As business intelligence (BI) systems make more information available, the challenge is identifying the most relevant information. Traditional BI solutions take large amounts of data and place it in well formatted reports and views. But to better manage data overload, information workers need filters with business rules that highlight exceptional performance metrics that require immediate attention. Find out why.
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Based in London, this company is a major financial institution. As such, it must comply with the Basel II Capital Accord, a set of regulations governing data consolidation and risk management. To comply, it constructed a new data warehouse, but badly needed a single view of all data, as well as the ability to analyze risk data relating to millions of customers. Learn how a business intelligence (BI) solution helped.
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The company is a financial services group with operations in banking, investment management and insurance. To maintain the profitability of its credit card business, the company maintains vast amounts of customer information. However, its Excelbased tools lack functionality. Learn how a business intelligence (BI) solution can help the company increase its customer base and derive greater profits from existing customers.
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Baltika Breweries was on the rise when it faced data warehousing challenges after merging with three other Russian breweries in 2006. Learn how implementing a new business intelligence (BI) infrastructure helped the company improve collaboration for its logistics department across the country, as well as successfully track key performance indicators (KPIs), which streamlined the entire company's productivity.
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The company is the leading producer and distributor of roast and ground coffee, in Romania. After entering the Romanian market in 1995, the company has already captured a market share of almost 50 percent. However, en route to this enviable position there were significant challenges to be overcome throughout its sales and marketing organization. Find out how a new business intelligence (BI) system helped.
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Cascades Tissue Group—a division of the Quebec-based recycled paper and packaging company, Cascades—was struggling with business intelligence (BI)software that was neither flexible nor easy to use. Sales reports, for example, were sent by e-mail to managers. Learn how a new BI system helped Cascades reduce inventory levels, produce custom reports more easily and even improve efficiency and profitability in certain areas.
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