When a large healthcare system was paying more than three hundred dollars per day in maintenance and licensing, they turned to Axis Group to migrate their on-prem data warehouse to the Cloud to help cut costs and still maintain the integrity of their systems.
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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.
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.
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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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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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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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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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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