{"id":7177,"date":"2023-10-14T09:00:00","date_gmt":"2023-10-14T17:00:00","guid":{"rendered":"https:\/\/www.indataipm.com\/?p=7177"},"modified":"2025-03-24T14:26:11","modified_gmt":"2025-03-24T22:26:11","slug":"future-proofing-the-front-office-analytics-powered-by-apis","status":"publish","type":"post","link":"https:\/\/www.indataipm.com\/future-proofing-the-front-office-analytics-powered-by-apis\/","title":{"rendered":"Future Proofing the Front Office: Data Analytics"},"content":{"rendered":"<div class=\"wpb-content-wrapper\">[vc_row][vc_column]\t\t\t<div class=\"grve-element grve-social grve-social-large grve-align-left\" style=\"\">\r\n\t\t\t\t<ul>\r\n\t\t\t\t\t\t\t\t\t\t<li><a href=\"mailto:?subject=Future Proofing the Front Office: Data Analytics&amp;body=Future Proofing the Front Office: Data Analytics: https:\/\/www.indataipm.com\/future-proofing-the-front-office-analytics-powered-by-apis\/\" title=\"Future Proofing the Front Office: Data Analytics\" class=\"grve-social-share-email grve-icon-envelope\"><\/a><\/li>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href=\"https:\/\/www.indataipm.com\/future-proofing-the-front-office-analytics-powered-by-apis\/\" title=\"Future Proofing the Front Office: Data Analytics\" class=\"grve-social-share-facebook grve-icon-facebook\"><\/a><\/li>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href=\"https:\/\/www.indataipm.com\/future-proofing-the-front-office-analytics-powered-by-apis\/\" title=\"Future Proofing the Front Office: Data Analytics\" class=\"grve-social-share-twitter grve-icon-twitter\"><\/a><\/li>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a href=\"https:\/\/www.indataipm.com\/future-proofing-the-front-office-analytics-powered-by-apis\/\" title=\"Future Proofing the Front Office: Data Analytics\" class=\"grve-social-share-linkedin grve-icon-linkedin\"><\/a><\/li>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t<\/ul>\r\n\t\t\t<\/div>\r\n\t\t[vc_column_text]\n<h2><span data-sheets-root=\"1\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Data Analytics Powered by APIs \u2013 Solving the Data Challenge&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:513,&quot;3&quot;:{&quot;1&quot;:0},&quot;12&quot;:0}\">Data Analytics Powered by APIs \u2013 Solving the Data Challenge<\/span><\/h2>\n<p><em>Part 2 of a 3-part series on Future-Proofing the Front Office. Want to download the full Whitepaper directly? <a href=\"https:\/\/info.indataipm.com\/download-future-proofing-front-office-whitepaper\" target=\"_blank\" rel=\"noopener\">Get it here!<\/a><\/em><\/p>\n<p><span style=\"font-weight: 400;\">Initiatives for future-proofing the front office all depend on integrating innovative technology. In the second part of this series, the learning relates to <\/span><span style=\"font-weight: 400;\">artificial intelligence (AI) data analytics<\/span><span style=\"font-weight: 400;\">. In order for data to provide valuable insights, you must have an analysis engine supplemented with AI. <\/span><span style=\"font-weight: 400;\">Buy-side<\/span><span style=\"font-weight: 400;\"> OMS (order management system) and <\/span><span style=\"font-weight: 400;\">portfolio management<\/span><span style=\"font-weight: 400;\"> software deliver meaningful gains in terms of automation, associated time savings, and greater transparency. These gains are valuable, however, the most critical aspect of these systems is the potential to make better decisions with the underlying data that resides in these systems.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Leveraging <\/span><span style=\"font-weight: 400;\">data analytics and artificial intelligence<\/span><span style=\"font-weight: 400;\"> requires a robust tech infrastructure. Legacy architecture isn\u2019t sustainable for these pursuits and can inhibit operating models. The future of <\/span><span style=\"font-weight: 400;\">artificial intelligence data analytics<\/span><span style=\"font-weight: 400;\"> demands that you rethink your tech stack as well as systems used for trading and portfolio management.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this article, we\u2019ll review the history of <\/span><span style=\"font-weight: 400;\">investment management data analytics<\/span><span style=\"font-weight: 400;\">, its importance in the industry, technologies advancing it, and what to consider when evaluating underlying systems.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Background: Investment Management Data Analytics<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The world has been discussing how to handle growing amounts of information for nearly 80 years. As far back as 1944, Fremont Rider, the librarian of Wesleyan University, estimated that libraries <\/span><a href=\"http:\/\/www.amazon.com\/Scholar-Research-Library-Problem-Solution\/dp\/B005ZN4N8C\/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1339603976&amp;sr=1-1&amp;keywords=The+Scholar+and+the+Future+of+the+Research+Library\"><span style=\"font-weight: 400;\">were doubling in size<\/span><\/a><span style=\"font-weight: 400;\"> every 16 years. His response was one of the first times anyone thought about how to handle this information. In the age of the internet, the average amount of data created, consumed, and stored in 2023 is <\/span><a href=\"https:\/\/www.statista.com\/statistics\/871513\/worldwide-data-created\/\"><span style=\"font-weight: 400;\">120 zettabytes<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This continuous accumulation of information is massive, and the term \u201c<\/span><a href=\"https:\/\/www.bigdataframework.org\/short-history-of-big-data\"><span style=\"font-weight: 400;\">big data<\/span><\/a><span style=\"font-weight: 400;\">\u201d has become part of the lexicon of science.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In the decades since then,<\/span><span style=\"font-weight: 400;\"> the use of data has moved beyond scientific circles into the realm of business. While many predictions from the last 20 to 30 years have come true, others, like the idea that Hadoop-based platforms would make SQL obsolete, have not.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Big data has a significant role in the investing world. The conversation on <\/span><span style=\"font-weight: 400;\">deciphering<\/span><span style=\"font-weight: 400;\"> big data and <\/span><span style=\"font-weight: 400;\">making<\/span><span style=\"font-weight: 400;\"> it useful is now <\/span><span style=\"font-weight: 400;\">at<\/span><span style=\"font-weight: 400;\"> the forefront. How will we use <\/span><span style=\"font-weight: 400;\">data analytics in investment management<\/span><span style=\"font-weight: 400;\">? The key to its value is analysis, which should lead to data-driven predictions and decisions. <\/span><span style=\"font-weight: 400;\">Today\u2019s<\/span><span style=\"font-weight: 400;\"> focus primarily consists of data storage and the processing software required to analyze large amounts of data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">After all, no matter what types of data any investment firm collects, it\u2019s only as good as the plan to manage it and the ability to leverage intelligent analytics to gain insights. Processing massive amounts of data to attain these things requires more than humans can do. Taking things to the next level is now possible with AI.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">The Importance of <\/span><span style=\"font-weight: 400;\">Data Analytics in Investment Management<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The new horizon of data analytics is combining AI with underlying systems and approaches. Almost every industry has been leaning this way, and investment management is no different. The needs of investment managers are unique, but the ultimate goal is similar in terms of acquiring a competitive edge. Obtaining this in a complex landscape requires finding new opportunities and expanding existing business relationships.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data analysis has always been a way to identify these opportunities by gathering metrics that you may have overlooked in one way or another. However, as the size of the data has grown, it\u2019s no longer possible to analyze it without leveraging emerging technology.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Artificial intelligence data analytics<\/span><span style=\"font-weight: 400;\"> is now the foundation of gaining value from data. If you want to future-proof the front office, you must embrace this path. You\u2019ll need the right software tools in a big data world to remain competitive and distinct from the rest.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Moving forward involves comparing and evaluating software for <\/span><span style=\"font-weight: 400;\">data analytics and artificial intelligence<\/span><span style=\"font-weight: 400;\">. There are several capabilities that you should prioritize in this search, including:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Support for\u00a0 ways of finding new clients<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Functionality that offers the ability to identify new market opportunities from existing clients<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Delivery of improved insights to internal and external stakeholders<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enabling more accurate decisions and assistance with decision-making<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Decisioning is a constant in terms of features, which makes sense, as data should always deliver more context and informed conclusions. Improving decision-making and accelerating it comes to fruition with AI and automation.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">AI, Automation, and Data Analytics<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">By 2025, <\/span><a href=\"https:\/\/www.gartner.com\/en\/information-technology\/insights\/data-and-analytics-essential-guides\"><span style=\"font-weight: 400;\">Gartner<\/span><\/a><span style=\"font-weight: 400;\"> predicts that \u201c95% of decisions that currently use data will be at least partly automated.\u201d There has been much discussion on how AI and automation will change how we work. While introducing these things into business processes eliminates a lot of manual work, it will never replace the intelligence of investment and wealth professionals. Rather, it augments the workflows and identifies patterns and trends, which leads to better interpretation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As a result of this new phase of digital transformation, investment in data analytics is soaring. Global expenditures on these systems will surpass <\/span><a href=\"https:\/\/www.statista.com\/statistics\/947745\/worldwide-total-data-market-revenue\/\"><span style=\"font-weight: 400;\">$68 billion<\/span><\/a><span style=\"font-weight: 400;\"> by 2025. <\/span><span style=\"font-weight: 400;\">Investment management data analytics<\/span> <span style=\"font-weight: 400;\">follows<\/span><span style=\"font-weight: 400;\"> this trend, representing one of the industry\u2019s fastest-growing segments. A significant component of this is the use of <\/span><span style=\"font-weight: 400;\">application programming interfaces (APIs)<\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Understanding APIs for Data Analytics<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">While we know the critical role of <\/span><span style=\"font-weight: 400;\">data analytics in investment management<\/span><span style=\"font-weight: 400;\">, understanding how to use the actual data to power solutions is more complex. To simplify this work, <\/span><span style=\"font-weight: 400;\">APIs for data analytics<\/span><span style=\"font-weight: 400;\"> deliver the most complete and effective solution.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">What Are APIs?<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">APIs are not a new concept in the world of the buy-side front office. Defined simply, an API is a set of definitions, communication protocols, and tools for building software. An API <\/span><span style=\"font-weight: 400;\">might<\/span><span style=\"font-weight: 400;\"> be for a web-based system, an operating system, a database system, computer hardware, or a software library.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">How Do APIs Serve Buy-Side Wealth Management Firms?<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">With the emergence of the <\/span><a href=\"https:\/\/www.indataipm.com\/future-proofing-front-office-the-cloud\/\"><span style=\"font-weight: 400;\">cloud<\/span><\/a><span style=\"font-weight: 400;\"> and the internet as the way most software interactions occur, web-based APIs become the most important type of API. Their key purpose is to connect systems and share data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">According to the Gartner Group, \u201cApplication programming interfaces (APIs) make digital society and digital business work. They connect people, businesses, and things. They enable new digital products and business models for services and create new business channels. APIs make digital business work.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Investment firms can analyze more complete data sets in real-time by using APIs to integrate the various systems and software. As a result, you\u2019ll get a deeper comprehension that yields better decisions internally for the firm and externally on behalf of their clients.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Wealth Management APIs Create a Competitive Advantage<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Buy-side<\/span><span style=\"font-weight: 400;\"> firms are under ever-increasing pressure to modernize systems. Most are well aware of this challenge, which now also prioritizes <\/span><span style=\"font-weight: 400;\">artificial intelligence data analytics<\/span><span style=\"font-weight: 400;\">. There are many considerations when implementing advanced technology. There\u2019s the ever-changing regulatory environment, increased investor scrutiny, and downward fee pressures. As a result, systems must do more to provide firms with intelligent analysis of the data within them.<\/span><\/p>\n<p><img decoding=\"async\" class=\"alignleft wp-image-7175 size-medium\" src=\"https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/Copy-of-INDATA-SILOS-300x300.png\" alt=\"data silos\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/Copy-of-INDATA-SILOS-300x300.png 300w, https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/Copy-of-INDATA-SILOS-150x150.png 150w, https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/Copy-of-INDATA-SILOS-80x80.png 80w, https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/Copy-of-INDATA-SILOS-45x45.png 45w, https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/Copy-of-INDATA-SILOS.png 400w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">This can be achieved with open APIs. These types of APIs must be publicly available and easy for developers to integrate with. When open APIs are part of your technology platform, you have the power to proceed with integrating data analytics.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">APIs have numerous uses that can effectively connect mission-critical systems in a plug-and-play fashion. Some examples include portfolio modeling\/optimization, risk\/analytics engines, compliance, OMS trading, and back-office systems.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Without good wealth management APIs to connect systems, front-office software quickly leads to data silos. When data exists in silos, it\u2019s not as transformative. When systems can\u2019t communicate, there is a risk of missed opportunities and more costly challenges, including:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Time-consuming manual data manipulation and associated errors<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Slower reaction time due to outdated data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The reduced ability to deliver total transparency to clients<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Even worse, many buy-side front-office vendors don\u2019t fully support APIs or do so in name only. For example, established vendors may provide an API for custom application development but fail to produce an API that connects with external systems to gather real-time data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sometimes, it\u2019s a business decision for vendors who don\u2019t believe providing a comprehensive solution for investment firms is a strategic priority.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That\u2019s not our philosophy. INDATA <\/span><span style=\"font-weight: 400;\">supports<\/span><span style=\"font-weight: 400;\"> the idea that wealth management APIs represent the best opportunities for investment firms. We developed the INDATA iPM SaaS with integrated <\/span><span style=\"font-weight: 400;\">artificial intelligence data analytics<\/span><span style=\"font-weight: 400;\"> to ensure that you can deploy a flexible and comprehensive solution. This creates numerous competitive advantages, reduces costs, and allows for faster deployment of mission-critical information across the organization.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">The Role of IMC in Investment Management Data Analytics<\/span><\/h3>\n<p><img decoding=\"async\" class=\"alignright wp-image-7173\" src=\"https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/3-300x300.png\" alt=\"imc quote\" width=\"269\" height=\"269\" srcset=\"https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/3-300x300.png 300w, https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/3-150x150.png 150w, https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/3-80x80.png 80w, https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/3-45x45.png 45w, https:\/\/www.indataipm.com\/wp-content\/uploads\/2022\/11\/3.png 400w\" sizes=\"(max-width: 269px) 100vw, 269px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Big data analytics powered by APIs has a leading current and future role to play in wealth management. They connect all crucial systems and drive front-office analytics, investment decision-making, compliance, and other essential functions for investment managers.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In addition to understanding APIs, it\u2019s critical to know that data analytics continues to shape the world of front-office software systems through the analytical tools themselves.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Of the tools currently available, in-memory computing (IMC) is one of the most important. It stores data in RAM rather than in databases hosted on disks. This structure exponentially speeds up data access because RAM-stored data is available instantaneously. IMC can cache massive amounts of data, enabling swift response times and storing session data to achieve optimum performance.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span style=\"font-weight: 400;\">Artificial Intelligence Data Analytics Represents the Future of Wealth and Investment Management<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">In a world of cloud-based software dominating the front office, data analytics driven by APIs will become even more essential. As the amount of data investment managers produce grows, systems must seamlessly share and analyze every byte of data. And, because the cloud will host most of the data, open APIs are essential for modern data analytics in investment management firms. <\/span><span style=\"font-weight: 400;\">Your<\/span><span style=\"font-weight: 400;\"> data analytics technology must <\/span><span style=\"font-weight: 400;\">also<\/span><span style=\"font-weight: 400;\"> have an AI component in order to be competitive.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Don\u2019t get left behind by not modernizing and future-proofing the front office. The time is now to implement this new technology. It has immeasurable value for you and your clients.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As you assess OMS and <\/span><span style=\"font-weight: 400;\">portfolio management<\/span><span style=\"font-weight: 400;\"> system providers, ask, \u201cWhat can we do with our data with your system?\u201d\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The answer you\u2019ll receive from INDATA is a wealth of possibilities. <\/span><span style=\"font-weight: 400;\">Buy-side<\/span><span style=\"font-weight: 400;\"> firms trust our cloud-native, SaaS-based solutions for OMS and <\/span><span style=\"font-weight: 400;\">portfolio management<\/span><span style=\"font-weight: 400;\"> that data analytics powered by AI. These solutions reside in INDATA\u2019s iPM Private Cloud, which integrates robust data analytics and AI tools. <\/span><a href=\"https:\/\/www.indataipm.com\/request-a-demo\/\"><span style=\"font-weight: 400;\">Schedule a demo<\/span><\/a><span style=\"font-weight: 400;\"> today to learn how we can propel your firm into the future.<\/span>[\/vc_column_text][vc_raw_js]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[\/vc_raw_js][vc_empty_space height=&#8221;10px&#8221;][\/vc_column][\/vc_row]\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text] Data Analytics Powered by APIs \u2013 Solving the Data Challenge Part 2 of a 3-part series on Future-Proofing the Front Office. Want to download the full Whitepaper directly? Get [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":7423,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"image","meta":{"_acf_changed":false,"_stc_notifier_status":"sent","_stc_notifier_sent_time":"2022-08-31 08:08:25","_stc_notifier_request":false,"_stc_notifier_prevent":false,"_stc_subscriber_keywords":"","_stc_subscriber_search_areas":"","content-type":"","footnotes":""},"categories":[177,100,38,94,106],"tags":[],"class_list":["post-7177","post","type-post","status-publish","format-image","has-post-thumbnail","hentry","category-ai-investment-management","category-blog-articles","category-data-management","category-featured","category-white-papers","post_format-post-format-image"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Future-Proof Your Front Office With API-Powered Analytics<\/title>\n<meta name=\"description\" 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