WE HELP YOUR BUSINESS RUN SMARTER
We’re committed to solving your most pressing and complex challenges and driving results. Our Secret? We incorporate our innovative work and experience in mathematics, statistics and machine learning to add real value in the information you already have.
Our end-to-end process turns your data into usable intelligence:
Our Team in a Nutshell
First Analytics is a tight-knit group of agile problem solvers and solution crafters. We are business people, mathematicians, quants and data scientists and we partner with organizations to surface insights through analytics and solve unique and complex business problems. We have the analytical competencies, skills and experience to take you where you want to go. From demand forecasting and price optimization to systems performance, risk mitigation and more, we have the power to apply advanced analytics and machine learning to any situation and, in turn, improve how your business is run.
Become an analytically run business. Find new value in an old area. Capture a new opportunity. We’ll show you how.
Explore what makes us different.
WE MEET YOU WHERE YOU ARE
Whether or not you already have data analytics efforts and personnel in place, we can help. We will adapt to your current structure or can help build one from the ground up.
WE DELIVER SOLUTIONS YOU CAN USE
We look for right-fit analytics opportunities that are easy to use and understand, with immediate business benefit. Turn insight into action.
WE ARE UNIVERSALLY SUITABLE
From one-time analysis and stand-alone projects to creating multi-year analytics programs and building end-to-end applications, we’ve got you covered.
Real Success Stories
A client for whom we had implemented a predictive safety analytics dashboard came to us with an interesting research proposition...
The senior general counsel of a company with tens of thousands of employees who sometimes work in hazardous conditions...
A large animal health company wanted to create more rational discount structures for their B2B customers...
A client for whom we had implemented a predictive safety analytics dashboard came to us with an interesting research proposition...
This company has a very capable data science team which looks for ways to bring machine learning into business processes...
Railroads can be severely impacted by interruptions to the flow of trains on thier network...
A large national construction company was experiencing a loss of tens of millions of dollars of profit...
A discrete manufacturer produces a technology product which has narrow measurement tolerances...
The company operates an organization of field service technicians who make repair and...
In the earliest days of the COVID-19 pandemic our clients and other companies needed...
A large global manufacturer desired to implement a cost benchmarking system to understand...
An employer of tens of thousands of employees maintains a hotline for employees to anonymously...
An employer of tens of thousands of employees maintains a hotline for employees to anonymously...
A company in recent years had experienced a wide variation in productivity and were alarmed about...
A global pharmaceutical company came to us with a unique space optimization challenge. The company had developed and launched a new product line of pre-filled syringes, promising to improve safety and control...
An operator of about 1700 gas stations needed to set fuel sales volume and profit targets at the corporate level...
A consumer packaged goods company had invested heavily in building a so-called demand signal...
Weather plays a factor in many of the subjects our case studies. Although the weather is often...
This case is an amalgamation of several projects we have undertaking to incorporate social media...
Two companies were looking to identify developing trends in safety incidents with their employees...
A company which for years had relied on marketing mix models to attribute sales volume to marketing..
A business-to-business company with many high volume, high-quantity orders from customers..
A producer of animal feed medications and vaccinations wanted to understand how livestock....
A railroad transports crude oil from refineries to many oil customers. They need to understand demand...
The company needed to predict when, over the next three months, certain components would trigger...
A transportation service company provides maintenance services to very large fleets. They needed...
A consumer goods company spent several years and millions of dollars building a demand signal...
After seeing the success of our project at another railroad, this company asked us to do...
Four consumer product companies we have worked with have recognized the value of linking...
Several of our CPG clients have similar challenges with demand forecasting. How to produce accurate...
The sales executives of this consumer packaged goods company relies on sales and promotion data...
An international animal health company wanted to build an improved decision tool for beef producers looking...
A company that provides products and services to the animal health industry was looking to help meat...
For its key operations, the company relies on workers who require extensive training which takes the course...
A mining company relies on high-payload-capacity trucks to haul extracted material for extraction of ore and...
This retailer was dependent on large enterprise software to manage pricing...
A consumer goods company redesigned a portion of their supply network. For certain sales outlets, a distinct distribution...
The client augments their own sales data with multiple third party sources to get a comprehensive view...
The client relies heavily on promotions for many of their products, and future planned...
An operator of a national chain of fast food restaurants desired to improve profits through price...
A growing company that provides daily grocery delivery services through online...
This client provides analytical services to national direct marketing companies. The services include...
A public relations services and measurement company desired to show how their data...
A transportation company maintains a database of accidents. Along with data about each incident, textual narratives...
Vehicle-train collisions at railroad crossings is a significant problem in North America...
A transportation company spends over a billion dollars a year on fuel. Even a 1% savings in fuel consumption...
A utility desired to establish an “integrated customer data and analytics” platform...
Several of our clients have sizable, capable data science teams. But with the rise...
A retailer’s quarterly financial forecasting process would take 28 people, 160 hours to...
A consumer goods company wanted to determine the opportunities and challenges...
A medical device company has maintenance contracts for thousands of their instruments...
A semiconductor manufacturer began to foresee opportunities in the exploding potential applications of the so-called internet-of-things...
The client licensed new software for forecasting and wanted to realize the gains immediately. But between constraints with the company’s IT department...
This client had a very capable data science team but productivity was hampered by each analyst having a desktop workstation versus a unified consistent...
A food company experienced manufacturing issues with one particular product, where the product was...
A consumer goods company struggled, in some of their categories, to maintain desired case fill rates to customers....
A global consumer products company wanted to understand the impact of public relations events such as...
A manufacturer had invested in forecasting software and staff time with the expectation of realizing substantial...
A popular online retailer needed to understand and project demand for nearly 30 million SKUs over multiple websites. We implemented a...
This company operates equipment in motion at high speed. Certain components develop defects or damage that could cause...
An automotive company’s legacy parts forecasting system suffered from age, scalability issues, and expensive licensing fees to the vendor. During a short planning cycle at the end of each month...
The company processes large amounts of documents and other data. The processed...
A leading consumer packed goods company relied on statistical models to forecast demand of their product. While baseline statistical forecasts were generally...
The nation’s largest railroad came to us with a challenge. After seeing initial declines in their reportable employee injury and safety incident rates, stagnation set in. The railroad had...