The FP&A Trends Webinar: Mastering Analytical Transformation with FP&A Trends Maturity Model
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The FP&A Trends Webinar: Mastering Analytical Transformation with FP&A Trends Maturity Model
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By Amrish Shah, CFO at Metabolic
In this article, we will explore why storytelling is and has always been, an essential skill for FP&A and why it can be complicated to execute in practice.
Crafting a story is a creative task. Financial Planning and Analysis (FP&A) has to work on these skills to build up their confidence as they take a step away from the comfort zone of doing the analysis.
From the beginning of time, humans have been driven to action by stories. Today, with the explosion of data, analysis, and visualisation tools, the challenge is not in developing the “picture” but in translating the numbers into a narrative. More importantly, a narrative that will help decision-makers within an organisation take considered action toward desired objectives. In other words, the missing piece is often the story.
FP&A exists to support effective decision-making and sound business planning, essentially to ensure resources are allocated effectively. In order to do this, FP&A work with data and information from various sources and pull together analysis and reports that drive the business to take action.
However, this is not simple. For a story to be told successfully, there need to be two sides:
FP&A work in the domain of the Information Value Chain. The below table summarises the Information Value Chain and the responsibility areas of FP&A within the chain. For the purpose of this article, FP&A would also cover business control.
Although analysis plays a major role in FP&A, it is only part of the job. How often have you sat through mind-numbing presentations or read reports filled with analysis only to leave with questions like: “So what?”, and "Now what?” or “Did we agree on anything?”
Dashboards are no longer able to solve this issue. Data visualisation basically takes the same raw material, the data, and presents it in powerful, graphical, and visual ways that can create better insights. Yet, as Business Intelligence grows, it is likely that businesses have lost track of how many dashboards they have and how effectively they are being used.
So, what is going wrong? If we look at the above image, we will see that the chain does not mention storytelling. Besides, it is also important to remember that there are different audience types with different needs. It, therefore, appears that the “Information Value Chain” is missing some important elements. A more effective representation would look like the below:
Figure 2: Two additional elements in Information Value Chain
The first critical step is the problem definition. While it is not covered in this article, it is perhaps the most important stage to do well. At this point, the audience and the story type are being defined. FP&A might need to start by spending some quality time with its audience to better understand its needs.
To turn insights into decisions, FP&A needs to implement an appropriate story design.
The key point of a story lies in its message. Without a message, the audience will not know what is expected from them.
The analysis is rarely the message. Presenting analysis is not what the audience needs because no matter how it is presented, it rarely motivates human activity. And, after all, human activity is what drives performance. If the analysis does not support the story, it needs to be removed.
There are two basic types of story that are relevant in an FP&A context:
The audience engages with the story in two ways:
We can thus represent this in the following way:
In a time-constrained situation, there may not be an opportunity to explore the richness of the whole story. An outline of the story, the key takeaway, cannot be neglected.
Elements of a story can be misleading if presented in isolation. A relevant context is required and can be provided in various ways. For example, the inclusion of relevant comparators or trends, explanations using analogies, or description of potential implications and interpretations.
Traditionally, the presentation of analysis is followed by relevant insights and perhaps some messages and takeaways. This is not effective. It is better to invert the process. First, present the takeaway, then the message that supports it, and finally, the analysis that supports the message.
The audience is made up of individual human beings. How they feel about the story will depend not only on the message but also on their end emotional state after the discussion. Messages may be positive, negative, or neutral. However, it is good practice to end with a positive message to induce a positive emotional state in the audience.
The story will be overshadowed if the supporting analysis is not simple enough, not powerful enough or does not engage the audience. The improvements in visualisation practices should be utilised to the fullest. For example, considerations should be made on the type of visual, the colours, any annotations, positioning, and the use of relative sizes.
If sufficient time is not set aside to create the story, then it will not happen. Therefore, managing expectations, especially under tight deadlines, is critical. Working in an agile manner by creating iterations and testing them can be a sensible approach. Being ruthless during the editing process will challenge the conventional FP&A mindset of more is better.
The latest explosion in visualisation tools can greatly help stories become much more powerful than before, with traditional data tools. This is especially true where stories involve a lot of data analysis. However, given the creative nature of storytelling, sometimes the best tool is a pencil and a blank piece of paper to sketch out the story.
This article has illustrated why storytelling remains essential for FP&A while providing the key considerations required for FP&A practitioners to make full effective use of the storytelling tool. Although the above list is not exhaustive, it can be a good framework for those who would like to improve this skill.
This article was first published on the SAP blog.
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