# How Can Stream Processing Act As A Catalyst For Innovation In Financial Services?
Author:  Pal Sinha, Barnali 
Author URL: https://financedigest.com/author/pal-sinha-barnali
Published: 2019-03-28
Category: FINANCE
Category URL: https://financedigest.com/category/finance
Meta Title: Stream Processing: The Future of Innovation in Finance
Meta Description: Discover how stream processing is revolutionising the finance industry with real-time fraud detection and enhanced customer experiences. Stay ahead of the game!
URL: https://financedigest.com/how-can-stream-processing-act-as-a-catalyst-for-innovation-in-financial-serviceshtml

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By **Robert Metzger**, Co-founder, Engineer Lead at Ververica

Financial organisations across the world are going through an extensive digital transformation as market volatility intensifies, consumer behaviour changes and regulators’ requirements increase. The capital markets and finance industries are transitioning from minimum digitisation and automation in their business processes to becoming highly-automated and software-operated. According to [analysts](https://www.researchandmarkets.com/research/bbfpdm/big_data_in_the?w=4), financial services spend on big data technologies will surpass $14 billion in 2021, up from $9 billion in 2018, growing at a CAGR of approximately 17 percent over the next three years.

![Robert Metzger](https://prod.superblogcdn.com/site_cuid_cm5qst7v3003gwirgwqtxn8i8/images/robert-metzger-1736839088659-compressed.jpg)

Robert Metzger

By adopting stream processing and a streaming data architecture, financial [services organisations are able to implement the necessary changes to business](https://www.financedigest.com/philanthropy-is-an-underrated-tool-for-growing-financial-services-businesses.html "Philanthropy Is an Underrated Tool for Growing Financial Services Businesses") models and processes in an agile and cost-efficient manner. This streaming [data architecture environment allows financial services organisations to transform](https://www.financedigest.com/is-the-road-to-data-transformation-slowing-digital-transformation.html "Is the road to data transformation slowing digital transformation?") into a new way of reacting to information. In this new reality, [businesses can benefit](https://www.financedigest.com/how-choosing-the-right-mtd-for-vat-software-can-maximise-business-benefits.html "How choosing the right MTD for VAT software can maximise business benefits") from real-time insight and build 24/7, data-driven applications that make any required changes and alerts instantly.

As more and more financial services organisations modernise their infrastructure, let’s take a closer look at the ways we can expect stream processing to act as a primary catalyst for [innovation in the finance](https://www.financedigest.com/innovations-in-finance.html "Innovations in finance") industry of the future.

**Detecting Cybersecurity Fraud In Real-time**

By using a streaming data architecture, financial services organisations are able to [process data](https://www.financedigest.com/crowdsourcing-of-data-to-drive-the-high-throughput-process-development-market.html "Crowdsourcing of data to drive the High Throughput Process Development Market") at the moment it is generated i.e. at the exact point when it’s most valuable. Using stream processing, businesses can build real-time fraud detection systems and powerful machine learning algorithms. This combination enables the detection of fraudulent actions in real-time and can, therefore, avoid any potential losses for the business and mitigate any potentially negative [customer experience](https://www.financedigest.com/customer-experience-creating-the-calm-in-the-chaos.html "Customer Experience: creating the calm in the chaos"). The more sophisticated these tools become, the more powerful the response that financial services organisations have in the face of [credit card](https://www.financedigest.com/credit-cards-how-to-choose-a-credit-card.html "Credit Cards: How to choose a credit card") fraud, identity theft, fraudulent transactions or any other forms of cyber security threat.

One example of a [bank using stream processing to power its real-time fraud](https://www.financedigest.com/finance-brokers-bank-on-red-flag-alert-to-help-beat-fraud.html "FINANCE BROKERS BANK ON RED FLAG ALERT TO HELP BEAT FRAUD") detection engine is ING. They were able to build an Apache Flink-powered risk engine that allowed the company to respond to new, previously-unknown threats instantly. [ING’s fraud detection system](https://www.ververica.com/blog/real-time-fraud-detection-ing-bank-apache-flink) supports multiple goals for the business – it supports a range of machine learning models and has built a risk-engine that can be deployed in different environments.

**A 360 [Customer Experience](https://www.financedigest.com/how-omnichannel-identity-servers-help-enterprises-enhance-customer-experience-unlock-cost-savings-and-accelerate-time-to-market.html "How omnichannel identity servers help enterprises enhance customer experience, unlock cost savings and accelerate time to market")**

A whole slew of [fintech companies is starting to exhibit a significant competitive threat](https://www.financedigest.com/7-cyber-threats-fintech-companies-should-watch-out-for.html "7 Cyber Threats FinTech Companies Should Watch Out For") to the finance industry. These newcomers to the game can [innovate faster and can also provide personalised experiences for their customers](https://www.financedigest.com/customized-innovation-to-drive-the-human-microbiome-market.html "Customized innovation to drive the Human Microbiome Market"). Therefore by adopting stream processing, the finance industry can stay ahead of competition by building a 360° customer view program that can analyse real-time data. Some financial services organisations have millions of customers that generate billions of transactions on a daily basis and who engage with the company’s web and mobile portals, as [well as customer services](https://www.financedigest.com/uk-says-baker-hughes-altus-deal-may-hurt-competition-in-oil-well-services.html "UK says Baker Hughes-Altus deal may hurt competition in oil well services") tools and agents. Imagine being able to process and respond to such data transactions in real-time. This will surely allow for much better monitoring of [customer health and loyalty](https://www.financedigest.com/the-problem-with-measuring-customer-loyalty-and-how-to-overcome-it.html "The problem with measuring customer loyalty; and how to overcome it"). Also, such real-time processing enables a company to create a more tailored product offering, depending on what transaction types the customer favours or how they interact with the organisation’s website, [mobile app](https://www.financedigest.com/the-growth-of-mobile-fintech-and-the-impact-for-mobile-app-marketers.html "The growth of mobile fintech and the impact for mobile app marketers"), customer support portal etc. Completely understanding the customer viewpoint and providing real-time response is the best way to meet the challenges of the modern financial [services industry](https://www.financedigest.com/hybrid-working-a-risk-or-opportunity-for-the-financial-services-industry-2.html "Hybrid working: a risk or opportunity for the financial services industry?").

Capital One uses stream processing and Apache Flink for [real-time monitoring of customer activity data](https://www.slideshare.net/FlinkForward/flink-case-study-capital-one?ref=https://2015.flink-forward.org/?post_type=session) to ensure issues are detected and resolved proactively, something that provides an enhanced digital customer experience.

**Simplifying Regulatory Compliance**

The financial services (and [capital markets](https://www.financedigest.com/jason-colodne-of-colbeck-capitals-april-3-market-rewind.html "Jason Colodne of Colbeck Capital’s April 3 Market Rewind")) industry often operates in a complex regulatory environment. There is still a fair amount of manual work involved in reporting to regulatory bodies creating additional cost and overhead for the [finance industry](https://www.financedigest.com/keeping-ahead-of-network-challenges-in-the-finance-industry.html "Keeping ahead of network challenges in the finance industry"). The pace of change associated with this regulatory [landscape throws up some major challenges for financial services](https://www.financedigest.com/trends-in-the-financial-service-landscape-and-the-impact-on-fraud.html "Trends in the financial service landscape and the impact on fraud") organisations. Stream processing can enable technology-led, real-time [compliance that moves away](https://www.financedigest.com/ifrs-15-moving-away-from-short-term-fixes-is-vital-for-effective-compliance.html "IFRS 15: Moving away from short-term fixes is vital for effective compliance") from manual checks, instead offering always-on, data-driven systems that alert and report instantly on the current state of the business to different regulatory bodies. Stream processing is often used for maintaining a real-time market position and ground-source-of-truth state across the organisation that, in turn, provides a real-time view of the [bank’s risk](https://www.financedigest.com/ukraines-giant-seed-bank-at-risk-of-being-lost-as-war-rages.html "Ukraine’s giant seed bank at risk of being lost as war rages") exposure. Streaming data architectures allow [compliance departments to continuously process information in real-time avoiding](https://www.financedigest.com/how-to-avoid-the-compliance-recruitment-merry-go-round.html "HOW TO AVOID THE COMPLIANCE RECRUITMENT MERRY-GO-ROUND") any hefty fines by regulatory bodies due to non-compliance.

These are just some examples of how stream [processing can power modern financial services organisations to become real-time and software-operated businesses](https://www.financedigest.com/automating-business-processes-is-essential-to-digital-transformation.html "Automating business processes is essential to digital transformation") of tomorrow. According to IDC by 2025, [nearly 30 percent of the so-called “global](https://www.financedigest.com/building-and-construction-to-continue-accounting-for-nearly-half-of-tower-cranes-sales-globally-fmi.html "Building and Construction to Continue Accounting for Nearly Half of Tower Cranes Sales Globally: FMI") datasphere” will become real-time information\[1\], we can surely expect stream processing to be a pivotal new paradigm for [data processing in the finance industry](https://www.financedigest.com/how-to-drive-a-data-culture-in-the-finance-industry.html "How to drive a data culture in the finance industry") of tomorrow.

\[1\] [https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf](https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf)


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