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"The SaaS model really impressed us. We didn't have to install new servers and train IT. And the implementation was absolutely turnkey."
- Jeff Chalmers, VP Finance, Geeknet
"Adaptive Planning is a mission critical application and the business impact is huge."
- Bas Brukx, Vice President, Financial Planning and Analysis, Vocus
"Adaptive Planning allowed us to significantly improve the quality and depth of our information, and dramatically improved our decision making capabilities."
-George DiFlavis, CFO, Valley of the Sun YMCA
"Adaptive Planning offered a significant improvement over Excel -- without incurring large capital costs."
- Jennifer Meyers, VP Finance, Westerra Credit Union
"Adaptive Planning allows me to manage the business, monitor the bottom line, and focus on strategy and analysis instead of data gathering."
- Ethan Carlson, VP Finance, Hayes Management Consulting
Revenue planning plays a key role in most companies’ budgeting, forecasting, and reporting. The ways that different companies plan revenue can vary widely. But what’s common to many revenue planning models is the need for detail by dimensions such as product and customer, and for driver-based planning, using some variation of units x price = revenue.
Within that framework, though, revenue planning characteristics can be particular to a company’s industry. For example, manufacturing companies often plan production and sales unit volumes, matching supply and demand, automatically driving integrated costs and revenue. Nonprofit organizations may plan across funds, programs, and locations. Their revenue may be uneven as a result of membership or pledge drives, or other fundraising events. Retail companies may plan by store and location, modeling revenue associated with new store ramp-up. Software companies need to plan revenue over the life of contracts, resulting in revenue recognition and deferred revenue planning needs. Healthcare revenue planning often needs to be associated with multiple dimensions such as type of patient or type of service offered, as well as other variables such as length of patient stay, or patient insurance type. Energy and utility companies also need to utilize driver-based planning, with drivers such as kilowatt hours, gallons, cubic feet, and tons, as well as various rates, usage, and pricing variables.
And across all industries, revenue planning is often done by the sales team, who may not have much training in using financial planning tools, and who probably have no IT or programming skills.
Integrating actual sales data from a CRM or other enterprise system is also a common need in revenue planning. Many revenue plans begin with the integration of detailed sales data — units and pricing, sliced by various dimensions.
Spreadsheet-based planning is unable to handle these requirements. What’s needed is a purpose-built planning application, intuitive and easy to use, even for non-finance staff, with a centralized database and automated data integration capabilities, plus driver-based modeling capabilities, and flexible reporting and analysis tools. What’s needed is Adaptive Planning.
Adaptive Planning offers tremendous functionality and multiple choices of planning approaches in the area of revenue planning.
In addition, Adaptive Planning offers a Sales Planning & Analysis Solution, which leverages the Adaptive Planning Connectors for integration with CRM applications, and the powerful Adaptive Planning Multiple Instance functionality, allowing automatic consolidation of sales pipeline data with financial planning data.