自动化、连接和可伸缩性使ServiceNow得以增长

通过anplan将数据整合从10小时缩短到10分钟,使ServiceNow的财务团队能够理解并改善性能驱动因素

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To meet ambitious growth goals, ServiceNow constantly seeks ways to automate and scale business processes. Purchase order reconciliation in marketing required 10 hours of data consolidation weekly before work could begin. Using Anaplan, they reduced the task to 10 minutes. Automation with Anaplan eliminated the risk of data-entry errors and freed up time for financial analysts to dig into data, understand the business drivers, and devise strategies to support efficiency and growth.\r\n"}}" id="text-44d918a328" class="cmp-text">
为了实现雄心勃勃的增长目标,ServiceNow不断寻求自动化和扩展业务流程的方法。市场部的采购订单对账需要每周10小时的数据整合,然后才能开始工作。使用Anaplan,他们将任务缩短到10分钟。ananplan的自动化消除了数据输入错误的风险,并为财务分析师腾出了时间来挖掘数据,了解业务驱动因素,并设计支持效率和增长的策略。

借助Anaplan, ServiceNow通过自动化和标准化的力量实现了规模增长。
Sean Dahlin,财务解决方案架构师亚搏彩票app官方网站

98%

每周数据整合节省时间,为财务分析腾出时间

成千上万的人

由于自动化,每月处理的采购订单




ServiceNow has set an ambitious goal to grow its revenue from $5.5 billion to $15+ billion over five years. The digital workflow company’s dramatic growth will require more than simply increasing sales; it will mean transforming how business gets done, notes Strategic Finance Director Sandy Swanson. “It’s about getting into that new world where we can be more advanced as a financial organization,” she explains. “We need to be able to change in order to scale and grow as a company.”

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Daily struggles to connect the dots

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Routine tasks that consume time but add little strategic value – such as processing purchase orders – can be a roadblock to transformation. That was the situation faced by the finance team that supports ServiceNow’s marketing organization, which generates 60% of the company’s POs. “It would take weeks of time for them to take thousands and thousands of POs and try to connect the dots of what was in accrual, how much has been paid against it, and what our forecast should be,” Swanson recalls.

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Part of the challenge was that the data required to process the POs resided in multiple systems. Combining that data manually took hours of valuable time and introduced the risk of mistakes. “As their manager, I saw the struggles that they had every single day,” Swanson says of her team. “And I knew that Anaplan could fix that for them.”

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Automation enables in-depth analysis

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Finance Solutions Architect Sean Dahlin was tasked with automating the manual data-consolidation process. “I essentially built a process that took a pipeline from our data warehouse to Anaplan, business logic encoded,” he recalls. “It made a 10-hour process of consolidating this data each week into a 10-minute process.”

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The automated process eliminates the risk of data-entry errors and frees finance personnel to explore how the numbers can be improved. “They now have the ability to understand the drivers of what’s going on in the business and how they can influence it going forward,” Dahlin says.

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Seeing the bigger picture

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“With Anaplan, ServiceNow achieves growth at scale through the power of automation and standardization,” Dahlin explains. “It allows disparate business units to come together and holistically create a path and a plan for the company to grow.”

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Purchase order processing is just one example of how ServiceNow is transforming its business using Anaplan. A model for program spend, which will give leadership visibility into the cost of strategic initiatives and enable ServiceNow to build program spend into both long-range and annual operating plans, is a high priority. Other groups in the company are modeling and planning sales territories and quotas; forecasting and reporting headcount needs; and much more. Hwa Tsao, Vice President of Strategic Finance and Head of FP&A, has seen dramatic improvements in the forecast cycle. “We can run monthly cadences and scenarios now,” he says. “We can run ‘what-ifs’ at a corporate level with Anaplan, and we have more confidence in the fidelity of the calculations. With our old tool, we couldn’t do any of that.“

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“What we’re trying to accomplish with Anaplan is really Connected Planning,” Swanson explains, noting that artificial intelligence and machine learning are now at their disposal with the Anaplan platform. “We want to be able to do all of our forecasting and planning in one tool.” In this new paradigm, the finance team at ServiceNow is elevated to a critical role in making the company’s growth goals a reality.

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ServiceNow设定了一个雄心勃勃的目标,要在五年内将收入从55亿美元增长到150多亿美元。数字工作流公司的迅猛增长需要的不仅仅是增加销售额;战略财务总监桑迪•斯旺森指出,这将意味着改变业务的运作方式。她解释说:“这是为了进入一个新的世界,在那里我们作为一个金融机构可以更先进。”“我们需要能够做出改变,以扩大公司规模并实现增长。”

每天都在努力把点滴连接起来

那些消耗时间但几乎没有战略价值的例行任务——比如处理采购订单——可能会成为转型的障碍。这就是支持ServiceNow营销组织的财务团队所面临的情况,该公司60%的订单都是由他们产生的。斯旺森回忆道:“他们需要花费数周的时间来处理成千上万的订单,并试图将应计收益、已支付金额以及我们的预测联系起来。”

部分挑战在于处理POs所需的数据驻留在多个系统中。手动组合这些数据需要花费数小时的宝贵时间,并引入了错误的风险。斯旺森在谈到她的团队时说:“作为他们的经理,我看到他们每天都在挣扎。“我知道anplan可以帮他们解决这个问题。”

自动化实现深入分析

财务解决方案架构亚搏彩票app官方网站师Sean Dahlin的任务是自动化手动数据整合过程。他回忆道:“我基本上建立了一个流程,从我们的数据仓库到Anaplan,用业务逻辑进行编码。”“它把每周10个小时的数据整合成10分钟的过程。”

自动化流程消除了数据输入错误的风险,并使财务人员可以自由地探索如何改进数字。达林说:“他们现在有能力了解业务发展的驱动力,以及他们如何影响业务的发展。”

放眼全局

Dahlin解释道:“借助Anaplan, ServiceNow通过自动化和标准化的力量实现了规模增长。“它可以让不同的业务部门走到一起,整体上为公司的发展创造一条道路和计划。”

购买订单处理只是ServiceNow如何使用Anaplan转变其业务的一个例子。计划支出的模型是一个高优先级,它将使领导层能够看到战略计划的成本,并使ServiceNow能够将计划支出构建到长期和年度运营计划中。公司的其他小组正在建模和规划销售区域和配额;预测和报告人员需求;还有更多。战略财务副总裁兼FP&A主管Hwa Tsao看到了预测周期的显著改善。他说:“我们现在可以进行每月的节奏和场景测试。”“我们可以利用Anaplan在公司层面进行‘假设’,而且我们对计算的保真度更有信心。用我们的旧工具,我们做不到这些。”

斯旺森解释说:“我们试图通过Anaplan实现真正的连接规划。”他指出,人工智能和机器学习现在可以在Anaplan平台上使用。“我们希望能够在一个工具中完成所有的预测和规划。”在这种新模式下,ServiceNow的财务团队在实现公司增长目标方面发挥了关键作用。


Sandy Swanson, Director, Strategic Finance: ServiceNow is a cloud software company, and we are serving in support of the enterprise. ServiceNow does have very ambitious goals — very high growth company — so being in strategic finance, it's really about getting into that new world where we can be more advanced as a financial organization. And we need to be able to change in order to scale and grow as a company.

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The marketing organization has 60% of all of the POs opened in our company. It would take weeks of time for them to take thousands and thousands of POs and try to figure out, and connect the dots of what was in accrual, how much has been paid against it, and what our forecast should be.

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Sean Dahlin, Finance Solutions Architect: It was taking the team upwards of 10 hours to consolidate various different source datas from our ERP as well as our in-house tool.

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Sandy: Tons of manual work, hours and hours spent doing the same thing every single month. And it was open for errors because you're doing it manually. As their manager, I saw the struggles that they had every single day and knew that Anaplan could fix that for them.

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Sean: I essentially built a process which took a pipeline from our data warehouse to Anaplan, business logic encoded. It made a 10-hour process of consolidating this data a week into a 10-minute process.

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Sandy: They put that together for us and we saved a ton of time. So it was a huge, huge win.

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Sean: They now have the ability … to understand the drivers of what's going on in the business and how they can influence it going forward.

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Sandy: So at ServiceNow, what we're trying to accomplish with Anaplan is really Connected Planning. We want to be able to do all of our forecasting and planning in one tool. We want to get to a place we're using machine learning and AI to really help us get to a future state. And so Anaplan is the tool that we felt would really get us there.

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Sean: As we plan to grow to 10 billion, 15 billion and beyond as a company in revenue, Anaplan achieves growth at scale through the power of automation and standardization. It allows disparate business units to come together and holistically create a path and a plan for the company to grow into.

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战略财务总监桑迪·斯旺森:ServiceNow是一家云软件公司,我们为企业提供支持服务。ServiceNow确实有非常雄心勃勃的目标——非常高增长的公司——所以从事战略财务,真的是为了进入一个新世界,在那里我们作为一个金融组织可以更先进。我们需要能够做出改变,以扩大规模并成长为一家公司。

我们公司60%的销售点都在营销部门。对他们来说,要花上几周的时间来处理成千上万的订单,并试图计算出,并将应计金额,已支付金额,以及我们的预测应该是什么。

Sean Dahlin,财务解决方案架构师亚搏彩票app官方网站:团队花了10个小时以上的时间来整合来自ERP和内部工具的各种不同的源数据。

桑迪:大量的体力劳动,每个月都要花很多时间做同样的事情。它很容易出错因为你是手动操作的。作为他们的经理,我看到他们每天都在挣扎,我知道anplan可以帮他们解决这个问题。

肖恩:我基本上建立了一个流程,从我们的数据仓库到Anaplan,进行业务逻辑编码。它将每周10小时的数据整合成10分钟的过程。

桑迪:他们帮我们整理好了,我们节省了很多时间。所以这是一场巨大的胜利。

肖恩:他们现在有能力了解业务发展的驱动力,以及如何影响业务发展。

Sandy:所以在ServiceNow,我们试图通过Anaplan实现真正的连接规划。我们希望能够在一个工具中完成所有的预测和计划。我们希望通过机器学习和人工智能来帮助我们达到未来的状态。所以我们认为Anaplan是一个能让我们实现目标的工具。

Sean:作为一家收入超过100亿美元、150亿美元的公司,我们计划通过自动化和标准化的力量实现规模增长。它允许不同的业务部门走到一起,整体上为公司的发展创造一条道路和计划。


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