Business

Ways Manufacturers Can Make Better Use of Data

Published

6 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

How Technology Drives Value Creation in Private Equity

Published

2 weeks ago

April 29, 2026

Matthew Wiles

How technology drives value creation in private equity is now one of the most actively debated topics among institutional investors and fund managers. A decade ago, technology was largely a cost center in PE-backed companies. Today it sits at the center of margin improvement, revenue growth, and exit multiple expansion. Firms that figured this out early are generating better returns with less reliance on financial engineering.

The shift happened for a practical reason. As interest rates rose and deal multiples compressed, financial leverage stopped doing the heavy lifting. Operational improvement became the primary value creation lever. Technology accelerated what was possible within the ownership period.

How Technology Drives Value Creation in Private Equity Operations

Operational improvement through technology produces the most measurable results. PE firms apply technology tools to reduce costs, increase throughput, and improve decision-making speed inside their companies.

Digital Process Automation in PE-Backed Companies

Manual processes in back-office and production functions carry real costs. They consume labor, generate errors, and slow down the information flow that management teams depend on. Automation tools eliminate these costs without requiring headcount reductions that disrupt company culture.

The most impactful automation deployments in PE-backed operations include:

Accounts payable and receivable automation that compresses billing cycles and reduces days sales outstanding
Production scheduling software that reduces downtime and improves throughput in manufacturing environments
Inventory management systems that cut carrying costs by aligning purchasing with real-time demand signals
Quality control automation that reduces defect rates and warranty claims in product-based businesses

ZCG Consulting (“ZCGC”) works with companies across industrials, manufacturing, packaging, and consumer products to identify and implement automation programs tied to specific financial outcomes. The approach connects technology investment to measurable margin improvement rather than treating automation as a general upgrade.

Data Infrastructure as a Value Creation Tool

Many PE-backed companies arrive under new ownership with fragmented data systems. Different departments use different tools. Reporting requires manual consolidation. Leadership makes decisions with incomplete information.

Fixing that infrastructure creates immediate value. Integrated data systems give management teams real-time visibility into revenue, cost, and operational performance. That visibility accelerates decisions and surfaces problems before they become material.

James Zenni, founder and CEO of ZCG with over 30 years of capital markets experience, has consistently emphasized that information quality drives investment performance. That view shapes how ZCG approaches technology investment across the companies in its portfolio.

Technology Drives Value Creation in Private Equity Through Revenue Growth

Cost reduction gets most of the attention in PE operational improvement, but technology also drives revenue growth. The mechanisms are different, and they compound differently over a hold period.

E-Commerce and Digital Customer Acquisition

Companies that sell primarily through traditional channels often leave significant revenue on the table. Adding e-commerce capabilities or investing in digital customer acquisition expands the addressable market without proportional cost increases.

PE firms that invest in digital revenue channels generate higher growth rates during the hold period. That growth rate difference translates directly into exit multiple expansion.

Revenue growth technology applications in PE-backed companies include:

E-commerce platform buildouts that open direct-to-consumer channels alongside existing wholesale relationships
Customer relationship management systems that improve retention and increase repeat purchase rates
Digital marketing infrastructure that lowers customer acquisition costs through better targeting and attribution
Pricing optimization tools that identify margin improvement opportunities without volume loss

Technology-Enabled Customer Experience Improvements

Customer retention is cheaper than customer acquisition. Technology investments in customer experience, service speed, and product quality consistency reduce churn. Lower churn produces more predictable revenue. More predictable revenue supports higher exit valuations.

ZCG deploys Haptiq Technologies and Solutions, its 300-plus-person technology division, to support digital transformation across its companies. The platform was founded 20 years ago and manages approximately $8 billion in AUM. It brings implementation resources that most individual companies cannot afford to build internally. That capability gives ZCG’s companies faster access to technology improvements at lower execution risk.

Building Technology Capability Within PE-Backed Companies

Technology investment during the hold period creates value in two ways. It improves financial performance during ownership. It also makes the business more attractive to the next buyer.

Strategic buyers and later-stage PE funds pay premium multiples for companies with modern technology infrastructure. A business with integrated systems, clean data, and digital revenue channels commands a better price. A comparable business running on legacy platforms does not.

The ZCG Team structures technology investment as part of the initial value creation plan for each company. Priorities get set at entry based on the gap between current capability and acquirer expectations.

This pre-sale positioning approach changes how technology investment gets funded and sequenced during the hold period. Projects that improve financial performance and exit readiness simultaneously get prioritized. Projects with long payback periods that do not improve the sale narrative get deferred.

How technology drives value creation in private equity is ultimately about execution discipline. The tools matter less than the clarity of the financial objective each technology investment must achieve.