When your business needs to get more insight from the data you have, or you're ready to take your analytics to the next level, we're here to help.
Our highly skilled Advanced Analytics Services team of modelers and data scientists is expert in the development of Custom Analytic solutions that address your unique business challenges - giving you a distinct, competitive advantage in your marketplace. Market-sensing analytics to help you take a risk-based approach to compliance across your customers, vendors and suppliers.
Custom Analytic Solutions (A-Z)
Custom Analytic Solutions
Active Account / Behavioral Model
Measure the likelihood of an existing account exhibiting negative payment behavior (i.e. delinquency or write-off) within a specific time period. This model combines your account history with external data sources to maximize score performance.
Collections / Recovery Model
Measure the likelihood of recovering dollars from an existing account once it has been placed for collection.
Collections Prioritization Index
Combine your customer aging information with D&B’s predictive scores to achieve an actionable framework you can use to prioritize your internal collections based on risk and opportunity.
Credit Limit Analysis
Your customer aging information is enhanced with D&B’s demographic and risk scores, to develop a credit limit matrix that integrates expected credit need with predicted risk.
Credit Rules Analysis
Profile your customer portfolio by various risk and demographic segments to determine which variables are predictive in identifying the risk of delinquency. This analysis supports a client's development of judgmental scorecards for new or active accounts.
Criteria Analysis
Evaluates a complex set of risk targeting or credit decision rules currently used by the client to quantify the impact of each criteria on client’s performance (i.e. delinquency or write-off rate) of those businesses.
Cross-sell / Up-sell Model
Estimate the likelihood that an existing customer will purchase additional products or services.
Customer Analysis
Provides a demographic and risk profile of a client's customer base and highlights segments with the highest and lowest potential, based on revenue contribution.
Customer Retention Model
Estimate the likelihood that an existing customer will remain a customer over a specific time period.
Customer Segmentation
Create distinct groups of customers that behave in the same way or have similar needs but are different from the overall customer base.
Demand Estimation Model (Propensity to Buy)
Predict a company's potential usage of products or services - either in terms of volume used or the amount of revenue spent.
Lifetime Value / Profitability Model
Measure your firm’s likelihood to be profitable or level of profitability within a specific time period based on the client’s definition of profitability (which includes both revenue and cost components).
Look-Alike Model
Measure the similarity between a prospect and a client's best customers based on a combination of D&B demographic or risk characteristics.
Location Analytics
A segmentation analysis of all US-based businesses aggregated to the zip code level; Places 33,000 zip codes into 9 Clusters based on various levels of risk and opportunity.
Loss Analysis
Get a demographic and risk profile of your customer portfolio, highlighting the segments at highest risk for write-off, and evaluate predictive scores that can be used to improve portfolio performance.
Loss Reserve Model
Measure the likelihood of experiencing a bad debt loss from an existing customer in a specific time period and estimates the dollar value of the loss, if incurred. This model combines a client's account history with external data sources (D&B, SBFE/ SBRI or consumer) to maximize score performance.
Macroeconomic Simulator
Our Macroeconomic Simulator is a series of models that are highly valuable for stress testing portfolios under 9 different economic conditions (best to worst). Model outputs include indices at the state-industry level that can “adjust” the predicted probability of a risk model under particular macroeconomic situations.
Market Analysis
Leverage D&B's business universe to quantify the size of a prospective market, in terms of the number of businesses, aggregate sales volume, or employment. The client may define their market based on any combination of D&B demographic or risk variables.
Market Penetration Analysis
Assess market penetration by comparing the number of existing customers in your portfolio to the D&B business universe within specific geographic, industry or size segments.
Marketing Mix Models
Gain an understanding of the ROI associated with various types of channel marketing, their sequence and timing. For example, analyzing the results of a digital ad, followed by direct mail campaign and an outbound telemarketing campaign over a certain time horizon to gauge results of each independent activity or sequence of activities in order to optimize outreach strategies.
Marketing Response Model
Predict the likelihood that a prospect will respond to a direct marketing offer.
Origination / New Account Model
Measure the likelihood of a new account exhibiting negative payment behavior (i.e. delinquency or write-off) within a specific time period. This model combines external data sources (D&B, SBRI or consumer) and application data to maximize score performance.
Portfolio Benchmarking
Compare your customer base or performance against the D&B business universe to highlight strengths or weaknesses within the portfolio.
Prescreen Model
Estimate the likelihood that a prospect will be approved for credit terms by a client's credit/underwriting department.
Retro-score Analysis
Compare your customer payment performance against prior period risk scores to determine if a standard or custom score is predictive of delinquency or write-off.
Revenue Potential Model
Estimate the total amount of revenue that a prospect or customer will spend on the defined products or services.
Scorecard Validation
Compare your customer payment performance against prior period scores to determine if a client's judgmental scorecard is predictive of delinquency or write-off. D&B's predictive scores or other risk variables may also be evaluated.
Share of Wallet Analysis
Leverages standard or custom Demand Estimation Models to compare revenue potential at a customer level with a client's actual customer revenue and identify gaps. Customer-level comparisons can also be aggregated to market level based on a client's geographic, industry or size criteria.
Supply Chain Risk Analytics (Tier N)
Using Network Discovery logic to identify sub-tier suppliers associated with your critical suppliers, we conduct a comprehensive risk assessment throughout the supply chain in order to avoid unforeseen distributions cause from downstream risks.
Territory Planning Analysis
Leverages standard or custom demand estimation models to measure aggregate market demand at a geographic or industry level.
Text Analytics
Applying analytical techniques to sorts through unstructured data that contains text in order to draw meaningful conclusions about business sentiment and behaviors. Common sources include news feeds, blogs, social (twitter, yelp), and customer service complaints. Practical applications include redirecting levels of engagement to reduce churn, upsell, target new prospects - at both the macro and business level.
Custom Analytic Solutions for Marketing
Custom Analytics for Marketing
Predict Future Behavior. Understand and Grow Relationships using People and Contact insights to anticipate the future trajectory of a prospect or customer with custom analytic applications.
Test & Learn. Leverage data to understand total market potential compared to customer's current spend with you and create a continuous feedback loop from your marketing programs, using external data to feed and improve models and results.
Cross-sell / Up-sell Model
Estimate the likelihood that an existing customer will purchase additional products or services.
Customer Analysis
Get a demographic and risk profile of your customer base that highlights the segments with the highest and lowest potential, based on revenue contribution.
Customer Retention Model
Retain your best existing customers by estimating the likelihood that they will remain your customer over a specific time period.
Customer Segmentation
Create distinct groups of customers that behave in the same way or have similar needs but are different from the overall customer base so you can customize treatment plans.
Demand Estimation Model (Propensity to Buy)
Predict a company's potential usage of products or services - either in terms of volume used or the amount of revenue spent.
Lifetime Value / Profitability Model
Measure a customer’s likelihood to be profitable or level of profitability within a specific time period based on the client’s definition of profitability (which includes both revenue and cost components).
Look-Alike Model
Measure the similarity between a prospect and a client's best customers based on a combination of D&B demographic or risk characteristics.
Location Analytics
A segmentation analysis of all US-based businesses aggregated to the zip code level; Places 33,000 zip codes into 9 Clusters based on various levels of risk and opportunity.
Macroeconomic Simulator
Our Macroeconomic Simulator is a series of models that are highly valuable for stress testing portfolios under 9 different economic conditions (best to worst). Model outputs include indices at the state-industry level that can “adjust” the predicted probability of a risk model under particular macroeconomic situations.
Market Analysis
Leverage D&B's business universe to quantify the size of a prospective market, in terms of the number of businesses, aggregate sales volume, or employment. The client may define their market based on any combination of D&B demographic or risk variables.
Market Penetration Analysis
Measures a client's penetration by comparing the number of existing customers within a client's portfolio to the D&B business universe within specific geographic, industry or size segments.
Marketing Mix Models
Gain an understanding of the ROI associated with various types of channel marketing, their sequence and timing. For example, analyzing the results of a digital ad, followed by direct mail campaign and an outbound telemarketing campaign over a certain time horizon to gauge results of each independent activity or sequence of activities in order to optimize outreach strategies.
Marketing Response Model
Predict the likelihood that a prospect will respond to a direct marketing offer.
Prescreen Model
Estimate the likelihood that a prospect will be approved for credit terms by a client's credit/underwriting department.
Revenue Potential Model
Estimate the total amount of revenue that a prospect or customer will spend on the defined products or services.
Targeted Precision Analytics (TPA)
This Machine Learning platform provides advanced statistical support at a lower cost and within a shorter time frame than full-scale custom modeling projects. TPA helps with propensity and response scoring of prospect lists typically used for sales/marketing.
Territory Planning Analysis
Leverage standard or custom demand estimation models to measure aggregate market demand at a geographic or industry level.
Text Analytics
Apply analytical techniques to sorts through unstructured data that contains text in order to draw meaningful conclusions about business sentiment and behaviors. Common sources include news feeds, blogs, social (twitter, yelp), and customer service complaints. Practical applications include redirecting levels of engagement to reduce churn, upsell, target new prospects - at both the macro and business level.
Custom Analytics for Capital & Risk Management
Assess risk, set the right terms and manage relationships. Deploy globally consistent risk and segmentation strategies for advanced portfolio management and Retention, Loyalty, Growth and Annual Prioritization. Benchmark risk against your peer group and see your growth potential by adjusting for changing economic cycles.
Active Account / Behavioral Model
Measure the likelihood of an existing account exhibiting negative payment behavior (i.e. delinquency or write-off) within a specific time period. This model combines a client's account history with external data sources to maximize score performance.
Collections / Recovery Model
Measure the likelihood of recovering dollars from an existing account once it has been placed for collection.
Collections Prioritization Index
Combine your customer aging information with D&B's predictive scores to provide an actionable framework to prioritize internal collections based on risk and opportunity.
Credit Limit Analysis
Your customer aging information is enhanced with D&B demographic and risk scores, to develop a credit limit matrix that integrates expected credit need with predicted risk.
Credit Rules Analysis
Profile a client's customer portfolio by various risk and demographic segments to determine which variables are predictive in identifying the risk of delinquency. This analysis supports a client's development of judgmental scorecards for new or active accounts.
Criteria Analysis
Evaluate a complex set of risk targeting or credit decision rules currently used by the client to quantify the impact of each criteria on client’s performance (i.e. delinquency or write-off rate) of those businesses.
Lifetime Value / Profitability Model
Measure a customer’s likelihood to be profitable or level of profitability within a specific time period based on the client’s definition of profitability (which includes both revenue and cost components).
Look-Alike Model
Measure the similarity between a prospect and a client's best customers based on a combination of D&B demographic or risk characteristics.
Location Analytics
A segmentation analysis of all US-based businesses aggregated to the zip code level; Places 33,000 zip codes into 9 Clusters based on various levels of risk and opportunity.
Loss Analysis
Get a demographic and risk profile of your customer portfolio, highlighting the segments at highest risk for write-off, and evaluate predictive scores that can be used to improve portfolio performance.
Loss Reserve Model
Measure the likelihood of experiencing a bad debt loss from an existing customer in a specific time period and estimates the dollar value of the loss, if incurred. This model combines a client's account history with external data sources (D&B, SBRI or consumer) to maximize score performance.
Macroeconomic Simulator
Our Macroeconomic Simulator is a series of models that are highly valuable for stress testing portfolios under 9 different economic conditions (best to worst). Model outputs include indices at the state-industry level that can “adjust” the predicted probability of a risk model under particular macroeconomic situations.
Origination / New Account Model
Measure the likelihood of a new account exhibiting negative payment behavior (i.e. delinquency or write-off) within a specific time period. This model combines external data sources (D&B, SBFE/SBRI or consumer) and application data to maximize score performance.
Portfolio Benchmarking
Compare your customer base or performance against the D&B business universe to highlight strengths or weaknesses within the portfolio.
Retro-score Analysis
Compare your customer payment performance against prior period risk scores to determine if a standard or custom score is predictive of delinquency or write-off.
Revenue Potential Model
Estimate the total amount of revenue that a prospect or customer will spend on the defined products or services.
Scorecard Validation
Compare your customer payment performance against prior period scores to determine if a client's judgmental scorecard is predictive of delinquency or write-off. D&B's predictive scores or other risk variables may also be evaluated.
Share of Wallet Analysis
Leverage standard or custom Demand Estimation Models to compare revenue potential at a customer level with a client's actual customer revenue and identify gaps. Customer-level comparisons can also be aggregated to market level based on a client's geographic, industry or size criteria.
Territory Planning Analysis
Leverage standard or custom demand estimation models to measure aggregate market demand at a geographic or industry level.
Text Analytics
Apply analytical techniques to sorts through unstructured data that contains text in order to draw meaningful conclusions about business sentiment and behaviors. Common sources include news feeds, blogs, social (twitter, yelp), and customer service complaints. Practical applications include redirecting levels of engagement to reduce churn, upsell, target new prospects - at both the macro and business level.
Custom Analytics for Supply Chain Management
Anticipate and respond to potential risks within the global supply chain. Manage risk across your supply chain with a multi-dimensional view of your Tier 1 suppliers and their extended network. Conduct analysis to reduce spend and risk, diversify your supply base, and comply with regulatory requirements.
Macroeconomic Simulator
Our Macroeconomic Simulator is a series of models that are highly valuable for stress testing portfolios under 9 different economic conditions (best to worst). Model outputs include indices at the state-industry level that can “adjust” the predicted probability of a risk model under particular macroeconomic situations.
Location Analytics
A segmentation analysis of all US-based businesses aggregated to the zip code level; Places 33,000 zip codes into 9 Clusters based on various levels of risk and opportunity.
Supply Chain Risk Analytics (Tier N)
Using Network Discovery logic to identify sub-tier suppliers associated with your critical suppliers, we conduct a comprehensive risk assessment throughout the supply chain in order to avoid unforeseen distributions cause from downstream risks.
Territory Planning Analysis
Leverage standard or custom demand estimation models to measure aggregate market demand at a geographic or industry level.
Text Analytics
Apply analytical techniques to sorts through unstructured data that contains text in order to draw meaningful conclusions about business sentiment and behaviors. Common sources include news feeds, blogs, social (twitter, yelp), and customer service complaints. Practical applications include redirecting levels of engagement to reduce churn, upsell, target new prospects - at both the macro and business level.