Today, the finance function, among others, is eager to advance from trusted score-keeper to a strategic partner. To ensure finance can provide information to affect data driven decisions from quantitative analysis and predictions they must first develop a culture for data driven decision making. Attend this webcast to establish a solid foundation in the 4 components of culture in implementing analytics in your organization: Mindset, Systems, People, and Process.
The webcast looks at the current ways Dashboards are used and how these can lead to false positive and false negative indicators. We then discuss how best to use Dashboards to avoid these dangers and gain insights.
Finance often overlooks the value that can be gained from using non-financial data to influence decisions. For example, data, such as, customer satisfaction, unemployment, salesman tenure, and so on, can be correlated to explain changes in demand, reveal lead indicators of sales, or why modifications to compensation are needed. This brief webcast looks at examples of the insights from analytics on non-financial data to help business proactively adjust behavior to increase business performance.
Finance has a critical role to assure revenue retention and revenue growth. To do such, more sales needs to flow into the top of the “revenue bucket” (in the form of new bookings) and less revenue to leak out the bottom of the bucket (in the form of customer churn). This brief webcast will give examples of how you can incorporate analytics to gain insights that assure the flow of sales and stem the leakage of revenue.
All analysis starts with a hypothesis of something we are trying to find. But how can I prove my hypothesis? What data do I need? What data do I have? Is my data adequate? This brief webcasts covers the technique of “systematic thinking” to answer these questions.
90% of Finance groups say they want to “transform” from the trusted-score keeper to strategic partner to have a “seat at the table.” This brief webcast discusses what that means to evolve from hind-sight driven spreadsheet reporting to a forward-looking predictive powerhouse.
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