Featured | Company InFocus

The Clean Water Executive Using Data to Identify Market Trends

Written by Natalie Nyugen | Nov 20, 2024 3:41:04 PM

 

On a crisp fall morning in Mahomet, Illinois, Kerry Gifford rolled up his sleeves and prepared to install a water filtration system. 

 

As a field service technician, he’d become familiar with the intricacies of water treatment, from understanding pipe layouts to fine-tuning filtration mechanisms. 

 

But Kerry knew his journey wouldn’t stop there. 

 

As he worked, the hum of passing cars and the rush of water through pipes reminded him of something greater—a future he was determined to build.

 

His hands-on experience in the field sparked a deeper curiosity. 

 

How could data improve the efficiency of water treatment systems? 

 

How could analytics reveal trends that would benefit both customers and the company? 

 

Motivated to answer these questions, Kerry boldly chose to enroll in online courses to pursue a Bachelor’s Degree in Computer Science from Millikin University. Balancing the demands of work with the rigors of school wasn’t easy, but Kerry’s commitment never wavered. 

 

The long nights and early mornings paid off when he graduated in 2014.

 

That degree opened doors. In 2016, he was promoted to Senior Analyst. This role allowed him to apply his analytical skills to drive business success. The technician who once worked in basements and crawlspaces now optimized sales and operational strategies from the corporate office. 

 

But Kerry Gifford always remembered where he started. His story is one of grit, growth, and a passion for using data to make a real-world impact.

 

A Perspective on Predictive Analytics

 

Many executives rely on data to validate their existing beliefs. But Kerry believes that data should do more. “It should challenge our assumptions,” he says. He is not a fan of playing it safe. Instead, he uses predictive analytics to highlight untapped opportunities and uncover hidden risks.

 

Kerry sees the limitations of traditional forecasting models. Relying on past performance alone leads to complacency, he argues. Instead, he integrates real-time data streams. This method keeps his predictions flexible and relevant. It also means embracing uncertainty—a quality many analysts avoid.

 

Tools of the Trade

 

Kerry’s toolbox is as diverse as his strategies. He frequently uses machine learning algorithms. They enable him to sift through large datasets with ease. Tools like Python and R play a major role in his daily work. However, Kerry emphasizes the human element. “Technology helps us, but intuition still matters,” he notes.

 

One tool that stands out is Tableau. Kerry uses it to create interactive visualizations. “Data needs to be accessible,” he says. Visual dashboards help non-technical teams make sense of complex information. Kerry’s focus on clarity has transformed boardroom presentations. Decisions once rooted in gut feeling are now data-driven.

 

Another favorite tool is SQL. Mastery of database querying helps Kerry pull precise data quickly. Speed and accuracy are non-negotiable in his role. His ability to extract and analyze relevant information has saved his company time and resources.

 

Techniques for Forecasting Market Shifts

 

So how does Kerry predict future trends in the clean water sector? It starts with pattern recognition.

 

He analyzes years of customer data to identify recurring themes. Seasonality, for instance, affects water usage. Understanding these cycles allows the company to anticipate demand fluctuations. But Kerry doesn’t stop there.

 

He layers in external factors. These include economic indicators, climate data, and even social trends. “You need to view the market as an ecosystem,” he explains. One surprising insight? 

 

Social media chatter can predict public sentiment on water conservation. Kerry monitors these signals to get ahead of regulatory changes.

 

Another key technique is scenario planning. Instead of making a single forecast, Kerry develops multiple outcomes. This way, the company can prepare for a range of possibilities. It’s a strategy borrowed from financial risk management. Applying it to market analysis? That’s the unique twist Kerry brings.

 

Real-World Success Stories

 

Kerry’s approach has led to tangible wins. One notable example involved a product launch. The company was developing a new water filtration system. Early data suggested a lukewarm market response. But Kerry’s analysis painted a different picture. He identified a growing demand for portable, eco-friendly systems.

 

Rather than focusing on urban markets, he suggested targeting rural areas. 

 

His data showed a higher need for affordable clean water solutions in those regions. The campaign was a massive success. Sales outperformed initial projections by 40%. 

 

Kerry’s data-driven strategy turned what seemed like a risky venture into a profitable one.

 

Another win came during a supply chain crisis. Disruptions threatened to delay product delivery by weeks. Kerry’s team analyzed warehouse and transportation data. By rerouting shipments and optimizing logistics, they minimized the delay to just three days. “Data doesn’t just predict problems. It helps you solve them,” he says.

 

Balancing Intuition with Data

 

Despite his analytical mindset, Kerry values intuition. “Numbers are powerful, but they aren’t everything,” he says. Experience plays a role in decision-making. His approach combines hard data with gut feeling. 

 

For example, he once advised pausing an aggressive marketing campaign. His data showed mixed results, but his instincts sensed backlash brewing. He was right. The pause gave the company time to adjust, saving face and reputation.

 

Kerry’s balanced perspective makes him stand out. While many analysts rely solely on algorithms, he knows the importance of context. It’s a lesson learned from years in the field. And it’s one he believes more companies should embrace.

 

Looking Ahead

 

What’s next for Kerry Gifford? He sees big changes on the horizon. Artificial Intelligence (AI) will transform data analysis, but it won’t replace human experts. “AI will do the heavy lifting, but people will still be needed for strategic decisions,” he explains. Like Kerry's current approach, the future combines technology with human insight.



He also predicts more personalized data solutions, especially in the clean water sector. This means creating tailored solutions for specific communities and using more detailed predictive models. Companies embracing these changes will thrive, while those not may fall behind. Kerry shares these insights at trade conferences in Mahomet, Illinois, helping teams and executives prepare for the future.

 

Conclusion

 

Kerry Gifford is more than just a data analyst. He’s a forward-thinking strategist who uses data to drive meaningful change. His contrarian opinions and unique techniques have set new standards in the clean water industry. Kerry continues to make a lasting impact by challenging assumptions and embracing uncertainty.

 

In a world where data often overwhelms, his work reminds us that Numbers tell a story, but it’s up to us to listen. And Kerry Gifford is a master storyteller, using data to predict—and shape—the future.