Are you interested in finding out more about how companies like Microsoft and GE are ensuring their organizations are operating at maximum efficiency? If so, then this program is for you! A team of experts will show you how to use metrics such as “organizational effectiveness” to determine how well your company is performing. You'll hear from top CEOs, Canadian Business Hall of Fame inductees and many more! The concept of organizational effectiveness is a bit more complicated than cut-and-dry definitions. At the most elemental level, organizational effectiveness is a concept that measures how thoroughly and efficiently a company achieves its business goals. An effective organization runs like a well-designed, well-oiled machine. Its moving parts function smoothly to produce the results the business set out to achieve, with minimal wasted resources or time." As the business world continues to evolve, so must your company. Whether you’re looking to increase revenue and reduce costs, or simply wanting to make your teams more productive and build a productive culture, organizational effectiveness is worth the hype. This course is for leaders looking to position their company for more efficient performance.
Read more ...A company can plug holes in their Data Management processes by mapping their data and identifying the most appropriate drivers for getting insight from the data. This will inevitably lead to more effective BI implementations, with business benefits like reduced time spent on reporting and increased accuracy of results. BI is a much needed business intelligence tool, however it has many deficiencies including: managing data, reporting, and analysis. BI is designed to leverage data as an assets but the prepping and cleaning of data can be time consuming and costly. A company may want to consider spending less money on Salesforce or Oracle for BI software and focus more on developing internal business intelligence (BI) processes, training personnel, conducting workshops and creating dashboards with Excel to improve productivity across the organization The roles, responsibilities and activities of a Data Management professional at all levels. This guide covers what it takes to successfully develop, manage and use data effectively in business organizations across the entire lifecycle.
Read more ...The cloud is a place where data can be stored and handled. It can be accessed from any device and does not require an active connectivity to the Internet. With the help of cloud computing, businesses and individuals can work at any time in the manner that suits them best
Read more ...Statistics is a unique branch of Mathematics which deals with the collection, calculation and interpretation of numerical data. In Statistics, tests of significance are the method used to reach a conclusion to reject or support the claims based on sample data. The statistics are well known for research based on statistical surveys. During a statistical process, we come across certain terms such as "significance", "p-value" and others. Statistical tests are used to check whether the result of a study has the desired level of significance. This is done by using a statistical test that is appropriate for your situation. For example, if you’re testing whether an abstract treatment alone works better than a different treatment (control) then you would use an independent-groups design with an independent variable and dependent variable. The key point is that it should be random assignment so neither condition can have an impact on one of the other. This could, for example, be by chance or because it was not known at the outset in advance how many people would respond well or badly. If you wanted to compare two treatments but didn't know who got each treatment beforehand so it was arbitrary who got which treatment this wouldn't fit into this model as there was no way to assign them randomly (only chance). If you had large numbers of subjects then small differences in results could mean something statistically significant had been achieved even if no patient would notice any difference between treatments as there were enough subjects doing both and only tiny differences between patients are noticed when large numbers are involved from tiny changes
Read more ...This course focuses on the importance of studying consumer behavior in an international business.
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