Q2 Data Connector

CFS Insight’s Q2 Data connector is essential to managing the growth, performance and security of your digital banking solution. This solution integrates criticate usage data between your financial institution’s core digital banking platforms to provide you with executive level metrics that help you assess customer usage and adoption of your digital banking offering. CFS Insight’s dashboards provide an exellent starting point to managing you digital banking program but also provide the ability to customize your key performance indicators as you mature and expand your digital offerings to member.

Common Use Cases

The Q2 Data Connector enables your credit union to:

  • Streamline, manage and improve upon the key performance indicators of a successful digital banking operation.
  • Improve risk management efforts of monitoring safe usage of digital services.
  • Monitor and shut down inactive accounts to improve security, manage cost and establish accurate baseline usage metrics.
  • Analyze the effectiveness of new products on your digital banking platform.

Common Questions

You need to contract with Q2 to receive the Q2 Eve extracts and optionally Q2’s security data extracts.

The solutions runs daily in concert with the daily production of Q2 Eve and Q2 Security extracts.

Technical Details

Following summarizes the technical details of CFS Insight’s Q2 Data Connector:

  • Data is sourced from the Q2 Eve (Every Valuable Element) extract process and optionally Q2’s security data extracts.
  • Example Dashboards available in Power BI and TIBCO Spotfire.
  • The Data Connector can be deployed on a Microsoft SQL Server 2014 or higher database.
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- CFS Data & Analytic Products

The CFS Insight way to unlocking your credit union data

Data connectors and CFS analytical models are just tools. To succeed, your data initiative needs the right process to handle the preparation, detailed integration, and well planned training and support. The CFS process will help guide your project to successful implementation and adoption.

CFS Insight Process

Step 1

Discovery Call & Demo

Start with a quick discovery call followed by a customized demo. CFS will seek to answer specific questions and show how the CFS process will apply to your data needs.

Step 2

Review Agreement

Work with the CFS Insight team to define goals and project requirements. Develop a scope of work and review with any other key stakeholders and make adjustments.

Step 3

Onboard & Prerequisites

As your team works on required prerequisites defined in the agreement, CFS will onboard to your technology environment and begin preparing for implementation.

Step 4

Implement, Train, Support

CFS will Implement the data connectors and analytic models, provide your team with training, help push your new solution to production, and provide you with dedicated ongoing support and consultation

Predictive analytics in banking for credit unions - CFS Insight

- How CFS Insight can guide you

Ready to make better data driven decisions?

CFS Inight’s process will guide you and your team into a better understanding of your data. Once your systems are connected, CFS will help you create productive ways to access, analyize, and model your data. So the question is — how can we help?

Education

You want to learn more about how you can get more out of your data?

Take Action

You know what you want and you’re ready to chat? 

Case Studies

CFS helps you serve

Your Credit Union Community.

- About CFS Insight

Why CFS Cares About Credit Unions

Credit unions want to serve their communities well. Their community may be a region, organization, or identity. But, not matter what their community looks like, credit unions want to see the their people thrive.

That’s why for more than a decade CFS Inisght has helped credit unions like your’s not only survive, but thrive!