{"id":3716,"date":"2020-12-24T16:15:56","date_gmt":"2020-12-24T16:15:56","guid":{"rendered":"https:\/\/www.lakeb2b.com\/blog\/?p=3716"},"modified":"2020-12-24T16:15:56","modified_gmt":"2020-12-24T16:15:56","slug":"customer-data-intelligence-for-bfsi-industry","status":"publish","type":"post","link":"https:\/\/www.lakeb2b.com\/blog\/customer-data-intelligence-for-bfsi-industry\/","title":{"rendered":"Customer Data Intelligence for BFSI Industry"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Customer data is the lifeblood of the Banking, Financial Services, and Insurance (BFSI) industry. Decision-makers can make the right business decisions, only if they have access to the right data at the right time.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Any enterprise, irrespective of size, collects and stores customer and <a href=\"https:\/\/www.lakeb2b.com\/blog\/build-high-quality-prospect-data\/\">prospect data<\/a>. The problem with storing large amounts of customer data over extended periods is that it becomes obsolete or decays quickly. Stale customer data can compromise the efficiency of banks, financial institutions, and insurance companies.\u00a0<\/span><\/p>\n<h2><b>Data Intelligence in BFSI<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Data on its own is relatively useless. Customer data has meaning only when it is used to identify patterns and predict how a customer will behave in the future. In the BFSI sector, data is collected in large volumes through multiple channels like call logs, emails, websites, social media, and real-time market feeds. But to lend meaningful insight and support to processes, this data needs to be analyzed and reported using customer data intelligence. More and more BFSI players are starting to realize the significance of <a href=\"https:\/\/www.lakeb2b.com\/blog\/keeping-your-customer-database-up-to-date\/\">customer data<\/a> intelligence to improve their overall service delivery and performance.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3717 size-full\" title=\"Data Intelligence in BFSI\" src=\"https:\/\/www.lakeb2b.com\/blog\/wp-content\/uploads\/2020\/12\/Data-Intelligence-in-BFSI.jpg\" alt=\"Data Intelligence in BFSI\" width=\"750\" height=\"375\" srcset=\"https:\/\/www.lakeb2b.com\/blog\/wp-content\/uploads\/2020\/12\/Data-Intelligence-in-BFSI.jpg 750w, https:\/\/www.lakeb2b.com\/blog\/wp-content\/uploads\/2020\/12\/Data-Intelligence-in-BFSI-300x150.jpg 300w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Customer data intelligence includes collecting, organizing, and analyzing large and varied sets of data to uncover useful insights. It helps reveal unknown correlations and market trends and dissect customer preferences for the institutions to make informed business decisions. The <a href=\"https:\/\/www.lakeb2b.com\/data\">data<\/a> is gathered through various sources, including social networks, sales records, videos, digital images, sensors, and others.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Before we discuss the applications of customer data intelligence in the BFSI industry, let us first learn about the different types of intelligence that banks and insurance companies collect about borrowers:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>Human Intelligence<\/b><span style=\"font-weight: 400;\"> &#8211; Human sources are used to derive this intelligence. These sources may include an employee in the borrowing company or the borrower\u2019s competitor. A sector analyst or another banker who has worked with the borrower in the past can also be a source.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>Technology Intelligence<\/b><span style=\"font-weight: 400;\"> &#8211; Technology Intelligence goes beyond a simple Google search. Some companies offer an\u00a0<\/span><i><span style=\"font-weight: 400;\">intelligence as a service<\/span><\/i><span style=\"font-weight: 400;\">. They collect information on the borrowers and identify the borrower as a high-risk individual based on various risk parameters.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>Raw Intelligence<\/b><span style=\"font-weight: 400;\"> &#8211; When the information collected about the borrower is not supported by evidence and needs to be corroborated with the financial or other information available with the bank, it is known as raw intelligence.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>Actionable Intelligence<\/b><span style=\"font-weight: 400;\"> &#8211; This is information that can be followed-up on. It is complete and accurate and is supported by substantial evidence. Strategic plans can be devised based on this information. Companies that provide customer data intelligence as a service, work with regulatory bodies and credit bureaus and can offer useful insights about the borrowers.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\"><br \/>\nCustomer data intelligence is the key to enhanced customer lifecycle management. It paves the way for new sourcing mechanisms, better customer monitoring, and a smooth collection process. Customer data intelligence can be used to understand consumer behavior, for segmentation, and to develop the right product, service, or offer for the right customer. Following stringent fraud management methods and collection models can get in the way of maintaining a pleasant customer experience. With customer data intelligence, banks, financial institutions, and insurance companies can strike the perfect balance between the two.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Some of the most common applications of customer data intelligence in the BFSI Industry are explained in detail below.\u00a0<\/span><\/p>\n<h2><b>Target Marketing<\/b><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3718 size-full\" title=\"Target Marketing\" src=\"https:\/\/www.lakeb2b.com\/blog\/wp-content\/uploads\/2020\/12\/Target-Marketing.jpg\" alt=\"Target Marketing\" width=\"750\" height=\"375\" srcset=\"https:\/\/www.lakeb2b.com\/blog\/wp-content\/uploads\/2020\/12\/Target-Marketing.jpg 750w, https:\/\/www.lakeb2b.com\/blog\/wp-content\/uploads\/2020\/12\/Target-Marketing-300x150.jpg 300w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Understanding customers\u2019 buying patterns can help banks and financial institutions determine which products to advertise and sell. Customer data intelligence provides them with this critical insight. It analyzes every customer profile so that banks and financial institutions can run targeted messaging campaigns and generate a higher response rate. When brands know what customers want next and if they can succeed in meeting these expectations, they can achieve effective cross-selling of products and services. This leads to increased profitability and prolonged customer relationships. With customer data intelligence, they know what to sell to an existing customer, and when to sell it.<\/span><\/p>\n<h2><b>Retaining Customers<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">While acquiring new customers is always the goal, retaining existing customers is equally important. Customer data intelligence identifies customer churn patterns and generates comprehensive reports. These reports can help banks, financial institutions, and insurance companies identify and fill in gaps. For instance, using customer data intelligence, they can identify which customers are looking to switch banks and what the reason is. They can then personalize and restructure their customer retention strategy, based on the customer\u2019s spending and behavior patterns. If corrective measures are taken timely and effectively, attrition can be prevented.<\/span><\/p>\n<h2><b>Increasing Customer Loyalty and Engagement<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Using customer data intelligence, BFSI players can analyze the customer\u2019s transaction history and profile to identify buying patterns and offer personalized and differentiated products, services, and customer experiences. Customer engagement can be increased by delivering targeted and contextually appropriate offers through channels that the customer prefers.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3719 size-full\" title=\"Increasing Customer Loyalty\" src=\"https:\/\/www.lakeb2b.com\/blog\/wp-content\/uploads\/2020\/12\/Increasing-Customer-Loyalty.jpg\" alt=\"Increasing Customer Loyalty\" width=\"750\" height=\"375\" srcset=\"https:\/\/www.lakeb2b.com\/blog\/wp-content\/uploads\/2020\/12\/Increasing-Customer-Loyalty.jpg 750w, https:\/\/www.lakeb2b.com\/blog\/wp-content\/uploads\/2020\/12\/Increasing-Customer-Loyalty-300x150.jpg 300w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Customers are now using digital platforms to interact with banks and financial institutions. By using customer data intelligence to dissect the data collected from digital platforms such as social media, BFSI institutions can gauge a better understanding of customer pain points, preferences, and needs. They can then use these insights to enhance the quality of their products and services. Customer data intelligence is crucial not only to improve the customer experience but also to stay ahead of the ever-increasing competition.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With the financial environment changing more drastically than ever, the BFSI Industry is continuously evolving. Banks, financial institutions, and insurance companies are doubling down on the use of technologies like customer data intelligence, artificial intelligence, and machine learning to power their core operations. It is no longer a novelty but a necessity, as banks and financial institutions need to be more agile and flexible to be able to meet the rising expectations of a growing base of customers who are digitally empowered and technology savvy.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Customer data is the lifeblood of the Banking, Financial Services, and Insurance (BFSI) industry. Decision-makers can make the right business decisions, only if they have access to the right data at the right time. Any enterprise, irrespective of size, collects and stores customer and prospect data. The problem with storing large amounts of customer data [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":3721,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-3716","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-management"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Customer Data Intelligence for BFSI Industry - Blog<\/title>\n<meta name=\"description\" content=\"With the financial environment changing rapidly, the BFSI industry is taking advantage of technologies like customer data intelligence. 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With over 15 years of experience in B2B marketing, Bryan Scott is a seasoned leader specializing in digital strategy, demand generation, and content-led growth. As the Chief Sales Officer at Lake B2B, Bryan has successfully led multiple award-winning campaigns across technologyand healthcare sectors, driving business growth and delivering impactful results. Bryan\u2019s expertise lies in driving business growth with data-driven marketing solutions, empowering brands\u2014from startups to SMBs and enterprise-level organizations\u2014to leverage AI and intent-based data for higher ROI. He is passionate about bridging the gap between data and storytelling, using actionable insights to create compelling narratives that resonate with audiences and optimize marketing performance. 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