The B2B Podcast Index
Index
All categories
MarketingSalesSaaSFinanceHROpsLeadershipCustomer SuccessAI & DataProductStartups & FoundersRevOpsEngineering & DevTools
MethodologySubmit
Best of:MarketingSalesSaaSFinanceHROpsLeadershipCustomer SuccessAI & DataProductStartups & FoundersRevOpsEngineering & DevTools
An independent project byFame
SearchBest episodesGuestsInsightsMethodologySubmit a podcast
Index/Ops/The Better Business Analyst Podcast
The Better Business Analyst Podcast artwork

BA Bites - From 5G to Smart Cities: Finding Business Opportunities in Connected Data and Processes

The Better Business Analyst Podcast · 2025-11-05 · 10 min

0:00--:--

Key moments - from our scoring

Substance score

36 / 100

Five dimensions, 20 points each

Insight Density12 / 20
Originality10 / 20
Guest Caliber0 / 20
Specificity & Evidence8 / 20
Conversational Craft6 / 20

Benjamin Walsh reframes 5G and IoT not as consumer connectivity buzzwords but as fundamental enablers of process transformation and data-driven opportunity. Rather than faster downloads, the real business case lies in ultra-low latency networks combined with billions of IoT sensors and edge computing that process data locally - creating live operational data streams across utilities, smart cities, healthcare, and other industries. The episode walks through concrete examples: smart meters in utilities enable predictive maintenance and dynamic pricing; traffic sensors and GPS-enabled waste bins in smart cities optimize truck routes and reduce emissions; wearables in healthcare shift from reactive to preventative care. Walsh argues the business analyst's role shifts from documenting existing processes to mapping where connectivity creates new decision triggers, automation opportunities, and value. He emphasizes three critical skill evolutions: data literacy (understanding data flow, sources, latency, and APIs), evolved process modeling (incorporating sensors, bots, APIs, and events alongside human activities), and strategic collaboration between IT architects, operations, and business strategy. The episode positions BAs as value designers who must ask: what data do we have, what can we collect, and how do we turn it into insights or automation?

Key takeaways

  • →5G, IoT, and edge computing enable real-time data streams from billions of sensors, creating opportunities for predictive maintenance, dynamic pricing, and automation across utilities, cities, and healthcare.
  • →Business analysts must evolve from mapping human workflows to modeling entire connected ecosystems including sensors, bots, APIs, and event triggers as first-class process elements.
  • →Data literacy, process modeling skills, and cross-functional collaboration with IT architects are now core competencies for BAs working in connected environments.
  • →Every sensor and data point represents a potential decision trigger or automation opportunity; BAs should ask where manual decisions, guesswork, or delay can be eliminated by data visibility.
  • →The strategic question for organizations is not 'should we adopt 5G/IoT?' but 'what existing data are we not using, what can we collect, and how do we turn it into value?'

Guests

Benjamin Walsh

Topics in this episode

Predictive maintenanceDynamic pricing5G networksData literacyprocess automationSmart metersEdge computingIoT (Internet of Things)Smart cities6G networks

Questions this episode answers

What is the actual business opportunity in 5G and IoT beyond faster mobile speeds?

5G and IoT create ultra-low latency networks with billions of connected sensors and devices that stream live operational data, enabling predictive maintenance, dynamic pricing, process automation, and real-time decision-making across utilities, smart cities, and healthcare - turning sensor data into cost savings and better customer experiences.

How should business analysts approach process modeling in connected environments?

BAs must evolve beyond mapping human activities to include digital actors like sensors, bots, APIs, and event triggers as first-class process elements, and should introduce dedicated data and network layers to process diagrams to show where connectivity fuels decisions.

What data literacy skills do business analysts need for 5G and IoT projects?

BAs don't need to be data scientists, but must understand data flow, sources, latency, value, where data is generated, APIs, and process dependencies - essentially thinking through how real-time data changes decisions that were previously manual or delayed.

What are three examples of 5G/IoT business opportunities Walsh discusses?

Smart meters in utilities enable predictive maintenance and dynamic pricing; traffic and waste sensors in smart cities optimize routes and reduce emissions; wearables in healthcare enable preventative care by shifting from reactive to proactive monitoring.

How should organizations prioritize 5G and IoT investments?

Walsh recommends asking three strategic questions: What data do we already have and not use? What can we collect going forward? How can we turn that data into insights, automation, or measurable value - rather than adopting technology for its own sake.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

12 / 20

The episode contains a solid mid-level density of useful ideas for BAs - such as mapping sensor data to process decisions, the distinction between sensing/deciding/acting faster, and the need to model both human and digital activities. However, substantial portions consist of rehashed explanations (5G = low latency, IoT = sensors), and the specific actionable insights are somewhat thin. The host threads ideas together competently but doesn't drill deeply into how a BA would actually execute on these opportunities.

Every sensor or device is part of a process. Every data point is a potential decision maker or trigger.
the best bas won't just capture requirements, they'll think transitioning connectivity into capability, turning streams of sensor data into smart decisions and better business outcomes.

Originality

10 / 20

The core framing - that 5G/IoT create new BA opportunities - is sound but not particularly fresh. The three use cases (utilities, smart cities, healthcare) are standard reference examples in IoT discourse. The main original contribution is positioning the BA role at the intersection of connectivity and process improvement, but this feels like a natural extension of existing BA thinking rather than a counterintuitive or first-principles challenge.

Most people hear 5G and think faster downloads or better, uh, mobile coverage. But if you look at it through the lens of a business analyst, you start to see a, uh, web of data and connected processes that can transform industries
Sense, decide and act faster. That's a process story.

Guest Caliber

0 / 20

This is a solo host episode with no guest interview. The speaker (Benjamin Walsh) presents as a business analyst educator but provides no evidence of large-scale operational experience implementing these systems. There is no practitioner brought on to validate ideas or share real battlefield examples.

I've done two years of data, uh, data project.
I have a ring that measures everything, which is interesting

Specificity & Evidence

8 / 20

The episode references three industry sectors and generic use cases (smart meters, waste bin GPS, traffic sensors) but rarely names specific companies, implementations, or quantified business outcomes. The smart meter example mentions cost displacement (removing meter readers) but doesn't cite actual ROI, implementation timelines, or real case studies. Most claims remain at the illustrative level rather than backed by concrete data.

smart meters, you've got probably got one in your house that measures the electricity usage you've got. And IoT sensors consistently stream usage and fault data. The opportunity, massive predictive maintenance, dynamic pricing and customer transparency.
lower costs, reduced emissions

Conversational Craft

6 / 20

As a solo monologue rather than an interview, there is no back-and-forth or adversarial questioning. The host poses rhetorical questions to the audience ("What data do we already have?") rather than engaging a guest in genuine dialogue. There are no moments of productive disagreement, sharp follow-ups, or tension that would test claims. The format is inherently limited for conversational depth.

Okay, there's some questions for you.
If you're working in ba IT strategy or digital delivery, now's the time to ask these three questions.

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Most-used words

data33process10sensors9better8connected8smart7opportunity7processes6value6connectivity5analysis5technology4opportunities4faster4start4customer4

Episode notes

In this episode, Benjamen Walsh breaks down how advanced connectivity - from 5G and 6G networks to IoT and edge computing - is reshaping the world of business analysis. Discover where the biggest opportunities lie for BAs and strategic leaders: in connected data, process optimisation, and the new skills that will define digital transformation in the decade ahead.

Full transcript

10 min

Transcribed and scored by The B2B Podcast Index.

Speaker A: We are diving into one of the biggest shifts happening in IT right now. The rise of advanced connectivity. I'm talking about 5G, 6G, IoT edge computing and smart city technology. But not as buzzwords, but as a massive enabler of process change and data driven opportunity. The Better Business Analysis Institute presents the Better Business Analysis Podcast with Kendra Walsh. Welcome back everyone to the Better Business Analysis podcast with your host, Benjamin Walsh. And today we are going to be talking about the topic about 5G, about smart cities, finding business opportunities and connected data and processes. Now here's the thing. Most people hear 5G and think faster downloads or better, uh, mobile coverage. But if you look at it through the lens of a business analyst, you start to see a, uh, web of data and connected processes that can transform industries, operations and customer experiences. So today we are going to unpack one, what advanced connectivity really means for businesses. Two, how business analysts can identify opportunities in connected data flows and automation. And three, the new types of analysis and skills we'll need as connectivity scales. Let's start with the connected opportunity. 5G and 6G networks are creating ultra low latency connections, meaning basically that data can move between devices, sensors and systems in near real time. So if you combine that with aot, which are sensors, so uh, Internet of Things is what it stands for, but they're sensors. Effectively you can buy them off AliExpress if you want to. Billions of sensors and cameras and smart devices, that's IoT. You've suddenly got live operational data everywhere. And then if you add an edge computing which processes that data locally rather than sending everything back to the cloud, and that's very important, this means faster insights, lower costs and new levels of automation. Right. It sounds a bit technical, but here's the b aliens. Every sensor or device is part of a process. Every data point is a potential decision maker or trigger. Every connected system creates an opportunity to add or lose value. So the role of the BA is to map out where this connectivity meets the business. Where does new data, uh, appear? How does it change decisions that have been made, services that are delivered, or risks that need to be mitigated. Okay, there's some questions for you. Let's dive into segment two, which is finding opportunities in that data. Uh, and the processes is really where it gets real. So we'll take two examples here, utilities and energy. So smart meters, you've got probably got one in your house that measures the electricity usage you've got. And IoT sensors consistently stream usage and fault data. The opportunity, massive predictive maintenance, dynamic pricing and customer transparency. A BA can define the data flows, map the processes, and, uh, I guess qualify the business impact by putting those in. Right. So, um, if we do this flip side, you used to have a media person who were to come around and check your meter. Well, that's gonna cost money. You know, you can get rid of that. But smart meters are gonna cost a lot of money to run. So is that a positive business case? And, and it was. And a lot of people are starting to do that. And then if you turn to local government or smart cities, which is totally an area that I'm, um, just getting more and more interested about, you've got traffic sensors, you've got waste bins like GPS on them, knowing where they are, lighting systems, they all generate operational data. Right? And so the opportunity is that there's process improvement. Fewer, ah, like I go, um, truck routes, lower costs, reduced emissions. The ba, us as bas, can connect their data to performance metrics and delivery, um, service delivery goals for making, I don't know, a city smarter or managing, um, traffic better or, uh, making sure we know when lights are out. And in health care, you dipped m into this, uh, again, I have a, I have a ring that measures everything, which is interesting, and I find it much better than the wearable watch, uh, that I've had previously. But wearables, remote monitoring and connected diagnosis, there's an opportunity there. It shifts us from reactive to preventative care, which saves a lot of money. And for the ba, it's about analyzing stakeholder needs, patient journeys, and the data that's, um, dependencies between them. You know, what data can we collect and sharing that, and obviously security and all that are really key in this as well. So when we talk about 5G or AOT, what we're really talking about is the ability to sense, decide and act faster. Okay? Sense, decide and act faster. That's a process story. And the BA's job is to identify which process benefit most from that speed and that visibility. So you could think, where are, uh, manual decisions still slowing things down? Where can data remove guesswork or delay? Where can predictive analysis or automation improve outcomes? These are prime BA opportunities and they sit right at the intersect between business process, technology, capability and customer value, which is where bas love to play. So what does this mean for bas and leaders? Right? What does this mean for us? Firstly, data literacy becomes a core skill for bas. I've talked about it often. I've done two years of data, uh, data project. You don't have to be a data scientist, but you need to understand data flow, sources, latency value, uh, process steps, where the Data is generated, APIs. Secondly, process modeling needs to evolve. So we do process modeling, but you don't just map human activities, but the digital ones too now. So including sensors and bots and APIs and events, you need to incorporate that. We used to not put technology which was the solution in. Now if that, um, that used to just be a data store or a place that you had your engine. Now if you've got sensors in, that might be a data source. So I'll give you a great example that I've just hit. Does that user need to fill in a form about their address or does the mobile phone already know their address? Okay, that's ait effectively. Thirdly is, uh, collaboration. So bas can now sit between it, uh, architects, operations and strategy. You'll need to connect those business outcomes to the actual network and data capabilities underneath them. So if you're thinking about a big process, diagram all the different levels having. Introducing a level of data was something we started doing, ah, a few years ago. Should definitely have a data, um, area there. And now you might even have network and sensors. Think like a value designer and we talk about value engineering. It's something that I want the word to take off. Every connected device is an opportunity to measure and improve something. And every data stream can fuel a new service, a better customer experience or a cost saving initiative if we analyze it properly and use those technologies and those data sources. So as we move further into this connected world, the best bas won't just capture requirements, they'll think transitioning connectivity into capability, turning streams of sensor data into smart decisions and better business outcomes. If you're working in ba IT strategy or digital delivery, now's the time to ask these three questions. What data do we already have? What can we collect? Or what's coming that we're not using yet? And how can we turn that data into insights, automation or value? Because that's where the next wave of business innovation will come from. Not just from the tech itself, but what we do with it. So start looking at this technology. Start uh, understanding how it can affect uh, your processes today and I'll speak to you next week. SA.

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

  • How a Steel Mill Cut Unplanned Downtime by 80 PercentThe Operations Podcast with Fexingo · on Predictive maintenance90 / 100
  • We Grew Too Fast and Nearly Lost Everything - With Njål Elliasson, Proptonomy & HeimbyPillow Talk Sessions · on Dynamic pricing86 / 100
  • How B2B Brands Use AI for Dynamic PricingThe Growth Operator with Fexingo · on Dynamic pricing85 / 100
  • Everybody Wants AI. Who's Paying for It?AI Proving Ground Podcast · on Edge computing85 / 100
  • From Static to Dynamic: The Evolution of Pricing Science in DistributionThe MDM Podcast · on Dynamic pricing83 / 100
  • Growth: Turn Discounts into a Profit Engine with Smarter Promotion Strategy with Dan Bond, RevLifterKeep Optimising · on Dynamic pricing82 / 100

More from The Better Business Analyst Podcast

All episodes →
  • BA Bites - “The Business wants this......”51 / 100
  • The Business Case Is Dead. Long Live the Opportunity Canvas.49 / 100
  • The Brutal Truth: How Business Analysts Should Approach a Custom ERP Implementation51 / 100
  • BA Bites - How Business Analysts Should Approach a Salesforce Implementation75 / 100
  • BA Bites - When Human-Centred Design Isn’t What It Seems: From Users to Customers and True Innovation
Explore the best B2B Ops podcasts →
All The Better Business Analyst Podcast episodes →