Financial professionals want to understand the causes of deviations from financial goals. This means, in addition to relevant management reports focused on mapping financial performance and risks, there is often a need for deeper analyses such as root cause and exception analyses.
Our data-driven management reports automatically retrieve data from relevant financial source systems and are updated automatically based on a pre-agreed frequency. Financial professionals can view key financial performance developments in intelligent dashboards. We create custom dashboards, not generic ones.
When it comes to deeper analysis, such as identifying the causes of deviations, we define the “why” question upfront. Root cause and exception analyses may focus on issues like incorrect discounts linked to invoicing rules, incorrect credit notes, duplicate payments, or analyses of services and/or products without invoicing. The goal is always to gain relevant insights and resolve the challenges faced by financial professionals.
Since 2010, we have been working with Tableau, the most advanced data visualization solution currently available on the market. With Tableau, we can transform data into relevant insights at lightning speed. Through 24/7 accessible view options, we share and update these insights seamlessly.
Request a DemoEvery financial package or operational system today has a dashboard. These are generic dashboards, which may be sufficient for gaining quick insights into day-to-day topics. However, they rarely address the core issues and seldom align with the concerns of financial professionals. Every financial professional and every business is unique. We translate these unique characteristics into a custom dashboard for financial professionals. These data-driven management dashboards meet several key criteria:
We enjoy working with financial professionals who share our data-driven mindset. This collaboration stems from a shared belief that focusing on relevant insights empowers financial professionals. Focus on What’s Going Well and What Needs Improvement.
When it becomes clear that performance is consistently lagging expectations or when trends deviate from recent historical patterns, it’s time to explore the underlying financial issues further. These are the root cause and exception analyses. Before beginning, we discuss the scope, timeline, and fees for these additional analyses. Findings are shared through intuitive visualizations in our Data Portal, powered by Tableau.
Recent data analysis challenges for financial professionals are:
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We begin by discussing the “why” question: which analyses are relevant, and which smart metrics provide the desired insights? We also define the update frequency for the smart metrics and the follow-up process: what actions will be taken based on the results? We listen and translate the smart metrics into the required data elements and corresponding KPI definitions. Regular meetings are held to refine the smart metrics and adjust them to new standards and expectations. If deeper root cause or exception analyses are required, we define the scope, depth, and additional costs for these analyses upfront.
Dashboard development begins with a “concept.” This includes defining the smart metrics and sharing example visualizations. Together, we determine how to present the insights in the most valuable way.
A key part of the process is identifying how the required data elements, stored in underlying source systems, can be accessed. For example, can this be done automatically via an API connection, or is a custom data extraction solution required?
Dashboards are automatically updated based on a pre-agreed frequency. Using Tableau, which operates within our Data Portal, we provide access through View licenses linked to individual users. Everyone with a View license can securely access the dashboards 24/7 via laptop or mobile device.
Data analysis is an efficient way to gain relevant insights. It becomes truly effective when exceptions from expected performance or trends are followed up on. We actively monitor, provide input, and, where necessary, initiate deeper root cause and exception analyses.