Business

Ways Manufacturers Can Make Better Use of Data

Published

5 years ago

July 24, 2020

Big data is a buzzword you hear used by ever more companies across many different industries. For manufacturing companies, using data in smart and modern ways can improve processes and procedures, encourage growth in ways that would have been impossible in the past, reduce costs and raise profits.

Data are the facts or information about every aspect of manufacturing processes. Using IoT devices to record the manufacturing process, companies can avail themselves of all sorts of data. Unfortunately, many manufacturing companies, at best, don’t understand how to gather, analyze, and use all this data that is now available to them or, at worst, choose to entirely ignore it. If your company is not currently using data to drive production and make better decisions, you are missing out on major opportunities to improve your company. Here are 3 ways manufacturers can make better use of data to improve their processes.

Set Clear Goals

Manufacturing is all about setting goals for your machinery and manpower in order to produce the greatest quantity of good quality products as efficiently and quickly as possible. How clear are your goals? Are they passive and driven only by orders or are they based on data that allows your company to work in a way that is scalable and customizable when it needs to be? Some manufacturers struggle with these questions, especially when times get tough. The ones who set the clearest, smartest goals will be the ones that prosper.

Using data and basic analytics allows you to see the whole picture and be proactive about manufacturing goals. Using machine-level data you can learn incredibly important points such as when and how often you are producing different products, how long it takes, and how much money goes into producing each item. You can also get data on tiny seemingly insignificant information that will show you the times and conditions that generate the most profitable outcomes. When you know these data points, you can work to set goals that recreate the most profitable outcomes as much as possible to maximize your manufacturing efficiency.

Data provided by IoT devices in the manufacturing process can also help companies better understand cycle time and how it improves with more data and updated procedures. Cycle time measures the span of time from when an order is placed until it gets into a customer’s hand. With solid data to help you improve cycle time, you can start making clearer goals on customer timelines which will lead to improved customer relations and feedback.

Have Well-Defined Procedures

With clearly established data-driven goals, more data is used to help companies meet and exceed those goals. Manufacturers can do this in several different ways. As more data about their processes is gained, one of the best ways to achieve goals is to speed up production. When you do that, however, more errors can occur. Using big data companies can determine methods for going faster but with fewer errors.

To accomplish this seemingly impossible task, you must collect and analyze all the data at hand. Using error-rate data you can see who and what in the process is linked to the most errors and start creating a mix of products and workers that leads to the smallest number of errors. This will save money on unusable goods and while speeding up the process of hitting goals. It can also help to create employee incentive and training programs that will lead to a faster and less error-filled process.

Another way big data analytics generated during the manufacturing process by IoT devices can help companies adapt their processes to the modern environment, is by increasing their ability for customization. In 2020, manufacturing customization is more desirable for clients than ever before and data is the key to offering more of this. To start, knowing data about all of your manufacturing processes allows you to manufacture goods in the most efficient way possible. When you have a client looking for customization, you will quickly be able to make a data-based decision on whether or not you are able to do what is requested and how it will affect your bottom line.

Track Data Comprehensively

The manufacturing process is not merely about using data drawn from the machines, people, and products you make. Some data from all around you can be mined for better outcomes. In addition to acquiring and processing data from the tangible materials around you, you can also use environmental data to create a better manufacturing process and hit your goals. In some manufacturing industries – ones that make very precise and sensitive products – this data is a “must-have”.

Using a cloud-based monitoring system is one way to maintain widespread data visibility in complex systems. For manufacturers in such fields as the aerospace industry, where parts need to be produced and stored in precise environmental conditions, being able to collect precise environmental data about things like temperature, humidity, and pressure is vital. Dickson is an example of a company that offers data loggers and management software that can be implemented in this manner.

Using these types of data loggers allows the aerospace industry to maintain optimal conditions for making the products they produce; that helps them safely deal with volatile materials. Since they produce products using all types of electronics, metals, plastics, synthetic compounds, and other sensitive materials, precise conditions must be maintained. How they maintain these conditions varies greatly between facilities of different sizes, setups, and located in different climates, which is why comprehensive data tracking is so important for each facility that creates aerospace products.

Conclusion

These are just a few of the ways manufacturers can make better use of data. Big data is the new frontier of manufacturing and the companies that use it best will see quicker, larger, and longer-lasting improvements to their processes and outcomes than companies who don’t. Integrating IoT devices into the manufacturing process is the best way to start capturing and utilizing this data today.

Business

Scaling Strategies for Bootstrapped Founders: Why Smart Startup Entrepreneurs are Ditching Traditional Agencies for Leaner Growth Machines

Published

3 days ago

September 4, 2025

Matthew Wiles

Today’s startups need to scale at top speed. Conventional methods for achieving business growth and revenue early are under fire. That’s why more and more savvy founders are abandoning the traditional marketing agency business model. They realize that the rules of the game have changed.

Leading this shift is Pablo Gerboles Parrilla, founder of Pabs Marketing. He’s a techpreneur and CEO whose unique perspective marries technological insight and marketing expertise.

For today’s founders, Gerboles believes the message is clear: cash flow and profitability don’t depend on VC funding. It’s time to ditch old-school agencies and turn to leaner, more flexible growth machines.

The age of scaling a bootstrapped startup: Why founders choose to scale without external funding or venture capital

“Startups are nothing like the established corporations traditional agencies are built to serve,” Gerboles says. “They need to be nimble and conserve their resources. The last things they need are bloated services with hidden fees and lengthy contracts. They need results, and they needed them yesterday.”

Traditional agencies position themselves as one-stop shops for marketing and growth, offering extensive teams and shiny presentations, but their campaigns come with a hefty price tag. Those structures work well for Fortune 500 companies needing big-budget omnichannel campaigns. For startups? They often translate to high retainers and little flexibility.

“If you’re a startup founder, wasting time and resources on presentations that don’t lead to actionable growth isn’t an option,” Gerboles explains. “You have to be data-driven and relentless in finding what works. Traditional agencies are just too slow and cumbersome to deliver.”

Successful bootstrapping can lead to sustainable growth: Lean growth machines for lean operations

Gerboles spent the last six years helping founders to scale their businesses quickly and sustainably. His background in technology and marketing enables these founders to break free from outdated agency models in favor of smarter alternatives. He combines lean growth machines built on systems and sophisticated AI-powered tools with the power of micro-agencies and niche contractors.

“Agility is everything,” Gerboles shares. “The best founders today aren’t looking for creativity for its own sake. They want to see scalable solutions.”

The foundation of Gerboles’s philosophy lies in automating human-driven processes through software. Whether automating lead generation and funnel tracking, optimizing campaigns for performance with AI, or streamlining day-to-day operational tasks, smart automation reduces costs and enables companies to scale faster.

Take marketing strategy, for example. Instead of handing over control to a traditional large-scale agency, modern founders can engage niche micro-agencies with expertise in specific domains like paid media, SEO, or influencer campaigns. These smaller, hyper-focused teams are far more nimble, deliver measurable ROI, and cost a fraction of the price.

“When you combine these micro-agencies with contractors and automation, you’ve bypassed a lot of unnecessary overhead,” Gerboles explains.

The importance of accountability, transparency, and results in scaling strategies for bootstrapped founders

For Gerboles, one major shortfall of traditional agencies is the lack of true accountability. “You don’t want vague creative promises or KPIs that could mean anything,” he says. “You want sharp goals and clear deliverables. Most of all, you want systems that let you track performance in real time. Nothing builds trust and drives results faster than data-driven accountability.”

The shift away from agencies is primarily driven by concerns over transparency and reliability. By leveraging smaller, specialized teams or AI-powered tools, startups can maintain a tighter grasp on their marketing and growth. When they find what works, they can iterate quickly based on live campaign data.

“Smart founders don’t have time to wait weeks for an update,” Gerboles quips. “When you build lean growth machines, you’re always connected to your performance metrics. You can pivot instantly. This model rewards consistency and strategic risk-taking.”

When Gerboles designs systems for startups, he emphasizes performance certainty. He eliminates guesswork and sticks to systems that work. It’s a philosophy that resonates with modern entrepreneurs who value clarity and efficiency above all else.

Scaling strategies for bootstrapped founders who don’t consider external funding: a blend of technology and micro-agencies

The evolution Gerboles champions is already well underway. The rise of AI, no-code platforms, and automation tools means startups can do more with less — and faster — than ever. Solutions like automated campaign optimization, predictive analytics, and content creation tools enable startups to scale their output without hiring a large team or committing to an agency’s payroll.

Meanwhile, on-demand contractors and micro-agencies provide laser-focused expertise on an as-needed basis. Whether it’s bringing in a TikTok ads expert for a short-term boost, hiring a conversion copywriter for a product launch, or testing AI-powered chatbots for lead management, lean growth machines are redefining the agility game.

“An expert contractor or a micro-agency specializing in your exact need will always be faster and better than the ‘generalist’ vibes you get from old-school agencies,” Gerboles notes. “Specialization and precision are the name of the game now.”

Founders who want to lead in the new era of business are increasingly following the path Pablo Gerboles lays out. They are choosing smarter systems, investing in the right tech stack, prioritizing accountability, and embracing speed at every level.

“Business isn’t a time to play safe,” Pablo says. “It’s about innovation and pushing edges within a clear strategy. Surround yourself with agile partners, hold processes to results, and find the tools that help you stay lean. That’s how you win in today’s game.”

Gerboles is a thoughtful entrepreneur committed to helping business leaders reinvent their approach to growth. From ideation to execution, his advice rings true: leave the bloated bureaucracy of yesterday’s agencies behind and build lean growth machines fueled by agility and results.