Gone are the days of relying on hunches, gut feelings, or even best practices in making business decisions. Why settle for a good guess when the right answer is literally at your fingertips?
As Microsoft Power BI experts, we help you connect all data across your organization, pinpoint the most relevant questions to ask, deliver ongoing insights, and empower fast action. We uncover the full story your data has to tell – not just the “what,” but the “why” – so you can make confident decisions that drive profit and solve problems.
No time-consuming warehousing project needed. Get insights in just days.
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For a global mining consulting firm.
Gathering and extracting data, calculating insights, and generating reports was a largely manual process, resulting in inefficiencies, inaccuracy, and hitting capacity ceiling. The client wanted to use machine learning to provide accurate and transparent reporting to aid operators, owners, and investors in strategic decision-making.
Information drawn from 1.5M data points, over 3,800 net-asset-value mine models, 100% global output coverage. Users can accurately estimate global cost and supply with transparent and robust cost curves.
For a European private health insurer with 4M customers.
The company needed a way to easily identify and flag fraudulent billing claims in order to reduce costs and better serve customers. Their goal was a detection system to analyze historical data, benchmark it against sector and country averages, place doctors within tiered risk pools, flag fraudulent claims, and generate warning letters.
30% productivity increase; 20% reduction in claims; $3M saved in under a year.
For an enterprise retail company
Stock management inefficiencies leading to unhappy customers, inability to see cross-sell opportunities, and lack of product overview – all resulting in missed sales targets.
Within 3 weeks, stock levels corrected, product insights gained, store sales goals back on track, profit increased.
For an international banking client
The client wanted to analyze public and internal data sources in order to develop insight into the competition, understand and resolve gaps in offerings, and determine new customer profiles.
The organization discovered what was and wasn't working for the competition, which provided them with clear direction on new products to offer and which specific customer groups to market to.