D&B Finance Analytics Credit Intelligence Features

Customer Credit (5)

Credit Limits: Define credit limits per customer or by customer type.
Credit History: Track the changes made to credit limits and the corresponding reasons.
Credit Limits Adjustment: Adjust credit limits manually or automatically (based on pre-defined threasholds).
Integration with Credit Rating Agencies: Such as CreditSafe, Searches Group, Credit Assist, Experian, Equifax, and Dun & Bradstreet.
Credit Limit Suspension: Ability to revoke credit limits temporarily or permananetly when the amount due by a customer exceeds a predefined amount.

Incomplete Payments: Identify incomplete payments and track the rest of the amount due.
Match Invoices and Payments: Track one to many and many to one relationships between invoices and payments.
Errors and Adjustments: Identify invoicing errors such as the wrong amount or due date, and make sure that customers pay the correct amount on time.
Cash Application: Apply payments to the right Accounts Receivables accounts for each customer.

Late Payments: Manage late payments by time buckets (30, 60, 90 days).
Disputed Transactions: Workflows to manage and escalate disputed transactions.
Personalized Customer Messaging: Ability to communicate with customers using the best channel (ie SMS, online chat, and social media), message, and timing
Customer Profiles: Comprehensive view of customer details for collections agents.

At Risk Customers: Identify and flag customers that are more likely to pay late.
Esimated vs Actual Receipts: Calculate the total amount received during a time period and compare with the estimate.
Collections Effectiveness: Use KPIs to monitor the effiency of the collections department.
Scaleability: Ability to scale to any collections volume, at any time
Artificial Intelligence: Maximize engagement using live data, behavioral insights, sentiment analysis and payment history
Compliance Control: Ability to identify and adjust to updated rules and regulations

Data Import: Financial information can be imported from multiple sources such as spreadsheets, text files, or databases
Data Consolidation: Data from multiple systems can be centralized into a single repository
Data Validation: Financial data can be validated to avoid duplicates and errors

Reporting Hierarchy: Administrators can define and manage the reporting structure and access rights to each report
Report Templates: Templates that can be used to create new reports without starting from scratch
Report Types: Provide multiple types of reports such as point-in-time or snapshot reports, year over year, or time to date

Standard KPIs: Include most common financial KPIs such as gross and net profit margin, or working capital
Standard Reports: Standard financial reports are provided out of the box
Financial Statements: Ability to analyze financial statements such as income statement and balance sheet
Drill Down: Users can drill down to the detail level of each transaction or financial entry

Dashboards: Dashboards can be customized to display different types of data from various sources
Custom KPIs: Users can modify standard financial KPIs and metrics
Custom Reports: Allow users to edit reports and to combine multiple reports
Self Service: A dedicated portal for external users with limited access to the system
Multiple Entities: Monitors the financial performance of multiple entities

Status: Reports on the status of invoices or payments
Customer Credit: Run reports on customer credit
History: Tracks all transactions, from issuing invoices to payment reminders to receiving payment

Credits: Manages credit limits based on customer credit scores, payment history, or other financial metrics
Invoices: Creates or imports invoices
Payments: Collects different payment types and manages payment terms

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Multi-step Planning: Ability to break down and plan multi-step processes
Adaptive Learning: Improves performance based on feedback and experience

Generative: Sends automated messages and reminders, resolves disputes, or does proactive outreach.
Responses: Responds to basic questions from inbound emails.
Predictive Analytics: Analyzes past transactions to make a prediction of when future payments are likely to be paid.