Redefine Your Operational Planning – to Drive Value Directly to Your Bottom Line
It has become increasingly difficult for companies to gain timely access to the data they need to make daily decisions. Without the flexibility to model and view the business, it’s no wonder why those charged with business operations feel they have very little insight into the information they need.
This is further impacted by intricate and convoluted business models coupled with the current mantra for “customer-centricity”, driving complexity in compensation planning models. In many cases companies have shied away from tackling the problem head-on, preferring to repair other aspects of the sales process which are less sensitive and less likely to disrupt sales performance.
But as a result, sales costs are rising disproportionately to revenues. In addition, an over-reliance on spreadsheets and a variety of unintegrated solutions is contributing to a CFO blind spot, exposing finance leaders to reduced control and unacceptable levels of financial and reputational risk.
Compensation planning is a highly complex and idiosyncratic area characterised by high volumes, the need for high levels of business user participation and specialised requirements. It requires flexible model building supported by in-memory capability that is capable of re-computing high volume, multi-dimensional models on-demand.
New generation technologies which are adaptable, accessible and scalable, and which allow large data sets to be recalculated on the ‘fly,’ allow CFOs to overcome the compensation planning blind spot, giving them visibility into forecast commission earnings and the confidence that sales force behaviour is in
GigaOm Research’s recent paper, Instinct Meets Evidence: Using Operational Data to Drive Planning, highlights key findings about effective sales, financial, and operational planning and execution. The article explains:
- Why putting the right data into the hands of all those who need it can provide a positive change to the efficiency of business planning operations
- How automated, data-driven planning tools will empower those on the front lines of the business with on-demand data to provide effective business planning
- Why planning is no longer in the realm of the business executive, and
- Offer actionable steps to adopt data-driven and automated planning to get the value you seek
Anaplan has seen demand for the planning and modelling platform soar to unprecedented levels within the insurance sector. Four primary business challenges for finance leaders in this sector are stimulating this demand: cost reduction, regulatory pressure, data explosion, and digital strategy.
These business challenges, true for most industries, translate into critical requirements for financial planning, including:
- Cost analysis to gain insight to cost overruns and optimize capital allocation
- Flexibility to keep up with the changes in the regulatory framework
- Scalability and speed to manage the exponential growth of data
- Agility and collaboration to leverage the digital transformation of the industry
Connect solutions across your business
Anaplan accelerates the speed and precision so you can orchestrate your business performance and course correct—one solution at a time, across an entire department or across your company.
Mint Jutras details what sets Anaplan apart from the competition.
“Unlike most plans, developed at an aggregate summary level, Anaplan’s patented technology supports a level of granular detail that lets you connect all the dots naturally. And because visibility and transparency are built in, you can easily adjust the plan as you monitor performance. Instead of letting your plan lie dormant on the shelf, only to be dusted off periodically (if ever), it becomes a living plan.