A business intelligence application that automatically mines through your data looking for sales and service opportunities for your staff to pursue. Each case is tracked through to completion and the case history can be analyzed in business intelligence.
This application is designed to streamline your collections process – create and manage cases through to completion and analyze your case history through business intelligence.
A business intelligence application designed to improve FI efficiency by automating identification, and streamlining processing, of any key business activities (such as credit reviews) within the FI. The application reviews your data nightly and automatically generates tasks based on FI-defined rules. Tasks are then queued for your staff to action, and are tracked through to completion. Task history is retained so it’s available for analysis and reporting in business intelligence.
A business intelligence application designed to automate the Pay/Return decision on overdrawn deposit accounts based on FI-defined criteria. Staff can access key details such as current account balance from directly within the Overdraft Management application to support review of any decisions that appear to warrant further evaluation before Pay/Return transaction and fee decisions are determined.
A business intelligence application designed to minimize fraud-related losses by providing a central repository for all members and accounts with confirmed or suspected fraudulent activity. This allows FIs to report on fraud cases to identify trends, and to increase service levels by automate processes such as providing credits.
Data integration from loans applications allows the client to analyze loan application data, loan and mortgage account data and member information that is not pushed to core banking. Supported loan integration applications include: Prolender, Technicost, Truhome, MeridianLink, Encompass.
App that allows the client to generate pre-populated forms for scenarios such as account opening, card agreements at the time those activities are occurring with the member. Vital to a financial institution’s paperless strategy.
Business Intelligence app that allows the client to monitor its account-managed member portfolio performance and allow individual account managers to monitor their own portfolio.
Business Intelligence app that allows the client to establish business rules that, if not followed, generate automated exceptions that are automatically assigned to staff for repair.
Data integration of general ledger data allows the client to more easily balance core banking balances to GL balances as well as report on desired GL accounts through static reports or dashboards. Supported GL integration applications include: FAS, Mas500, Prologue.
Data integration of Credential Asset Management, Credential Securities or QTrade information. Allows the client to analyze member investment data.
Data integration of CUMIS insurance information. Allows the client to analyze member insurance policy data.
Data integration of CUETS and CCM credit card information. Allows the client to analyze credit card data for client members who are cardholders.
Data integration of switch ATM and POS information for acquirer and issuer transaction data. Allows the client to analyze switch information such as ATM usage, member vs. non-member transaction volumes, and so on.
Allows the client to be able to calculate accrued service charges for accounts closed mid-month.
Allows the client the ability to review the accuracy of its deposit service charges posted each month.
Allows the client the ability to report Chequing lines of credit (SAOD) in Metro2 format to the credit bureau.
The Email Money Transfer service is offered by Central1 allows persons to send or receive funds using email notifications. To assist with settlement balancing of these transactions Lodestar has created the e-Transfer Match and Kill app which takes the transaction file provided by Central1 to the client and is uploaded to the Lodestar server on daily basis and captures the exception data. The data is then organized and presented as a BI Publisher report.