By Basem Fawzy

A shopper researches a product online, tries it in a store, orders it that evening and collects it the next day. A week later, they return it to another branch. The shopper sees one retailer. Inside that retailer, the same sequence may appear in several reports owned by different teams.

Store sales, website conversion, pickup performance and returns can all be measured correctly while leaving leadership with an incomplete account of what happened.

A useful starting point for Retail Analytics Consulting is to identify where one team’s results depend on an event recorded by another.

Store sales do not capture every store contribution

If someone tries a product in person and buys it online later, the website records the sale. The store may have helped the customer decide. That contribution is difficult to see when management assesses a branch only through transactions at its tills.

Assess that contribution using evidence such as pickup orders and matched transactions. Anonymous browsing and unrecorded visits will leave some connections uncertain. A nearby online sale alone cannot establish that a store influenced the purchase.

Figure 1 shows why the handoffs matter. Each step creates an opportunity for another team to influence the customer’s next decision.

Figure 1. A customer journey can span several teams. Link recorded events where shared identifiers are available.

Returns reveal where the connection breaks

In its 2025 Retail Returns Landscape, NRF estimated that 19.3% of online sales would be returned that year. That forecast illustrates why returns deserve attention beyond the finance report.

An online order returned to a store could end in a refund, exchange or unresolved complaint. The original cause might be inaccurate product information, damage or a late delivery. Recording only the refund value leaves those distinctions hidden.

Without a connection to the original order, the store handling the return can look responsible for a problem that began elsewhere. Linking the purchase, fulfillment and return records gives managers a better basis for investigating the cause. It also helps distinguish a store resolving a customer’s problem from a store creating one.

Review the rate alongside the number of orders, product mix and recorded reasons. A high return rate on a small number of orders calls for a different investigation from a persistent issue affecting a frequently sold product. Separate damaged items from changes of mind before deciding what to fix.

Why are orders delayed, cancelled, or returned?

Start with a problem the team needs to solve. If collection orders are being cancelled, connect the order, stock availability, promised collection time, and cancellation reason. Was the item unavailable, was it not ready when promised, or did the customer change their mind? Each explanation calls for a different response—and an overall cancellation rate cannot tell you which one applies.

For returns, connect the original order line with the return reason, handling location and final outcome. Keep a partial return distinguishable from a complete refund, and an exchange distinguishable from a lost sale.

These links need reliable identifiers. A customer name or an approximate timestamp is not enough on its own. Where records cannot be matched confidently, show the gap instead of treating a guess as a complete journey.

Also preserve what each record represents. One order may contain several items and generate several service contacts. Joining everything into one flat table can repeat the sale and inflate revenue. Use separate measures for orders, items, returns and contacts, connected through appropriate identifiers.

Agree on definitions before comparing locations. One team may record a cancellation when the shopper requests it; another may record it when a refund is processed. Those dates answer different questions. An agreed definition and time period prevent reporting differences from being mistaken for performance differences.

Teams can then keep measures they can act on while management investigates how events in one process affect another.

Build a management view that connects the measures

For a practical illustration of retail reporting, a recent Retail Analytics example from Data Pivot brings sales, margin, inventory and store performance into a Power BI report. Figure 2 shows the demonstration dashboard, which uses synthetic data.

Figure 2. Retail performance dashboard developed by Data Pivot Consulting using synthetic demonstration data, illustrating how sales, inventory, and operational metrics can support management reporting.

Reviewing these measures together helps a manager ask whether sales are rising while availability problems persist in particular stores. For customer experience reporting, extend that approach with linked orders, pickup events and returns, then investigate whether service issues are concentrated in certain products or locations.

A store with repeated collection complaints may need a change to its readiness notifications. Compare when the order was actually ready with when the message was sent before deciding on the remedy. The pattern may point to a communication problem, a picking delay or an inaccurate stock record.

Make the weekly review follow the journey

I would use the weekly review to trace a recurring customer problem through the relevant records. Where did the promise fail? Which event explains the outcome? Who can change the process?

Assign an owner and a measure for the next review. Reporting becomes useful when it helps the retailer fix a handoff the customer experiences, even when that handoff crosses several teams.

Then check whether the change reduced the original problem without moving it elsewhere. Faster pickup completion, for example, needs to be read alongside cancellations and customer contacts if those signals suggest shoppers are still struggling.

About the author

Basem Fawzy is the founder of Data Pivot Consulting. He is a Microsoft Certified Power BI Developer and MBA graduate in E-Business with more than 10 years of experience in business intelligence, data modeling, dashboard development and reporting automation. He has worked with more than 200 clients and regularly translates operational data into management-level reporting frameworks.

For a MedTech startup, cybersecurity can easily be viewed as a technical requirement that sits somewhere between product development, regulatory compliance, and IT operations. That perspective is becoming increasingly outdated. As medical devices become more connected, software-driven, cloud-enabled, and dependent on digital ecosystems, cybersecurity is becoming part of the product itself. For startups seeking investment and regulatory clearance, the ability to demonstrate that security has been considered from the beginning can influence how investors, regulators, healthcare organizations, and potential partners view the company.

A strong cybersecurity strategy does more than reduce the possibility of a breach. It can demonstrate operational maturity, support regulatory objectives, strengthen customer confidence, and reduce the uncertainty surrounding a young company’s technology. This matters particularly in MedTech, where a cybersecurity weakness can potentially affect not only data confidentiality but also device availability, clinical workflows, and patient safety. For startups operating with limited resources, treating security as a strategic business function rather than a final compliance exercise can create meaningful advantages throughout the product lifecycle.

Why Cybersecurity Matters Earlier Than Most Startups Expect

Many startups understandably prioritize product-market fit, clinical validation, engineering, fundraising, and regulatory planning. Cybersecurity may initially appear less urgent because the company has not yet reached a large customer base or deployed thousands of devices. However, the earlier security decisions often become embedded in the architecture, making them increasingly expensive to change later.

A connected medical device may interact with mobile applications, cloud platforms, hospital networks, APIs, databases, third-party services, and other medical technologies. Each connection can introduce security considerations that need to be understood and managed. Building security into the architecture from the beginning allows development teams to address authentication, authorization, encryption, secure communications, logging, software updates, vulnerability management, and access controls before these issues become difficult to remediate.

This approach also aligns with the broader direction of medical-device cybersecurity expectations. Organizations such as the U.S. Food and Drug Administration have increasingly emphasized cybersecurity throughout the product lifecycle rather than treating it as an issue that ends when a product reaches the market. For a startup, this means cybersecurity should be integrated into product development, risk management, documentation, testing, post-market monitoring, and maintenance planning.

Cybersecurity Can Strengthen an Investment Story

Investors evaluating a MedTech startup are not simply examining whether an innovative device works. They are also considering whether the company can responsibly scale its technology, enter healthcare environments, satisfy regulatory requirements, and manage risks that could affect its valuation. Cybersecurity can contribute directly to that assessment.

A startup that can clearly explain its security architecture, threat model, vulnerability-management process, software-update strategy, and incident-response capabilities may demonstrate a level of operational preparedness that goes beyond a compelling prototype. Investors can see that the company has considered what happens after deployment, rather than focusing exclusively on achieving initial technical milestones.

Cybersecurity can also reduce perceived execution risk. If a startup waits until late-stage development to discover that its architecture needs substantial security changes, the consequences may include additional engineering work, testing, documentation, regulatory delays, and increased development costs. A mature security program helps identify these challenges earlier. In an investment environment where capital efficiency and predictable development timelines matter, reducing avoidable technical surprises can be valuable.

Regulatory Clearance and Security Are Increasingly Connected

For medical-device startups pursuing regulatory clearance, cybersecurity cannot be separated neatly from safety and risk management. A vulnerability may create consequences that extend beyond unauthorized access to information. Depending on the device and its intended use, compromised software, disrupted connectivity, or manipulation of system functionality could affect clinical operations or device performance.

That is why cybersecurity considerations should be incorporated into the product’s broader risk-management framework. Threat modeling can help teams identify potential attack paths and understand how security events could affect users, systems, and patients. Security controls can then be designed and tested in relation to those risks rather than added as isolated technical features.

The regulatory process also requires documentation. A startup needs to be able to explain how cybersecurity risks were identified, what controls were implemented, how those controls were evaluated, and how vulnerabilities will be managed after deployment. Engineering teams, quality teams, regulatory specialists, and security professionals therefore need to work together rather than operating in separate silos.

Turning Security Into a Practical Business Capability

Cybersecurity does not have to mean building a massive security department before a startup has meaningful revenue. The goal is to establish controls and processes that match the company’s size, technology, risk profile, and regulatory obligations.

A practical program begins with understanding the product’s attack surface. Teams should identify the device components, software, cloud services, APIs, communication channels, third-party libraries, development environments, and external systems involved in delivering the product. This creates the foundation for meaningful threat modeling and risk assessment.

Startups seeking specialized guidance can also explore cybersecurity resources and professional services by choosing to visit bluegoatcyber.com. External expertise can be particularly useful when a small internal team needs assistance interpreting medical-device cybersecurity expectations, assessing technical risks, or preparing security processes that can withstand regulatory and commercial scrutiny.

Security Can Influence Healthcare Customer Confidence

Regulatory clearance is an important milestone, but it does not automatically mean a medical device will be easy to sell. Hospitals, healthcare systems, distributors, and other institutional customers often have their own security requirements and vendor-assessment processes. A startup may therefore encounter cybersecurity questions from potential customers even after regulatory work has been completed.

Customers may want to understand how the device is secured, what information it processes, how credentials are managed, how software updates are delivered, how vulnerabilities are disclosed, and what happens if an incident occurs. They may also evaluate the security of associated cloud platforms, mobile applications, APIs, and support systems.

Preparing for these questions early can shorten commercial discussions and reduce friction during procurement. Instead of developing security documentation only when a hospital asks for it, a startup can maintain a consistent body of evidence that supports customer conversations. This can include security policies, architecture documentation, testing records, vulnerability-management procedures, incident-response plans, and relevant product security information.

Building Cybersecurity Into the Company Culture

Technology alone cannot create a resilient security program. Employees, contractors, developers, executives, and vendors all influence the organization’s security posture. A startup therefore benefits from establishing cybersecurity responsibilities across the business rather than assigning the entire subject to one technical individual.

Developers should understand secure coding principles and vulnerability reporting. Product teams should consider security requirements alongside usability and functionality. Regulatory and quality teams should understand how cybersecurity evidence relates to the product lifecycle. Leadership should understand the business implications of unresolved vulnerabilities and the resources required to manage them responsibly.

This culture becomes particularly important as the company grows. Early-stage teams often move quickly and make architectural decisions under significant time pressure. Establishing repeatable security processes can help maintain that speed without allowing security considerations to disappear when priorities change.

A Long-Term Advantage Beyond the First Clearance

The strongest cybersecurity programs are designed with the entire product lifecycle in mind. Medical devices can remain in use for years, and their software environments may change substantially after initial deployment. New vulnerabilities can emerge in operating systems, libraries, cloud services, communication protocols, and third-party components long after a product has received clearance.

A startup that establishes post-market vulnerability monitoring, coordinated vulnerability disclosure, patch management, incident response, and software-update processes is better positioned to manage those changes. These capabilities can also support future product development because lessons learned from one device or software platform can inform subsequent offerings.

Cybersecurity can therefore become an organizational capability rather than a one-time regulatory project. Over time, that capability can help the company respond more effectively to customer security questionnaires, regulatory expectations, emerging vulnerabilities, acquisition due diligence, partnerships, and expansion into new markets.

Conclusion

For MedTech startups, cybersecurity is no longer simply a technical safeguard positioned at the end of product development. It is increasingly connected to product quality, regulatory readiness, commercial credibility, and long-term operational resilience. Building security into the design process can help startups identify risks earlier, maintain stronger documentation, and demonstrate that they understand the responsibilities that come with introducing connected technology into healthcare.

The most effective approach is not to treat cybersecurity as an obstacle standing between a startup and funding or regulatory clearance. Instead, it can be integrated into the company’s broader strategy from the beginning. When security requirements, risk management, engineering practices, regulatory planning, and post-market processes work together, cybersecurity becomes evidence of organizational maturity. For a growing MedTech company, that maturity can support more confident conversations with investors, regulators, healthcare customers, and strategic partners while creating a stronger foundation for responsible innovation.