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A tartalmat a CUInsight | Credit Union biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a CUInsight | Credit Union vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Data Warehouse & Workflows - Lodestar Technologies (#51)

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Manage episode 356316732 series 2904913
A tartalmat a CUInsight | Credit Union biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a CUInsight | Credit Union vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

“Credit unions have all of the data needed to translate it into value.” - Andrea Brown

Thank you for tuning in to episode 51 of The CUInsight Network, with your host, Lauren Culp, Publisher & CEO of CUInsight.com. In The CUInsight Network, we take a deeper dive with the thought leaders who support the credit union community. We discuss issues and challenges facing credit unions and identify best practices to learn and grow together.

My guest on today’s show is Andrea Brown, VP of Client Engagement at Lodestar Technologies. Andrea begins by sharing her education and career journey that molded her two passions together; data and credit unions. Lodestar Technologies is an analytics partner for financial institutions, providing a full-service analytics platform of data connectors, visuals, workflows, and strategic guidance to move forward in the analytics journey. Their team of experts come directly from the financial services industry and truly understand credit unions, their values, and mission. As partners, they empower and help clients spend less time on data collection so they have more time to dive in and understand and utilize their data.

During our conversation, Andrea shares how credit unions can build a data strategy and put action behind it. She believes credit unions have a lot of choices and control over the systems they use which is beneficial in customizing it to their specific member needs. Andrea points out places where member data lives throughout the organization and which data strategies to prioritize. She explains where data plays a role in impactful marketing, through targeted communication and campaign management. We discuss how credit unions can translate data into value to create exceptional member experiences. As we look to the future, Andrea talks about machine learning, artificial intelligence, and advanced analytics as it pertains to credit unions and their data-marketing strategies.

As we wrap up the episode, Andrea talks about why she has so many household organizers, her favorite podcasts, and which video game she plays with her sons. Enjoy my conversation with Andrea Brown!

Find the full show notes on cuinsight.com.

Connect with Andrea:
Andrea Brown, VP of Client Engagement at Lodestar Technologies
andrea.brown@lodestartech.ca
https://lodestartech.ca
Andrea:
LinkedIn
Lodestar Technologies:
LinkedIn

  continue reading

90 epizódok

Artwork
iconMegosztás
 
Manage episode 356316732 series 2904913
A tartalmat a CUInsight | Credit Union biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a CUInsight | Credit Union vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

“Credit unions have all of the data needed to translate it into value.” - Andrea Brown

Thank you for tuning in to episode 51 of The CUInsight Network, with your host, Lauren Culp, Publisher & CEO of CUInsight.com. In The CUInsight Network, we take a deeper dive with the thought leaders who support the credit union community. We discuss issues and challenges facing credit unions and identify best practices to learn and grow together.

My guest on today’s show is Andrea Brown, VP of Client Engagement at Lodestar Technologies. Andrea begins by sharing her education and career journey that molded her two passions together; data and credit unions. Lodestar Technologies is an analytics partner for financial institutions, providing a full-service analytics platform of data connectors, visuals, workflows, and strategic guidance to move forward in the analytics journey. Their team of experts come directly from the financial services industry and truly understand credit unions, their values, and mission. As partners, they empower and help clients spend less time on data collection so they have more time to dive in and understand and utilize their data.

During our conversation, Andrea shares how credit unions can build a data strategy and put action behind it. She believes credit unions have a lot of choices and control over the systems they use which is beneficial in customizing it to their specific member needs. Andrea points out places where member data lives throughout the organization and which data strategies to prioritize. She explains where data plays a role in impactful marketing, through targeted communication and campaign management. We discuss how credit unions can translate data into value to create exceptional member experiences. As we look to the future, Andrea talks about machine learning, artificial intelligence, and advanced analytics as it pertains to credit unions and their data-marketing strategies.

As we wrap up the episode, Andrea talks about why she has so many household organizers, her favorite podcasts, and which video game she plays with her sons. Enjoy my conversation with Andrea Brown!

Find the full show notes on cuinsight.com.

Connect with Andrea:
Andrea Brown, VP of Client Engagement at Lodestar Technologies
andrea.brown@lodestartech.ca
https://lodestartech.ca
Andrea:
LinkedIn
Lodestar Technologies:
LinkedIn

  continue reading

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