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Customer Stories

See how we help customers across multiple industries overcome their challenges with data and analytics

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Fraud Detection and Compliance

How can compliance investigators quickly sift through millions of transactions to focus on potentially fraudulent activities?
Compliance personnel and investigators often wade through millions of records looking for needles in a giant haystack. Since it’s impractical to review every journal entry, vendor application and travel expense, companies tend to create reports that rely on simple rules, such as expenses that exceed a certain amount.

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Financial Reporting for a Private Equity Firm

How can we provide private equity investors with deeper insights across their entire portfolio? In the fast-moving world of private equity, investors often face the challenge of how to quickly assess performance by investment, by fund or across an entire portfolio. Oftentimes, investors end up relying on dozens of individual reporting solutions that are inconsistent and present limited insights.

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Fortune 500 Consumer Goods P&L 

How can a company go beyond the P&L and uncover the “why” insights?
When our client approached Axis, they were creating P&Ls manually each month.
Not only did financial operations managers spend much of their time creating statements, but the team had little time to do any deeper trend analysis to find the real drivers of profitability. The manual process also called into question the reliability of the data.
 
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Driving Profitable Sales for a Fortune 500 Retail Company

How can we empower field managers with actionable store sales information?
Like many companies, our client relied on a legacy sales reporting system that generated reams of performance numbers but required field leaders to spend valuable time manipulating data to find insights that were truly actionable.
 
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Supply Chain Integration for Fortune 500 Manufacturer

How can a manufacturer make smarter decisions and get better visibility into its supply chain? Our client, a well-known parts distributor, needed an integrated, singular view of inventory across the enterprise so it could make informed supply chain decisions. Yet each legacy system had its own formats, schemas, KPIs and calculations, presenting various challenges.
 
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Pricing Optimization for a Specialty Retailer

How can a company measure the impact of price changes on the sales of all product lines? Our client conducted an experiment to analyze the impact of reducing the price of a product line on the sales of that product line. However, sales of individual items often have complex relationships: the sale of one item can directly (or indirectly) lead to the sale of another.
 
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Driver Safety Scorecards Reduce Accident Claims by 30%

How can we use analytics to identify the highest-risk drivers, improve their safety, and reduce accident claims?
USIC - the “call before you dig” people - sends technicians to the field to prevent damage to underground utilities. With thousands of  technicians driving to conduct more than 70 million “locates” annually, it is inevitable that some drivers operate less safely than they should.
 
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Data & Analytics Strategy for Large Healthcare Organization

With a clear mission and vision to enable its people and gain value from its data, this west coast health care provider was desperate to create a strategy to give them focus around the right combination of tools, the best processes and education to manifest the outcomes they wanted to achieve.

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Predicting Customer Churn
with 86% Accuracy

How can we use advanced analytics to forecast which customers are likely to unsubscribe to a software as a service product? The cost associated with replacing a churned customer is much higher than retaining an existing customer. Between system setup, integration, and training, there are a lot of resources used up front which results in a loss, or at best a marginal gain, if a customer churns quickly.

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Enterprise Data Literacy

While this organization had an impressive catalog of analytics capabilities and initiatives, it faced challenges when trying to scale education and enable its workforce to become data literate. It was clear that a one-size-fits-all approach was not appropriate. How could this organization address its data literacy needs in a scalable way relevant to all of its employees?

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HARMAN Analytics

Getting teams to accept and adopt new data and analytics practices, processes, and technologies in order to achieve company goals was the real challenge facing this company. Driving alignment across business units and functional roles, including knowledge workers and others was a crucial factor.

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Ball Corporation

Having grown significantly, Ball faced legacy tool bloat causing unnecessary complexity. Coupled with a need for greater standardization and process focus, projects and initiatives were taking too long to deliver value back to the organization.

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