Story Homes

故事的房屋通过通过Anaplan平台连接金融业务来推动业务增长。

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对于英国房地产开发人员的故事房屋,生产三年的现金流预测需要筛选来自数十个构建站点的数据不一致的数据。结果,数据通常是建立的,预测很难更新。通过将所有站点数据纳入Anaplan的中心,一致的格式,该公司具有准确的区域和国家销售预测,已将长期预测从一年延长到15年,并且具有更高的准确性,协作和生产率。

[Anaplan] helped to distil away the noise. We’re getting live updates at levels of detail that just weren’t possible before.

John Story,土地估值经理


挑战

Before Anaplan, producing a three-year cash flow forecast required finance leaders to sift painstakingly through non-standardized models across thirty different build sites. Story Homes couldn’t deliver data analytics to match the fast rate of business change, and existing servers couldn’t handle vast quantities of data. Although the resulting forecast produced the necessary information, it couldn’t be updated without significant effort. The finance team decided that a change was needed.

解决方案

Story Homes’ finance team needed an immediate way to put an end to overly diverse financial modeling processes by bringing the company’s data into one central place. The team also needed a way to improve upon Excel’s limited ability to handle scale, multiple versions, and basic collaboration. The goal was to free critical processes from being trapped in siloed spreadsheets. Within three months, Story Homes implemented the Anaplan platform and began building ready-to-go models.

结果

Using the Anaplan platform, Story Homes now has a single, real-time data source, leading to more accurate regional and national sales predictions. This has enabled the finance team to ask better questions and extended its ability to plan for the future. Long-range forecasts have been extended from one to fifteen years, and Anaplan’s cloud-based process has connected finance and operational teams, resulting in higher levels of accuracy, collaboration, and productivity.

Why Anaplan

Story Homes选择了Anaplan有效地处理大量数据的能力。在看到Anaplan立即运行了10 GB模型的报告后,该模型以前给了Story Homes以前的麻烦后,财务团队知道Anaplan是满足他们需求的正确解决方案。Anaplan还实现了团队减少数据重复并确保每个人都从同一参考点工作的目标。团队可以看到,在Anaplan中,这一切都是相关的。