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As a result, “Days in AR” was reduced by 30% in two months, and million worth of claims was recovered.Our client, an online retail firm, had amassed a large amount of customer activity and transaction data on their e Commerce platform. They needed a way to organize and analyze that data, so they could better understand the impact of their marketing activities. The Solution: With our affordable and comprehensive BI toolkit, we segmented their buyers based on a variety of factors, refined a target list of customers to whom they should approach with email offers, and determined the email perfect frequency.The Opportunity: Their operations could be streamlined drastically if only the data from their multiple systems could be aggregated and one set of reports could be derived from that aggregate data͘.
Which ones sound similar to what you might be going through right now?
Take a look at these stats on the use of business intelligence: And yet, there are business owners who still ask us if BI is worth the investment.
Their studies depended on collecting clinical information from their internal lab information system, as well as from external sites.
The problem was that the process was negatively impacting the quality of the data and productivity.
Here are 37 Big Data case studies where companies see big results.
If you could invest in a solution that would help you to run your company more efficiently, make better decisions, and understand your customers better, would you make the investment? ) Business intelligence (BI) is exactly the kind of solution that can make these things happen for you.
As a result, customer retention was solidified, if not increased, and customer service costs were reduced.
Our client, a disease diagnostics company, was in its early phase of aggressive growth.
Due to a better organized target-setting process and refined sales strategies backed by data, the reps were not only meeting but surpassing their targets.
Our client’s Clinical Trials department was faced with a laborious data management process.