We believe that greater analytics drive greater outcomes.
In our vision, complete analytics will play an ever-increasing role in helping businesses be more accurate and effective, overcome their greatest challenges, and compete more effectively. We have seen the power and potential of advanced analytics firsthand, and know exactly how to help companies turn vast amounts of raw, unsifted data into rich and tangible intelligence they can use. To what end? To anticipate risk and drive safety; to save dollars and lives; to optimize capacity, inventory and performance; and to enable change.
From demand forecasting and price setting to systems performance, risk mitigation and more, we have the power to apply advanced analytics and machine learning to any situation and, in turn, radically transform how businesses are run.
Real Success Stories
The Opportunity
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...
An operator of a national chain of fast food restaurants desired to improve profits through price...
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 about 1700 gas stations needed to set fuel sales volume and profit targets at the corporate level...
The company processes large amounts of documents and other data. The processed...
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...
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...
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...