Quantitative and qualitative evidence. What could be better?
Our existing clients are already well aware of our capabilities. That’s why three out of four projects we’re awarded are the direct result of repeat business. But we wouldn’t expect new clients to go out on a limb. To take a flyer on Meridian without knowing us. Knowing our work. Without seeing some proof of our ability. We want you to be completely assured that Meridian is up to the task before we ever agree to do business.
We’re ready to tackle your toughest data-management problems. But before we roll up our sleeves. Before we assess the situation and begin to develop solutions. We invite you to roll up your sleeves. To dig into our history. So in advance of a meeting you can formulate your questions. Even the tough questions. We’ll provide answers that will put you at ease.
It’s our job to mitigate your risk.
So take some time with any or all of the case studies we’ve provided in the Results section. Gain an understanding of the challenges at hand and the prevailing business environments at the time of each project.
Study our solutions and the technologies we employed. Most importantly, see the results we achieved. If you don’t find everything you’re looking for, challenge us. We’ll provide all the appropriate information that’s at our disposal. After that, without sounding too cocky, there’ll be just one thing left to do. Schedule a meeting.
The simple synopsis.
The challenge? Our client uses Delivery Systems Informatics to do predictive analysis. They draw current and historical data from various internal and external locations. And they needed to build out their Medical Cost Analysis analytical data store. Plus, they needed data cubes which would support Business Intelligence reporting and dashboard tools.
Before the onset of work, the client determined the parameters for the host platform and database. Meridian then conducted an initial six-week project assessment which included authoring high-level architecture and a detailed breakdown of the necessary work.
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The simple synopsis.
One of the largest providers of personal and corporate financial services in the United States needed to leverage price elasticity knowledge and relationship information. The goal was to maximize NSF/OD fee refunds and deliver customer-level recommendations to the field through a simple user interface.
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The simple synopsis.
Although they’re one of the largest U.S. banks — operating in 21 states and Washington, D.C. — our client did not have a common customer identifier across all available information sources. The goal was to provide an extendable system that would allow for the online creation and maintenance of consumer accounts without duplication.
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The simple synopsis.
As a leading U.S. provider of banking, asset management, wealth management, and corporate and investment banking products, our client had a need to create a Standardized Mapping Approach. One that an analyst could easily use, and the business understand, when creating Source-to-Target and Conformed Values-to-Target mappings.
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The simple synopsis.
After a decade of sustained growth — largely through acquisition — this large and still growing savings and loan association needed an improved system for integrating data. They did not have a reliable system for the production of accurate, reliable, auditable data to support regulatory (SOX, GLBA and Basel II) review. And shareholder communication regarding financial stability and profitability was questionable.
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