Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study, 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data. But poor data quality, siloed data, entrenched processes, and cultural resistance often present roadblocks to using data to speed up decision making and innovation.

We asked the CIO Experts Network, a community of IT professionals, industry analysts, and other influencers, why real-time data is so important for today’s business and how data helps organizations make better, faster decisions. Based on their responses, here are four recommendations for improving your ability to make data-driven decisions. 

Use real-time data for business agility, efficient operations, and more

Business and IT leaders must keep pace with customer demands while dealing with ever-shifting market forces. Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova (@Eli_Krumova), a digital consultant, thought leader and technology influencer.

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova.

Other experts agree that access to real-time data provides a variety of benefits, including competitive advantage, improved customer experiences, more efficient operations, and confidence amid uncertain market forces:

“Business operations must be able to make adjustments and corrections in near real time to stay ahead of the competition. Few companies have the luxury of waiting days or weeks to analyze data before reacting. Customers have too many options. And in some industries — like healthcare, financial services, manufacturing, etc., — not having real-time data to make rapid critical adjustments can lead to catastrophic outcomes.” — Jack Gold (@jckgld), President and Principal Analyst at J. Gold Associates LLC.

“When insights from the marketplace are not transmitted in real time, the ability to make critical business decisions disappears. We’ve all experienced the pain of what continues to happen with the disconnect between customer usage metrics and gaps in supply chain data.” — Frank Cutitta (@fcutitta), CEO and Founder, HealthTech Decisions Lab

“Operationally, think of logistics. Real-time data provides the most current intelligence to manage the fleet and delivery, for example. Strategically, with meaningful real-time data, systemic issues are easier to identify, portfolio decisions faster to make, and performance easier to evaluate. At the end of the day, it drives better results in safety, customer satisfaction, the bottom line, and ESG [environmental, social, and governance].” — Helen Yu (@YuHelenYu), Founder and CEO, Tigon Advisory Corp.

“Businesses are facing a rapidly evolving set of threats from supply chain constraints, rising fuel costs, and shipping delays. Taking too much time to make a decision based on stale data can increase overall costs due to changes in fuel prices, availability of inventory, and logistics impacting the shipping and delivery of products. Organizations utilizing real-time data are the best positioned to deal with volatile markets.” — Jason James (@itlinchpin), CIO at Net Health

Build a foundation for continuous improvement

The experts offered several practical examples of how real-time data can help deliver continuous improvement in a variety of areas across the business, with the help of automation, which is a key capability for making data actionable.

“In the process of digital transformation, businesses are moving from human-dependent to digital business processes,” said Nikolay Ganyushkin (nikolaygan), CEO and Co-founder of Acure. “This means that all changes, all transitions, are instantaneous. The control of key parameters and business indicators should also be based on real-time data, otherwise such control will not keep up with the processes.”

Real-time data and automated processes present a powerful combination for improving cybersecurity and resiliency.

“When I was coming up in InfoSec, we could only do vulnerability scanning between midnight and 6 am. We never got good results because systems were either off, or there was just nothing going on at those hours,” said George Gerchow (@georgegerchow), CSO and SVP of IT, Sumo Logic. “Today, we do them at the height of business traffic and can clearly see trends of potential service outages or security incidents.”

Will Kelly (@willkelly), an analyst and writer focused on the cloud and DevOps, said that harnessing real-time data is critical “in a world where delaying business and security decisions can prove even more costly than just a couple of years ago. Tapping into real-time data provides decision-makers with immediate access to actionable intelligence, whether a security alert on an attack in-progress or data on a supply chain issue as it happens.”

Real-time data facilitates timely, relevant, and insightful decisions down to the business unit level, said Gene De Libero (@GeneDeLibero), Chief Strategy Officer at GeekHive.com. Those decisions can have a direct impact on customers. “Companies can uncover and respond to changes in consumer behavior to promote faster and more efficient personalization and customization of customer experiences,” he said.

Deploy an end-to-end approach to storing, accessing, and analyzing data

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis. These components, including cloud-based databases, data lakes, and data warehouses, artificial intelligence and machine learning (AI/ML) tools, analytics, and internet of things capabilities, must be part of a holistic, end-to-end strategy across the enterprise:

“Real-time data means removing the friction and latency from sourcing data, processing it, and enabling more people to develop smarter insights. Better decisions come from people trusting that the data reflects evolving customer needs and captures an accurate state of operations.” — Isaac Sacolick (@nyike), StarCIO Leader and Author of Digital Trailblazer

“Organizations must use a system that draws information across integrated applications. This is often made simpler if the number of platforms is kept to a minimum. This is the only way to enable a real-time, 360-degree view of everything that is happening across an organization — from customer journeys to the state of finances.” — Sridhar Iyengar (@iSridhar), Managing Director, Zoho Europe

“Streaming processing platforms allow applications to respond to new data events instantaneously. Whether you’re distributing news events, moving just-in-time inventory, or processing clinical test results, the ability to process that data instantly is the power of real-time data.” — Peter B. Nichol (@PeterBNichol), Chief Technology Officer at OROCA Innovations

As your data increases, expand your data-driven capabilities

The volume and types of data organizations collect will continue to increase. Forward-thinking leadership teams will continue to expand their ability to leverage that data in new and different ways to improve business outcomes.

“The power of real-time data is amplified when your organization can enrich data with additional intelligence gathered from the organization,” said Nichol. “Advanced analytics can enhance events with scoring models, expanded business rules, or even new data.”

Nichol offered the example of combining a customer’s call — using an interactive voice response system — with their prior account history to enrich the interaction. “By joining events, we can build intelligent experiences for our customers, all in real time,” he said.

It’s one of the many ways that new technologies are increasing the opportunities to use real-time data to fundamentally change how businesses operate, now and in the future.

“As businesses become increasingly digitalized, the amount of data they have available is only going to increase,” said Iyengar. “We can expect real-time data to have a more significant impact on decision-making processes within leading, forward-thinking organizations as we head deeper into our data-centric future.”

Learn more about ways to put your data to work on the most scalable, trusted, and secure cloud.

Business Intelligence

You may think that the size of your business makes you less vulnerable to fraud attacks, but the opposite can often be the case. Sophisticated fraudsters have a good idea about which businesses have less protection or don’t have a dedicated fraud manager. In particular, they may target what they regard as relatively undefended businesses with card testing attacks. We’ve written about card testing before, but here’s a quick refresh of what it is and how it can affect your business.

What is card testing?

Fraudsters use card testing to determine the validity of stolen or fraudulently obtained card details. They attempt multiple purchases on an e-commerce website like yours (often using a botnet for speed and scale). If a transaction is approved, they know they can use the card. If, on the other hand, a card has already been canceled by its owner, authorization will be declined, and the fraudster will move on to testing the next card.

What is the impact of a card testing attack?

Our risk analysts have found that a card testing attack can negatively affect an unprepared business for several months, causing financial and other losses. Here’s a typical timeline of what you could experience:

Day 1 (attack day)

The fraudster submits potentially thousands of orders, many of which could be approved. Approved orders for physical goods could start to ship, resulting in lost product. Once card issuers become aware of what’s happening, they may ask your acquirer to shut down your ability to process transactions. You’ll need to provide proof of a mitigation strategy before you can restart transaction processing.

Day 2-30

Because the fraudster submitted so many transactions, you may have to pay significant authorization processing fees to your acquirer and payment gateway. For example, your authorization fees could jump from an average of $40 a month to $15,000 a month. To add insult to injury, you won’t earn any revenue on these transactions, either.

Day 31-120

Chargebacks and their associated fees start to roll in because transactions weren’t reversed during the initial attack.

Ongoing

Your business could experience brand and reputational damage and loss of customer trust.

How can I protect my business from card testing?

Unfortunately, once a card testing attack is in progress, there’s little you can do. Your future self will thank you if, instead of reacting to an attack, you take a proactive approach to preventing card testing (and other types of fraud).

No single solution can completely stop fraud, which is why we recommend a multi-layered strategy. Consider combining best practices like risk reviews, minimum payment thresholds, and early identification of anomalies (which we wrote about here) with a range of capable tools.

How Cybersource can help

In addition to following best practices, a fraud management tool is another layer of defense against card testing and other types of fraud.

If you already use Cybersource’s payment platform, consider integrating Fraud Management Essentials to help prevent fraudulent transactions (including card testing) before they get as far as authorization.

Fraud Management Essentials is ready to use and easy to configure. Developed with Cybersource’s expertise and built on Visa’s scale, its powerful features include:

Velocity rules that can track, count, and reject repeated transaction attempts that share common data elements or exceed transaction volume limitsAmount thresholds that can limit transactions to those that are appropriate for your business

Not an expert at managing eCommerce fraud? Don’t worry. To help you get started, Fraud Management Essentials comes with online training modules that you can access anytime.

By combining best practices with fraud and risk tools, you can better protect your business against card testing and other types of fraud and avoid the associated costs and negative impact on your brand.

Learn more about Fraud Management Essentials and Cybersource’s other fraud and risk solutions.

Fraud Protection and Detection Software, IT Leadership

Artificial intelligence (AI) is one?if not the?key technology of our decade. Technological advances in this field are not only fundamentally changing our economies, industries and markets, but are also exerting enormous influence on traditional business practices, many of which will disappear, while others will be transformed or completely reinvented.