integrate the IDP system into other applications through APIs.
Security (2)
Compliance Standards
Assures the user that the system complies with industry regulations like GDPR.
Data Encryption
Ensures that all data processed is encrypted for security.
Agentic AI - Accounting Practice Management (3)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Agentic AI - Financial Audit (1)
Proactive Assistance
Anticipates needs and offers suggestions without prompting
AI - Financial Close (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Compliance
Uses AI to ensure the following of rules and creates detailed audit trails which helps compliance and audit preparation.
Reconciliation
Uses AI to match transactions across accounts and systems, and flag exceptions and discrepencies.
Data Collection
Uses AI to extract, clean, and validate financial data from disparate sources, while identifying errors and inconsistencies.
Analysis
Generates AI-assisted financial reports and provides thorough analytical insights.





