It's been a while, and I hoped to expand the SAP BTP Topics to various functional areas. I am delighted to return to this blog series, SAP Business Technology Platform: "Change Agent" or "Scale Agent," with edition 5 focusing on SAP BTP in Finance.
Having explained how BTP can aid technical and functional consultants in my previous blog, I want to delve deeper into the finance process and elucidate how SAP Business Technology Platform can enhance these processes.
Before we delve further into the subject, it's crucial to address the significance of functional consultants understanding the capabilities of SAP BTP. In the past, when traditional ERP was in use, there were limited options to extend capabilities in case of a process gap, such as creating a Z or Y ABAP program. Additional data required the creation of extra fields or tables. However, in today's cloud world, SAP BTP offers a multitude of possibilities. For instance, users can opt for Artificial Intelligence, Generative AI, or even Automation. Given the rapid introduction of new features in SAP BTP, it's essential for functional consultants to grasp the platform's basic capabilities.
Figure 1 illustrates the path that a functional person can follow to learn and utilize SAP BTP solutions when process gaps need to be filled. The journey begins on the left with the Functional domain, moving left to elaborate processes before identifying use-cases and then learning path leading to certifications and the other hand they can build solutions for their specific use cases with BTP Services, which can then be used to develop BTP Apps.
As I've mentioned in one of my previous blogs, it's important to familiarize both functional and technical consultants with each other's areas of expertise. Thus, this blog will also help technical consultants understand the functional aspect.
Modern finance and risk teams are adopting technology more swiftly than before, due to advancements such as artificial intelligence, automation, and extensive use of Data & Analytics, which help them meet their objectives and improve collaboration with counterparts across the business value chain.
The finance function's influence on corporate technology decisions has grown over recent years, with an increasing number of CFOs reporting greater involvement in technology choices.
SAP offers a reliable path to autonomous finance. SAP's Vision is to deliver AI-generated insights, problem-solving, decision-making, and predictive modelling with AI tools, enabling CFOs and finance teams to concentrate on high-value tasks that necessitate human intelligence, judgment, and creativity.
Automation and AI can bring significant strategic benefits to finance and risk teams, as well as the entire organization. Many companies begin by implementing basic transactional solutions like workflow automation. For more intricate processes, such as reconciling open items, automation can result in substantial time savings and reduced errors compared to manual methods. These enhancements can positively affect key corporate performance indicators (KPIs), such as lowering days sales outstanding (DSO) through automated receivables processes or expediting the financial close.
By automating routine tasks, teams can focus on resolving genuine exceptions and engaging in more strategic endeavours. For sophisticated applications, including predictive and AI-driven scenarios like planning, cash and liquidity management, and fraud detection, these systems should augment decision-making rather than supplanting human input.
Let us first examine the Finance process overview. In Figure-2, the six key areas of the Finance process are depicted, namely:
1) Financial Planning
2) Record to Report
3) Accounts Payable
4) Accounts Receivable
5) Treasury
6) Real Estate
In Figure-3 below, we delve deeper into Financial Planning and outline the various steps involved as follows:
1) Define objectives
2) Data collection
3) Develop financial models
4) Analyse variances
5) Execute and monitor plans
6) Conduct budgeting and forecasting
7) Refine plans
😎 Evaluate financial performance
In order to conduct proper planning, the Finance LOB team requires a Cloud-based analytics tool that also offers planning capabilities. This tool can align financial goals through integrated planning and predictive forecasting features. It should provide advanced modelling to create detailed financial projections based on historical data and predictive algorithms. Figure 4 below shows a representation of such a platform with key capabilities.
This solution should also support collaborative budgeting, facilitating real-time adjustments and scenario planning. The cloud-based analytics should provide real-time dashboards and reports to track financial performance and monitor deviations from the plan. It should enable deep-dives into variances using visualizations and offer collaborative features for sharing updates.
Adaptive planning capabilities permit quick adjustments in response to new information or changing conditions. The cloud-based tool should also include interactive and customizable reporting tools for detailed financial reporting, as well as capabilities to automate report generation. Users can utilize it to assess financial performance against objectives and benchmarks, and leverage insights from past analyses to continuously enhance planning and analysis processes.
You also require an efficient centralized data repository that facilitates the integration and management of collected data from various sources. This ensures data consistency and accuracy, which is crucial in defining objectives and scope.
The cloud-based analytics and planning engine guarantees data consistency and accuracy, allowing for deep-dive analysis using visualizations and drill-down capabilities. The tool can also employ artificial intelligence and machine learning to identify relevant patterns and insights.
1. Strategic Decision-Making and Real-Time Data Access: Organizations are increasingly adopting digital infrastructure to gain instant access to data, enabling precise data capture, cost analysis, and informed decision-making. This shift enhances accuracy and efficiency in strategic choices and simplifies regulatory compliance management. Leveraging Analytics & Planning platforms can streamline financial forecasting, optimize resource allocation, and drive effective planning.
2. Transformative Business Models: Businesses are evolving from traditional product-centric sales models to offering comprehensive solutions, backed by robust solution order management. These innovative business models provide customers with enhanced operational efficiency, deeper insights, reduced complexity, and integrated processes.
3. Standardized and Consolidated IT Landscape: Businesses are transitioning to cloud-based solutions to replace outdated, on-premise ERP systems. By modernizing the IT landscape, organizations can achieve reduced complexity, a unified IT environment, standardized processes, and cost savings. The modular cloud approach allows for the consolidation of disparate tools and streamlines tasks such as cash and receivables management, as well as regulatory reporting.
4. Advanced Data Analysis and Predictive Modelling: Utilizing platforms with predictive analytics capabilities allows customers to engage in sophisticated predictive planning and reporting. This predictive analytics potential can streamline and accelerate financial forecasting, enhance decision-making, boost visibility, and increase efficiency in planning processes.
5. Accessible Data for Decision Makers: Establishing a robust data foundation that consolidates various enterprise data sources into the analytics platform makes data easily accessible for decision-makers. This enhances productivity, supports data-driven decision-making, and streamlines processes. Rapidly consuming and acting on information through precise data analysis and insight generation is pivotal for strategic and tactical decision-making, particularly in financial planning. This method also ensures that intelligence is available anytime, anywhere, and on any device.
6. Integrated Systems for Process Efficiency: Implementing integrated end-to-end business processes (e.g., Order to Cash) can be achieved by seamlessly integrating SAP and non-SAP systems, enhancing operational efficiency and optimizing solutions to provide a comprehensive view. This integration fosters maximum transparency, making planning processes and cycles more efficient, and facilitates better decision-making. It enables the optimization of single-year planning within months and empowers the direct analysis and planning of the profit and loss statement.
In conclusion, the usage of SAP Business Technology Platform (BTP) into finance processes presents a transformative opportunity that functional and technical consultants alike should embrace. By leveraging BTP's capabilities—from AI and automation to advanced analytics—finance teams can significantly enhance their strategic decision-making, operational efficiency, and collaborative efforts. The platform allows for real-time data access, transformative business models, and predictive modeling, enabling organizations to stay agile and adaptive in a rapidly evolving business landscape.
As modern finance functions increasingly influence corporate technology decisions, understanding and utilizing SAP BTP becomes not just an advantage but a necessity. By consolidating and centralizing data and analytics, SAP BTP empowers finance teams to focus on high-value tasks, ultimately driving better outcomes and sustaining competitive edges.
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