From 5G to Smart Cities: How BAs Find Business Opportunities in Connected Data
Most people hear “5G” and think faster phone downloads. Business analysts should hear something different: a web of connected data and processes capable of transforming entire industries. In this episode of the Better Business Analyst Podcast, Benjamin Walsh unpacks what advanced connectivity — 5G, IoT, edge computing, and smart city technology — actually means for BAs, and how to find the real business opportunities hiding inside it. What Advanced Connectivity Actually Means for Business Here’s the technical picture, stripped of the buzzwords. 5G and 6G networks create ultra-low latency connections — data moves between devices, sensors, and systems in near real time. Pair that with IoT (billions of sensors and smart devices, many available for a few dollars on AliExpress) and you have live operational data everywhere. Add edge computing — which processes data locally rather than sending everything back to the cloud — and you get faster insights, lower costs, and new levels of automation. But here’s the BA translation: every sensor or device is part of a process. Every data point is a potential decision trigger. Every connected system creates an opportunity to add — or lose — value. The technology isn’t the story. The process change it enables is. Three Questions That Surface Every Connectivity Opportunity When Benjamin encounters new connectivity capabilities, he asks three questions to find where the real BA work is: Where does new data appear? — What sensors, systems, or connections are generating data that didn’t exist before? How does it change decisions? — Which decisions that used to be made manually, slowly, or with incomplete information can now be made faster or automated? What services, risks, or costs does it affect? — Where is the business impact — cost reduction, new revenue, risk mitigation, or improved customer experience? These three questions turn a technology trend into a BA engagement. The role of the BA is to map where connectivity meets the business — and that’s a process story, not a technical one. Real Examples: Where Connected Data Creates BA Opportunity Utilities and Energy: Smart Meters Smart meters and IoT sensors stream usage and fault data continuously. The opportunity: predictive maintenance (fix faults before they cause outages), dynamic pricing (charge more at peak times, less at off-peak), and customer transparency (show customers their real-time usage). A BA can define the data flows, map the changed processes, and qualify the business case — including the flip side: smart meters cost significant money to deploy and operate. Does the business case actually hold up once you model it properly? That’s a BA question, not a technical one. Local Government and Smart Cities Traffic sensors, GPS-tracked waste collection trucks, and connected street lighting all generate operational data. The opportunity: smarter truck routes (fewer kilometres, lower emissions, lower cost), faster fault detection (knowing when a streetlight fails before a resident reports it), and better traffic management. The BA connects that raw data to performance metrics and service delivery goals. This is process improvement at city scale — and it’s an area Benjamin is increasingly focused on. Healthcare: Wearables and Remote Monitoring Wearables, remote monitoring devices, and connected diagnostic tools shift healthcare from reactive to preventative — which is fundamentally a cost and outcomes story. For the BA, the work is analysing stakeholder needs (patients, clinicians, administrators), mapping patient journeys, and understanding the data dependencies between them. Security and privacy constraints are also key BA considerations in this space. The Core BA Insight: Sense, Decide, Act Faster When you strip away the technology jargon, what 5G and IoT actually deliver is the ability to sense, decide, and act faster. That’s a process story. The BA’s job is to identify which processes benefit most from that speed and visibility: Where are manual decisions slowing things down that could be automated or accelerated? Where can data remove guesswork or delay from a process step? Where can predictive analysis change when an action is taken — from reactive to preventative? These are the intersections where BA work lives: business process, technology capability, and customer value. That’s where BAs are most effective — and most needed. What This Means for BA Skills Data Literacy Is Now Core, Not Optional You don’t need to be a data scientist. But you do need to understand data flows, sources, latency, value, APIs, and where data is generated within a process. Benjamin has worked on data projects for two years and considers data literacy a foundational BA skill — not a specialisation. Process Modelling Must Evolve Traditional process models mapped human activities. Modern process models need to include digital actors too: sensors, bots, APIs, and events. A practical example from Benjamin: does that user need to fill in a form with their address, or does the mobile phone already know it? That’s an IoT-informed process decision — and it belongs in your process model. BAs Sit Between IT, Operations, and Strategy In a connected world, BAs need to connect business outcomes to network and data capabilities. That means collaborating with IT architects, operations leaders, and strategists — and representing the business perspective in conversations that can quickly become too technical. The skill is translation: turning connectivity into capability, sensor data into business decisions. Think Like a Value Designer Benjamin introduces the concept of “value engineering” — treating every connected device as an opportunity to measure and improve something, and every data stream as a potential fuel for a new service, a better customer experience, or a cost-saving initiative. The best BAs won’t just capture requirements in a connected world. They’ll translate connectivity into capability — turning streams of sensor data into smart decisions and better business outcomes. Three Questions to Start Using This Week Benjamin closes with three questions every BA should be asking right now, in any sector: What data do we already have that we’re not using to make better decisions? What data could we collect — or what’s coming — that we’re currently blind to? How can we turn that data into