MARKETING AND CUSTOMER ENGAGEMENT
Today´s companies are looking for customer engagement marketing – an integrated process that combines the traditional elements of direct marketing and customer contact centers, including data analytics, campaign management e-commerce and fulfillment, to deliver relevant, personalized and timely customer interactions across all channels. Today, companies perform complex calculations on a single customer to come up with the next best product for him/her based on profitability for the bank and on the use of this product for the customer.
Moving beyond segmentation to true one-to-one personalization in a real-time context. To understand what your buyers want, first look at their behaviors, not just their demographics. How are they interacting with your brand? What topics or products are they engaging with? You can even take this primary behavioral data to the next level by tying third party data into it, creating a more in-depth persona of each buyer group.
How risky is the customer if he takes up the proposed product?
What is the propensity of the customer to take up this product?
How profitable is the customer expected to be if he takes up the new proposed product?
What is the utility of the value propositions of the new product to the customer?
By managing the customer experience to understand the issues that drive different buyer behavior, you can deliver specific messages, images and call-to-actions that yield the highest returns. The GDS Modellica Marketing Solution simplifies and accelerates the process of using complex, diverse data sources and operational insights to execute powerful, one-on-one marketing campaigns. You put the power of data-driven decisioning in the hands of your company.
Analytics is a hot field today, and more companies than ever are applying the power of analytics across their business. As data-driven strategies take hold, they will become an increasingly important point of competitive differentiation.
Often companies already have the data they need to tackle business problems, but managers simply don’t know how the information can be used for key decisions.
As a company focus in analytics, GDS Modellica has developed new techniques and applied them to a wide range of business problems. We know how far analytics can advance your organization with algorithms that can help you solve your daily business problems making the best decisions possible.
The loan origination process has become a key fierce competition. The right strategies and analytics can keep your company move in an profitable direction, while navigating an changing business environment. Today’s everyone is empowered to research and purchase financial products and services in a way that they never have been before.
GDS Modellica empowers its customers reinvent the origination process by bringing a set of market-leading technology and analytic capabilities together into a single and powerful framework.
Powerful decisioning and process management conquer the challenge with an mix of data, analytics, decisions and execution needed to increase grow customer lifetime value.
The GDS Modellica´s Originations Engine (MOE) overcomes these obstacles with a flexible platform solution that allows your company to create, manage, and improve strategies faster, more convenient, and personalized maintaining compliance in a rapidly evolving regulatory environment.
With a comprehensive customer profile you can accurately identify your most valuable customers or those with high potential to become more valuable. You can also create powerful segmentation campaigns without losing sight of the principles of a cautious risk management.
Apply the power of analytics and decisioning in all your operational decisions in an informed way derived by decisional models.
The GDS Modellica Behavioral Engine (MBE) evaluates a borrower credit relationship based on past behavior and predictive information from that SME or individual’s interactions across the enterprise, rather than relying on single-relationship data alone to drive decisions.
Periodically the system identifies the total credit line to be extended to an account or borrower, and allows apportionment of limits and lines to each product relationship.
By executing credit line management strategies, the bank can improve profits by expanding the buying power of your best customers, while limiting exposure from those that are riskier.
On demand the bank can perform real-time line increases, improve revenue and customer satisfaction by minimizing the number of point-of-sale transactions referred for manual intervention.
Regulations, compliance and overall risk management place a significant operational burden on financial services. Account origination fraud—that is, opening a credit or bank account with fraudulent or falsified information—is an increasing problem these days. Banks lose billions each year to thieves who use stolen personal information to create new accounts and commit an act of deception.
Despite the myriad of safeguards in place, banks are more exposed to fraud than ever before, due in part to the growing number of channels customers use to access financial institutions, such as e-banking and mobile apps. In the fight against fraud, financial institutions need to have better tools and enterprise-wide integration to succeed against scammers.
When customers today visit online business, it is difficult to identify and verify customers cross-channel and cross-device.
By integrating different silos of identity ecosystems and resolving multiple online and offline identifiers to individuals, Modellica Fraud Engine is a solution built on current best practices, that can provide a single view of the identity for customer acquisition, fraud, compliance and risk to enable organizations to build trust and safety in their digital transformation journey.
There is increasing pressure on organizations to reclaim unpaid debt to address increasing default rates in tightening markets and at the same time every contact with a customer is an opportunity to strengthen the relationship. Modellica Collection Suite unlocks the power of data and analytics to help companies to increase revenue by automating and streamlining the collection process.
Companies are empowered with accurate segmentation of delinquent accounts and visibility into customer data to strategically guide interactions with the objective of increasing recoveries, target collections actions, automate decisions and increase customer retention delivering higher quality interactions.
GDS Modellica Collections Suite is a highly configurable solution and meets a wide variety of collections requirements: at every stage of the credit lifecycle, appropriate treatments are applied to restore payment and maintain compliance. Powerful segmentation, communication and decision strategies, using predictive analytics, models and scores are used to prioritize recovery efforts.
MULTIBUREAU AND DATA MANAGEMENT
Leveraging the power of GDS Modellica’s DataView360* end users can be trained to easily create new attributes based on the predefined and preprogramed set delivered under the standard Use License. Our retrospective analysis and simulation tools allow end users to perform ‘what if’ against archived data. The GDS attributes covers Inquiries, Tradelines, Public Records and Collection Items.
GDS Modellica’s Credit Bureau Attribute Set provides financial institutions with a set of 1,000+ normalized credit bureau attributes aligned with the most popular consumer credit bureaus. Unlike similar offerings in the market, companies that license the GDS Modellica attributes are provided with a complete set of documentation that provides the logic related to the calculation of each attribute at each credit bureau.
Some applications for the use of these attributes include custom model development, decision trees, policy rules, segmentations and champion/challenger strategies.
Leveraging the proven experience of the GDS Modellica working with most of the world credit attributes that reduces the learning curve often required to understand the data nuances across the three credit repositories.
IFRS9 IMPAIRMENT MANAGEMENT
New International Accounting Standards Board IFRS9 rules on asset impairment take effect in 2018. Also, new U.S. Financial Accounting Standards Board (FASB) rules for recognizing and measuring current expected credit loss (CECL) take effect in 2020. While nominally called “accounting changes” for asset impairment, these new rules will have a much more extensive business impact.