volume

Knowledge Central Multiple

Knowledge Central
Retailers are commonly faced with the challenge of forecasting demand for items that are sold only at certain times of the year, but in high volumes. This paper suggests a compression approach for dealing with these kinds of highly seasonal forecasts using SAS software, which could produce more accurate results than forecasts based on standard time series modeling. It provides an illustrative example based on real-life data.
Data warehousing is expected to grow over the next 12 months despite the effects of the global economic crisis, IDC revealed.
Customer serving organisations have always faced a demand dilemma. This paper lays out the reasons why contact centre strategy is changing, outlining the benefits of the different solutions out there, and provide practical guidance to how to move to a hosted or virtual model.
Enterprises that seek a successful move to virtualization have a number of hurdles to overcome. Not all are obvious. This paper identifies seven key things that you must know if your business is to be successful in virtualizing your mission-critical applications.
Operational risk is an ever-present challenge of the banking industry, inhibiting performance and reducing profits as banks need to keep adequate reserves of capital to cover potential losses. But in recent years, corporate wrongdoing, high-profile fraud and major process failures have put the dangers of operational risk – and the consequences of poorly managing it – in the spotlight. This case study looks at how Woori Bank in Korea went with analytics to reduce its operational risks.
Queensland University of Technology (QUT) is a culturally diverse Australian education provider with campuses in Brisbane and southeast Queensland. In 1989, QUT decided to partner with Oracle to deliver key elements of its information technology architecture. Download this free case study to know more.

       
       
     


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