Credit Unions are facing severe competition from big financial institutions, along with higher expectations from members for easier, quicker and more personalized interactions. This is especially true in the case of millennials, who are now the target segment for many CUs. To re-engineer traditional practices, many financial institutions are moving towards digital transformation, which includes online-only banks, peer-to-peer marketplaces and robo-advisors.

Top-3 Tech-Priorities for

Credit Unions:

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Investing in Digital Channels

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Augmenting Analytics Capabilities

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Gaining Insights from Variety of Granular Data

R Systems helps CUs solve complex problems by leveraging data, analytics and other digital platforms for common use cases like:

Analysis
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    Member Behavioral Analysis

    Attract & grow your member base, especially the millennial groups

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    Attrition Analysis

    Reduce attrition & promote net member growth
    (NPS Score)

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    Self-service Channels

    Focus on what matters the most by freeing-up resources in the bank-branches who are managing low-yield tasks, & directing their focus towards improving your member satisfaction levels

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    Digital Strategy

    Leverage email, mobile, online & social media to reach a large member base, as well as, know your members better

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    Product Recommendation

    Achieve greater return on new promotions & account plans

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    Omni-channel Experience

    Deliver a seamless member experience across all touch points, by integrating various channels

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    Propensity Modelling

    Identify cross-selling avenues across product lines

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    Member Segmentation

    (Re)Segment current member base, to truly understand your members

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    Member Retention

    Assess your profitable members & develop proactive retention strategies

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    Text Analytics and NLP/ Voice of Member

    Deepen relationship with your existing members

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    Leveraging Transactional Data

    Build effective campaigns focused on increasing member spending, such as balance transfer campaigns, etc.

Data Management
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    Enterprise Data Strategy

    Ensure your data resources can be used, shared & mobilized easily

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    Data Lakes/ Warehouse

    Allow decisions to be made with the most accurate data possible

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    Data Management Platform

    Create a centralized platform that aggregates first and third-party audience data

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    Big Data Architecture

    Build your data assets for effective utilization & generating greater business value

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    Big Data Engineering

    Derive actionable intelligence from your member data, to enable your institution to improve your business outcomes

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