A new consumer brand currently undergoing Series B financing has risen to the forefront of the industry thanks to its strong product categories and online growth capabilities. Ahead of the upcoming National Day golden sales period, the vice president of sales submitted a regional promotion plan that is expected to drive sales growth of more than 20%. The CEO was ready to approve the plan, but since the previous quarter’s financial statements were not yet complete and the profitability of each region was still unclear, he ultimately decided to ‘wait until the data is clear.’
Two weeks later, competitors launched a similar strategy, aggressively capturing the untapped market in third-tier and below cities. During the post-mortem, the CEO regretted, ‘I didn’t make the wrong judgment; the data just came too late.’
In high-growth companies, CEOs often need to make frequent strategic decisions in the face of uncertainty. However, traditional ‘report-based thinking’ and ‘static financial feedback mechanisms’ struggle to support real-time adjustments in the rapidly changing market. This ‘time lag’ is becoming an invisible killer of growth.
1.The true picture of CEOs’ ‘growth anxiety’:
This anxiety stems from the fact that while CEOs prioritise speed, they must also confront the realities of ‘data lag’ and ‘information fragmentation.’
① Fragmented data across multiple business lines, making real-time integration difficult
In many growing companies, organisational structures develop in a matrix format, with management divided by product, region, or business unit (BU), each with independent sales, procurement, channel, and operational data systems. However, these systems lack unified standards and data-sharing mechanisms, meaning that even if a CEO wants to see an ‘overall company profit view,’ they often have to manually consolidate data across multiple departments and manually reconcile figures, resulting in lengthy processes and delayed outcomes.
② BU leaders provide conflicting information, making it difficult for CEOs to make unified decisions
At strategic meetings, BU leaders often report performance from their own perspectives. Marketing leaders emphasise increased visibility, while the finance department points out a decline in overall profits; product teams highlight rapid growth in a particular category, while operational data shows that the return rate for that category remains high. This information fragmentation leaves CEOs feeling like they are ‘blind men feeling an elephant,’ lacking a unified ‘operational reality map.’
③ Slow feedback on investment outcomes, preventing timely adjustments
Rapidly expanding companies often require frequent resource investments (e.g., marketing budgets, channel development, technology R&D), but most companies only receive financial feedback at month-end or quarter-end. This makes ‘trial-and-error costs’ prohibitively high and may even result in missed adjustment opportunities, wasting valuable growth windows.
2.Core Issue Analysis:
Why do companies rely on traditional reports? Why is this a problem?
The traditional financial management system originated in the industrial era, emphasising the accurate reflection of ‘results’ rather than the dynamic control of ‘processes.’ The design logic of most ERP system financial modules remains stuck in the process of ‘periodic settlement → report generation → distribution and reporting.’
However, in the digital age, business operations have evolved from ‘monthly cycles’ to ‘daily decision-making’ or even ‘real-time optimisation,’ yet enterprise management systems have not yet adapted to this new rhythm. This has led to the dilemma where CEOs ‘want to make decisions but lack real-time data.’
Why does the combination of ‘data silos + financial lag’ lead to strategic delays?
① Data silos: This refers to the lack of integration between business, financial, supply chain, CRM, and other systems, leading to inconsistent metrics, asynchronous data updates, and the CEO being unable to access a ‘single source of truth’ on a single platform.
② Financial lag: Traditional financial systems often rely on manual verification and Excel integration, resulting in delayed report generation that reflects the ‘past’ rather than the “present” or ‘trends.’
This structural lag leads to strategic hesitation, blind investments, and growth without a solid foundation.
3.Introducing SAP Cloud ERP: Building a ‘real-time operational perspective’
Building a real-time operational perspective is not merely about purchasing a ‘faster system,’ but requires a comprehensive restructuring of the organisation’s data structure, decision-making processes, and performance metrics.
Among various solutions, an increasing number of growing enterprises are accelerating the achievement of this goal by adopting intelligent cloud-based enterprise management systems like SAP Cloud ERP. As one of the world’s leading enterprise management software solutions, SAP Cloud ERP helps businesses unify business and financial logic, achieve real-time integration across systems, and leverage robust predictive and analytical capabilities.
If lacking professional digital capabilities, businesses can leverage the consulting and implementation services provided by experienced SAP implementation partners to form a complete solution loop from business process re-engineering, system deployment to performance linkage.
The implementation steps are as follows:
Step 1: Define the core operational metrics system from a holistic perspective
① From the CEO’s perspective, redefine which metrics are critical operational-level metrics (e.g., unit product gross margin, regional ROI, customer lifetime value).
② Distinguish between ‘reporting metrics’ and ‘decision-making metrics’ to ensure that the system outputs data used to determine direction and allocate resources.
Step 2: Integrate business and financial systems to achieve unified accounting
① Integrate business elements such as orders, costs, expenses, promotions, and channel rebates with financial logic to achieve end-to-end tracking and unified accounting.
② Example: A sales order can automatically calculate gross profit, channel costs, delivery fees, and net profit within the system, rather than requiring manual post-processing.
③ In an SAP Cloud ERP environment, such processes can be easily implemented using built-in modules and business process modelling, without the need to switch between multiple systems.
Step 3: Deploy real-time data dashboards to build a ‘digital cockpit’
① Customise real-time data dashboards based on roles (CEO/BU head/CFO), including profit maps, cost structures, regional profit and loss, and trend forecasts.
② CEOs can monitor business operations in real time on their mobile phones or computers, eliminating the need to wait for reports.
③ Using the SAP Fiori interface, companies can quickly build cockpits tailored to their specific needs, significantly improving data visualisation efficiency.
Step 4: Introduce an intelligent prediction engine to support forward-looking decision-making
① Apply data models and AI algorithms, combining historical performance with real-time business data, to automatically predict revenue, costs, cash flow, and profitability for the next 7 to 30 days.
② CEOs can use these predictions to quickly determine: Should additional investments be made? Which regions require performance optimisation? When should money-losing businesses be scaled back?
③ By leveraging SAP’s built-in predictive analytics capabilities and integration with SAP Analytics Cloud, businesses can gain higher-dimensional data insights and simulation results.
4.Benefits for CEOs:
① Real-time overview of the big picture, with a clear strategic view:
CEOs no longer rely on end-of-month reports, but can view the ‘real-time health status’ of the business at any time—this means more proactive strategic control and more timely opportunities for adjustment.
Through the data flow integrated with SAP Cloud ERP and business systems, CEOs can view the profit status, operational efficiency, and risk signals of each region and business line in a single view.
② Flexible decision-making and precise resource allocation:
Resource allocation is no longer based on intuition but on actual data—such as which customer segments are most profitable, which regions offer the fastest returns, and which product categories are suitable for expansion.
③ Early warning of profitability and building a ‘growth moat’:
Through AI and real-time data models, CEOs can detect profit risks and take preventive measures even when business performance ‘seems fine.’ This ‘agile sensing + rapid adjustment’ capability is key for high-growth companies to avoid being ‘short-lived.’
With the support of experienced SAP implementation partners providing process re-engineering, implementation training, and customised services, the establishment of a real-time perspective can be faster, more stable, and better aligned with the company’s development stage.
5.A Call to Action for Growing Enterprises:
Today, the success or failure of growing enterprises often hinges not on whether they ‘do the right things,’ but on whether they ‘do them fast enough.’
A CEO with a real-time operational perspective is like driving a race car that can see the entire map—able to avoid pits, accelerate, and choose the right path. Meanwhile, CEOs still waiting for reports can only react passively, dare not experiment, and miss opportunities.
The strategic rhythm is in your hands, starting with gaining a real-time operational perspective.
If you are in the midst of a transition from chaos to precision, it may be time to consider SAP Cloud ERP—and a reliable SAP ERP implementation partner—as your ‘second growth engine.’
The next turning point may be just around the corner. Are you ready?
Acloudear is an SAP Platinum Partner, winner of the SAP Pinnacle Awards 2020, finalist for the SAP Pinnacle Awards 2021, a GROW with SAP certified partner, and a member of the United VARs global SAP top-tier partner alliance, specialising in SAP public cloud ERP solutions. Driven by the dual engines of ‘AI + globalised services,’ we have created ‘cloud-native + scenario-based’ digital engines for over 300 enterprises across eight industries, including Qingdao Huadi and Naiyou Bio, providing one-stop cloud solutions from business process reengineering to AI innovation applications. We have numerous successful SAP cloud service cases in industries such as automotive parts, medical devices, high-tech, e-commerce, equipment manufacturing, discrete manufacturing, and engineering services. As one of China’s first SAP cloud-native service providers, we redefine enterprise digital DNA using SAP best practices and an ‘1+X’ innovation matrix, empowering businesses to quickly unlock the core value of SAP public cloud. We have been repeatedly selected as SAP’s Best Cloud Partner.
This article "How CEOs of Growth-Oriented Companies Can Use SAP Cloud ERP to Enhance Real-Time Decision-Making" by AcloudEAR. We focus on business applications such as cloud ERP.
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