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Data is generated by every credit union transaction that occurs, and adequate analyzation of that data can lead to numerous positive outcomes for credit unions, including the ability to gain new insights into member behavior and enhance the member experience, increases in product usage and income, and the chance to identify new lending opportunities. While credit union leaders recognize the importance of a strong data analytics strategy, many have a ways to go when it comes to developing and implementing one, and those that delay their work in this area by too long could suffer dire consequences.
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Natasha Chilingerian
Natasha Chilingerian has been immersed in the credit union industry for over a decade. She first joined CU Times in 2011 as a freelance writer, and following a two-year hiatus from 2013-2015, during which time she served as a communications specialist for Xceed Financial Credit Union (now Kinecta Federal Credit Union), she re-joined the CU Times team full-time as managing editor. She was promoted to executive editor in 2019. In the earlier days of her career, Chilingerian focused on news and lifestyle journalism, serving as a writer and editor for numerous regional publications in Oregon, Louisiana, South Carolina and the San Francisco Bay Area. In addition, she holds experience in marketing copywriting for companies in the finance and technology space. At CU Times, she covers People and Community news, cybersecurity, fintech partnerships, marketing, workplace culture, leadership, DEI, branch strategies, digital banking and more. She currently works remotely and splits her time between Southern California and Portland, Ore.
