Written by Takanashi — Paddy & Water Inc. / Finance & Controlling

— Advanced concepts, how to define KPIs, and representative KPI trees —

EPM/xP&A ／ Beyond Budgeting ／ KGI-KSF-KPI ／ ROIC and DuPont Tree

July 2026

This paper provides an overview of advanced concepts for elevating management (management control), then systematically explains the practical core question of “how to define KPIs.” In particular, it presents the “KPI tree,” which logically breaks down goals (KGIs) into frontline action indicators (KPIs), together with concrete examples of representative frameworks such as ROIC and DuPont decomposition. It is intended primarily for practitioners in corporate planning, FP&A, and business management.

Table of Contents

・Chapter 1　Why Advancing Management Is Necessary

・Chapter 2　Advanced Concepts in Management

・Chapter 3　How to Define KPIs — KGI, KSF, KPI

・Chapter 4　Representative KPI Trees

・Chapter 5　Cross-Industry Corporate Case Comparison (Based on Named Companies’ IR Disclosures)

・Chapter 6　Governance and Practical Pitfalls

・Chapter 7　The Frameworks and Systems That Support Advanced Management

・Chapter 8　Implementation Roadmap and Conclusion

Chapter 1　Why Advancing Management Is Necessary

1-1　What Is Management Control

Management control refers to the management cycle (PDCA) in which strategies and goals are set, translated into budgets and plans, actual results are measured and analyzed, and corrective actions are taken against variances to drive goal achievement. At its core lies the design of “what to measure” — that is, KPIs (Key Performance Indicators).

1-2　Limits of Traditional Management Control

・Rigidity of annual budgets: Once set, annual budgets cannot keep up with environmental change and become hollow partway through the period

・Bias toward after-the-fact reporting: Focus centers on “looking back” once results are finalized, rather than acting proactively

・Departmental sub-optimization and metric proliferation: KPIs proliferate department by department, obscuring their causal link to company-wide goals

・Overemphasis on financials: Attention is fixed on financial results (lagging indicators) while the frontline leading indicators that produce them go unmanaged

1-3　Direction for Advancement

Advancing management means overcoming these limitations through three elements: ① advanced management methods, ② logical KPI design (KPI trees), and ③ the data and systems that support them. Each is explained in turn in the following chapters.

Chapter 2　Advanced Concepts in Management

In recent years, new ways of thinking that go beyond finance-centric, annual-budget-centric management have spread widely. The representative concepts are organized below.

Concept	Key Point	Aim
EPM/CPM	Enterprise performance management. Integrates planning, budgeting, forecasting, consolidation, and disclosure	Integration and acceleration of financial processes
xP&A	Extended planning and analysis. Connects financial planning with each department’s operational planning	Consistent planning across the entire company
Rolling forecast	Continuously updated a few quarters ahead, rather than annually	Keeping pace with environmental change
Driver-based planning	Builds up figures such as sales from underlying drivers	Causally grounded planning and sensitivity analysis
Beyond Budgeting	Management that does not depend on fixed budgets	Eliminating rigidity and empowering the front line
OKR	Sets direction through ambitious objectives and key results	Challenging goals and company-wide alignment
BSC	Manages through four perspectives: financial, customer, internal process, and learning	Comprehensive management including non-financial factors
Data-driven/AI management	Real-time visualization, forecasting, and scenario analysis	Forward-looking, responsive decision-making

2-1　EPM/CPM and xP&A — Integrating Planning

EPM (Enterprise Performance Management) / CPM (Corporate Performance Management) is a framework that integrates and accelerates management processes such as budgeting, forecasting, consolidation, and disclosure. In recent years there has been a strong trend to extend this beyond finance and connect it to the operational plans of each department — sales, production, HR, and others — through xP&A (Extended Planning & Analysis). When financial and operational plans are linked under the same assumptions, it becomes possible to see, in one integrated view, “if the sales plan changes, how will required headcount, inventory, and profit move.”

2-2　Rolling Forecasts and Driver-Based Planning

By combining “rolling forecasts,” which continuously look several quarters ahead instead of relying on a fixed annual budget, with “driver-based planning,” which builds up performance from its constituent drivers, a company can achieve plans that keep pace with environmental change while making clear “why the numbers come out the way they do.” This is two sides of the same coin as the KPI tree discussed in Chapter 4.

2-3　Beyond Budgeting and OKR

・Beyond Budgeting: An approach that eliminates the drawbacks of fixed budgets (number-fixing, conservative targets, year-end spending sprees) and instead pursues agile management through relative targets, continuous forecasting, and empowerment of the front line

・OKR (Objectives and Key Results): Aligns the organization’s direction through ambitious objectives (O) and the key results (KR) that measure their achievement. It encourages challenge and cascades goals from the whole company down to the individual. It is used to complement KPIs

2-4　Balanced Scorecard (BSC)

The BSC is a framework that manages performance not only through financial indicators but through four perspectives: finance, customer, internal business process, and learning and growth. Its value lies in systematically handling the leading indicators — customer satisfaction, operational quality, talent development — that generate financial results (a lagging indicator). A strategy map depicts the causal links among these, and KPIs are placed within each perspective.

✱ What the advanced methods have in common is: “don’t look only at financial results (lagging indicators),” “don’t fix them annually,” and “connect them causally.” The tools that put these into concrete practice are the KPI design and KPI trees covered in the following chapters.

2-5　Layering Frameworks — Separating Health Metrics from Transformation Metrics

BSC, policy management (hoshin kanri), ROIC-based management, OKR, and Beyond Budgeting are not mutually exclusive; many companies layer them together. What matters is separating “health metrics for stable operations” from “priority metrics for driving transformation.”

・Mature businesses: Capital-efficiency management centered on ROIC and cash flow (CF) tends to be strong

・Growth businesses: OKR and BSC tend to be effective

・Companies with multiple businesses: It is practical to combine ROIC/BSC at the top level with policy management and daily management at lower levels

The JPX (Tokyo Stock Exchange) likewise calls for “management that is conscious of cost of capital and stock price,” requiring companies to analyze their current situation, formulate policy, targets, and plans, engage in dialogue with investors, and update progress annually. The starting point is for the board, CEO, and CFO to agree on the “upper-level variables that most move corporate value,” break these down into business-level and frontline drivers, and then overlay roles: health metrics = KPI, transformation metrics = OKR, and capital allocation = ROIC-related metrics.

✱ If this is left ambiguous and the same figure is used simultaneously for monitoring, stretch targets, and compensation, the metric becomes distorted. What determines the success of advanced management is not the choice of framework itself, but whether “value-creation hypothesis → KPI definition → decomposition tree → operating governance” can be designed as one consistent whole.

Chapter 3　How to Define KPIs — KGI, KSF, KPI

3-1　The Relationship Among KGI, KSF, and KPI

To define KPIs correctly, one must first understand the relationship among three concepts. These are linked by a causal chain of “goal → success factor → action indicator.”

・KGI (Key Goal Indicator): An indicator representing the ultimate goal to be achieved. Example: operating margin, sales, ROIC

・KSF (Key Success Factor): The factor that is key to achieving the KGI. Example: “improving the repeat rate,” “reducing the defect rate.” It bridges the KGI and the KPIs

・KPI (Key Performance Indicator): An indicator that can be managed day to day and measures the degree of achievement of the KSF. Example: churn rate, first-time retention rate, first-pass yield

■ The KGI → KSF → KPI Chain (Example: Subscription Business)

KGI: Annual Recurring Revenue (ARR) up 30% year on year

└ KSF①: Expand new customer acquisition → KPI: monthly new contracts / CVR (conversion rate)

└ KSF②: Curb churn → KPI: monthly churn rate / first-time retention rate

└ KSF③: Raise unit price → KPI: upsell rate / average revenue per user (ARPU)

3-2　Steps for Setting KPIs

1. Define the KGI using SMART criteria: Set the goal so that it is specific, measurable, achievable, relevant, and time-bound

2. Identify the KSFs: Narrow down the “winning formula” that determines whether the KGI is achieved, based on analysis of the business structure

3. Decompose with a KPI tree: Logically break the KGI down into its constituent elements and derive the KPI corresponding to each KSF (Chapter 4)

4. Set target values: Place well-grounded targets by working back from past performance or using benchmarks

5. Monitor and improve: Review regularly, identify conversion-rate bottlenecks between KPIs, and take action

3-3　The SMART Principle and the Conditions for Good KPIs

KPIs should be set according to the “SMART” principle (Specific, Measurable, Achievable, Relevant, Time-bound). In addition, KPIs that function well in practice must meet the following conditions.

・Include leading indicators: Manage not only the outcome (lagging indicator) but also the leading indicators that produce it (e.g., number of sales opportunities, defect rate)

・Be controllable: The indicator must be one that can be moved by the actions of those responsible. No one can be held accountable for an indicator they cannot move

・Be causally linked to the KGI: The logic that improving this KPI improves the KGI must be clear

・Keep the number small: Narrow the number down. Too many KPIs cause a loss of focus (a few per layer is a good guide)

⚠ Beware the trap of proxy indicators. Casually turning an easy-to-measure indicator into a KPI can induce behavior that deviates from the true objective (e.g., chasing visit counts while quality declines). It is important to pair KPIs with guardrail indicators (quality, satisfaction, etc.) that prevent such runaway behavior.

3-4　Practical Steps for Setting KPIs (How)

This section translates the principles above into concrete action in practice. Rather than picking indicators haphazardly, following the seven steps below allows an organization to arrive at a system of indicators with no gaps and with frontline buy-in. Each step has “what to do,” “the question to check,” and an “output.”

Step	Purpose	Main output
① Confirm strategy and objective	Articulate what you are competing to win on	Hypothesis for the winning formula
② Set the KGI	Narrow the ultimate goal to one or two indicators	SMART KGI
③ Decompose the KGI	Break it into constituent elements with a tree	KPI tree (skeleton)
④ Identify the KSFs	Narrow down to the branches that matter — the decisive points	Priority KSFs (2–3)
⑤ Select the KPIs	Choose action indicators that measure the KSFs	KPIs (leading + guardrail)
⑥ Set target values	Place well-grounded targets	Target value for each KPI
⑦ Design the operating rules	Decide ownership, frequency, and review	Operating rules for KPI management

Concrete Approach for Each Step

①　Confirm strategy and objective: First articulate “what does it mean to win in this business/organization” and “what do we want to maximize or minimize.” The question is: “Is our competitive advantage cost, differentiation, or speed?” If this is ambiguous, KPIs end up scattered and unfocused

②　Set the KGI: Narrow the ultimate goal that reflects the strategy down to one or two, and define it using SMART (specific, measurable, achievable, relevant, time-bound) criteria. The question is: “If this is achieved, can we say the strategy succeeded?” Example: raise operating margin from 8% to 12% over three years

③　Decompose the KGI (build the KPI tree): Break the KGI down MECE-wise through multiplication and addition to build a tree diagram of its constituent elements (Chapter 4). The question is: “If I add up/multiply all these elements, do they truly equal the KGI?” Confirm that the equation closes

④　Identify the KSFs: From among the branches of the tree, select two to three “decisive points” that have large room for improvement and a large impact (sensitivity) on the whole. The question is: “If this branch improves by 1%, how many % does the KGI move?” Focus rather than trying to do everything

⑤　Select the KPIs: Choose indicators that the front line can move day to day and that measure the achievement of each KSF. Prioritize leading indicators, and pair them with guardrail indicators (quality, satisfaction, etc.) that prevent runaway behavior. The question is: “Can this be moved by the actions of the person responsible, and can it be measured?”

⑥　Set target values: Place well-grounded targets for each KPI (using the four methods in the next table). The question is: “What is the basis for this number (past performance, peers, working backward, or bottom-up buildup)?” Balance stretch with realism

⑦　Design the operating rules: Tie an owner, measurement frequency, review meeting, and corrective-action process to each KPI. The question is: “Who looks at it, when, how, and what happens if it deviates?” A KPI comes alive only once its operation is decided

How to Set Target Values — Four Methods

For step ⑥, setting target values, it is important to combine the following four methods to arrive at “well-grounded numbers.”

Method	Approach	Strengths / Cautions
Baseline method	Set from past performance plus an improvement rate	Realistic / but tends toward a simple extension of the status quo
Benchmark method	Align with peer companies or industry levels	Objective / watch for gaps with your own company’s circumstances
Backcast method	Work backward from the KGI to derive the required level	Consistent with strategy / requires verification of achievability
Bottom-up buildup method	Add up the expected effect of each initiative	Well-grounded / depends on the assumption that initiatives are realized

Cascading KPIs (Company → Department → Individual)

With the company-wide KGI at the apex, the branches of the KPI tree are cascaded down into departmental, team, and individual goals. This makes visible “how each person’s actions connect to the company-wide goal.”

・Company-wide KPI: The upper levels of the KGI tree (e.g., operating margin, ROIC)

・Departmental KPI: The branches each department is responsible for (Sales = win rate, unit price; Manufacturing = yield, utilization rate; SCM = inventory turnover, fill rate)

・Individual KPI: Departmental KPIs broken down further to the level of the individual in charge. Sometimes combined with OKRs to layer on stretch goals

The Review and Improvement Cycle

・Monitoring frequency: Leading indicators as a guide should be reviewed weekly to daily; lagging (financial) indicators monthly. Frequency should vary with the nature of the indicator

・Variance analysis: Identify the branch causing a deviation from plan by working down through the KPI tree (which branch is underperforming)

・Identifying conversion-rate bottlenecks: Look at the conversion rate at each stage of the tree (e.g., lead → opportunity → win) and act on the point where flow is clogged

・Revisiting the KPIs themselves: When environmental change alters the KSFs, the KPIs should be swapped out accordingly. A KPI is not “set once and done” but must be updated as a living thing

【Example】KPI design at an industrial machinery manufacturer: ① Strategy = shift to “earning through maintenance and service” → ② KGI = raise service revenue ratio from 20% to 35% → ③ Decomposition: service revenue = installed units in operation × service contract attach rate × contract unit price → ④ KSF = “raising the service contract attach rate” (the highest-sensitivity lever) → ⑤ KPI = contract attach rate at the time of new equipment delivery (leading) / cancellation rate (guardrail) → ⑥ Target = raise the attach rate from 40% to 70% (peer benchmark + bottom-up buildup) → ⑦ The head of sales is the owner, with a monthly review. As a result, the contract attach rate improved and the service revenue ratio rose in stages.

✱ A practical tip: rather than “build the KPI perfectly the first time,” it is better to “build it, run it, and fix it.” No indicator system is 100% right from the start. The essence of living KPI management is to build the skeleton with a KPI tree, find conversion-rate bottlenecks through review, and keep updating the KSFs and KPIs.

3-5　How to Set Target Values — A Four-Layer Approach and Three-Tier Targets

KPI target values must not be decided by “sheer force of will.” In practice, accuracy improves when grounds are built up across the following four layers. This is especially true for capital-efficiency KPIs, where a target below the cost of capital (WACC) makes no sense from a management standpoint.

・① Consistency with the capital markets: If using ROIC/ROE, set the floor above the cost of capital (WACC). The JPX’s call for “management conscious of cost of capital and stock price” likewise requires companies to grasp capital profitability and update it annually

・② External benchmarking: Build a comparison group of competitors, peers, and similarly sized companies, and decide whether to aim for the median, the top quartile, or best-in-class. Emphasize “comparability” by removing differences in accounting definitions and foreign-exchange effects

・③ Statistical grounding: Use the expected average and dispersion (standard deviation) after improvement to confirm the validity of the target through confidence intervals and achievement probability (statistical process control, regression, hypothesis testing)

・④ Scenario analysis: KPIs can easily shift if demand, price, foreign exchange, cost, or regulation changes. Examine sensitivity under at least three scenarios: base, upside, and downside

Set Target Values in “Three Tiers” — Threshold / Commit / Stretch

Rather than a single target value, dividing it into three tiers — floor line, commitment, and stretch — makes it easier to use for investment decisions and compensation design.

・Threshold (minimum acceptable line): Falling below this destroys value. For capital efficiency, this means “above WACC”

・Commit (external commitment): The level promised in dialogue with investors, such as exceeding the benchmark median

・Stretch (challenge target): An ambitious level that approaches the top quartile

Calculation Example A: Setting an ROIC Target from the Cost of Capital and Benchmarks

Assumptions: next-period sales of ¥50 billion, EBIT margin of 12%, effective tax rate of 30%, invested capital of ¥42 billion, WACC of 7.0%, peer median ROIC of 9.5%, top-quartile ROIC of 12.0%.

■ Setting the Three-Tier ROIC Target

NOPAT ＝ Sales ¥50 billion × 12% × (1 − 30%) ＝ ¥4.2 billion

ROIC ＝ ¥4.2 billion ÷ invested capital ¥42 billion ＝ 10.0%

Threshold (minimum): above WACC ＝ above 7.0%

Commit (external): above the peer median ＝ 10.0%

Stretch (challenge): approaching the top quartile ＝ 11.0–12.0%

Calculation Example B: Setting a Service KPI from Statistical Dispersion

Suppose an on-time delivery improvement initiative is tested in a 12-week pilot, and after improvement the average is 96.4% with a standard deviation of 0.6 percentage points. The one-sided 95% confidence lower bound is approximately “average − 1.645 × standard deviation” ＝ 96.4% − 1.645×0.6 ≒ 95.4%.

✱ Therefore, setting the annual target at 96.0% is statistically reasonable, but committing to 97.0% would require either “reducing the dispersion” or additional improvement measures. The key is to set targets by looking not only at the average but also at the dispersion.

3-6　KPI Inventory and Definition Sheets — KPIs as Control Design

A good KPI system starts by not conflating different types of indicators. At minimum, take stock across the following four axes and balance leading indicators against outcome indicators, and financial against non-financial.

Classification axis	Categories	Examples
Timing	Leading indicator / outcome indicator	Order backlog, pipeline, utilization rate, number of quality anomalies / sales, operating profit, ROIC, churn rate
Process stage	Input / process / output / outcome	Training hours, advertising spend / first-pass rate, lead time / shipment count, contract count / profit margin, customer retention rate
Nature	Financial / non-financial	Sales, profit, cash flow / satisfaction, engagement, quality
Hierarchy	Company-wide / business / department	ROIC / business-unit operating profit / frontline KPI

The KPI Definition Sheet (Defining a Metric Is Itself Control Design)

A formula alone is not enough to define a KPI. Only when the measurement target, numerator and denominator, scope, exclusion rules, systems used, update frequency, owner, threshold, target value, and escalation conditions are all defined does a KPI hold up to operational use. It is essential that the CFO, business owner, data owner, and HR/compensation staff all work from “the same version”; if the definition and the compensation calculation formula are managed separately, operational incidents occur.

Item	Example content
KPI name / purpose	On-time delivery rate / balancing customer satisfaction with logistics efficiency
Formula (numerator/denominator)	Deliveries within scheduled time ÷ total deliveries
Scope / exclusion rules	Domestic B2B / delays due to natural disasters or customer circumstances are excluded
Data source / system	Actual data from WMS and TMS
Update frequency / owner	Weekly / head of logistics
Threshold / target value	Threshold 95% / Commit 96% / Stretch 97%
Escalation condition	Escalate to the management meeting if it falls below 95% for two consecutive weeks
Compensation linkage	Yes (as part of a composite score)

Using KPIs and OKRs Appropriately — Health Metrics and Change Metrics

An OKR is not a substitute for the KPIs that represent “the current state of health.” KPIs should be treated as health metrics for stable operation, and OKRs as change metrics for priority transformation; once a transformation takes hold, part of the OKR should migrate into a KPI — a desirable ongoing cycle.

✱ Using the same number simultaneously for “monitoring,” “stretch targets,” and “compensation evaluation” distorts the indicator. Separating health metrics (KPIs) from transformation metrics (OKRs) by role is the starting point of KPI management.

Chapter 4　Representative KPI Trees

4-1　What Is a KPI Tree

A KPI tree is a branching diagram that logically decomposes (usually through multiplication and addition) the top-level goal (KGI) into the lower-level elements that compose it. It visualizes the causal relationship of “which indicator to move, and by how much the ultimate goal will improve,” and connects that all the way through to frontline action indicators. It is also called a driver tree or a value driver tree.

✱ The value of a KPI tree lies not in the decomposition itself but in making visible the levers that work and the bottlenecks. Once you grasp each branch’s sensitivity — how much the whole moves if that branch improves by 1% — the priority for investment and improvement becomes clear.

4-2　The ROIC Tree — Decomposing Capital Efficiency

ROIC (return on invested capital) is a comprehensive indicator of capital efficiency, showing how much profit a company generates from the capital it has invested. Since it cannot be translated directly into frontline action, it is decomposed into two axes — “profitability” and “capital efficiency” — and then broken down further.

■ ROIC Driver Tree

ROIC ＝ NOPAT ÷ Invested capital

＝ Operating margin (NOPAT/Sales) × Invested capital turnover (Sales/Invested capital)

① Operating margin ← Gross margin (price, cost, product mix)

← SG&A ratio (personnel costs, logistics costs, fixed costs)

② Invested capital turnover ← Working capital turnover (receivables, inventory, payables)

← Fixed asset turnover (equipment utilization rate, asset efficiency)

This decomposition clarifies the strategic focus of “whether to win on margin or on capital turnover.” For example, inventory reduction (an SCM initiative discussed in the third branch) raises ROIC by improving invested capital turnover — a causal link this framework makes visible.

4-3　DuPont Decomposition — Breaking ROE into Three Factors

DuPont decomposition is the most classic driver tree, devised by the DuPont company in the 1920s, and it breaks down return on equity (ROE) into the product of three factors.

■ The DuPont System (Three-Way ROE Decomposition)

ROE ＝ Net income ÷ Shareholders’ equity

＝ Net profit margin (net income/sales)

× Total asset turnover (sales/total assets)

× Financial leverage (total assets/shareholders’ equity)

Explains ROE along the three axes of profitability × efficiency × safety (leverage)

This three-way decomposition shows which of the following drives ROE: “the earning power of the core business (margin),” “how assets are used (turnover),” or “the use of borrowing (leverage)” — and allows the levers for improvement to be separated out.

4-4　The Sales KPI Tree — A Decomposition Closer to the Front Line

Beyond the financial apex, sales closer to the front line can also be decomposed. The decomposition axis varies with the business type.

■ Sales Decomposition (Examples)

[Retail/EC] Sales ＝ Number of customers × Average spend per customer

Number of customers ＝ New customers ＋ Repeat customers (＝ acquisition × retention rate)

Average spend per customer ＝ Items purchased × Unit price

[B2B] Sales ＝ Number of customers × Average deal size

Number of customers ＝ Leads × Opportunity conversion rate × Win rate

Deal size ＝ Unit price × Volume × (1 ＋ Upsell rate)

4-5　How to Build a KPI Tree

1. Place the KGI at the apex: Put the management goal — ROIC, operating profit, sales, and so on — at the top

2. Decompose MECE-wise: Break it down into lower-level elements through multiplication and addition, without gaps or overlaps

3. Go down to controllable leaves: Extend the branches down to action indicators (leading indicators) that the front line can actually move

4. Assess sensitivity: Estimate the impact each branch has on the whole (its sensitivity) and identify the levers that actually work

5. Assign ownership: Tie each KPI to a responsible department and person, and establish a pattern for monitoring

4-6　Examples of KPI Trees by Industry and Function

Domain	KGI (apex)	Main decomposition axes (branches)
Manufacturing	Cost of goods sold ratio / ROIC	Yield, utilization rate, defect rate, inventory turnover
SCM	Total SCM cost / days of inventory	Forecast accuracy, lead time, fill rate, transportation cost
Sales	Revenue / order value	Number of opportunities, win rate, unit price, repeat rate
SaaS	ARR / LTV	New business, churn, ARPU, acquisition cost
Retail	Operating profit	Number of customers, average spend per customer, gross margin, inventory turnover

4-7　Decomposition Methods for KPI Trees — Top-Down, Bottom-Up, and Catchball

A KPI tree is not merely “a nice-looking diagram” — it is also a map of where decision-making authority sits. Different decomposition approaches suit different purposes.

・Top-down decomposition: Works down from top-level outcomes such as ROIC or operating profit to price, volume, cost, and working capital. Strong for capital-market dialogue and company-wide turnarounds

・Bottom-up decomposition: Works backward from frontline anomalies, A3 problem-solving, and drill-downs to infer their contribution to upper-level KPIs. Suits organizations with mature improvement activities

・Catchball (hoshin kanri): A back-and-forth between top-down and bottom-up. Each layer decomposes the upper-level policy and returns feasibility and learnings back up

Verifying causality is also essential. It is not enough to say “training hours increased” — one must confirm the logical chain to outcomes (the chain of drivers), such as “training completion rate → skill certification rate → lower defect rate → improved gross margin,” and validate it after the fact through correlation and regression analysis.

An Example Metrics Tree for SaaS/IT Services

In addition to the capital-efficiency type (ROIC tree), for subscription businesses a tree that decomposes revenue into customer base and continuation/expansion is effective.

■ SaaS Metrics Tree (Example)

Revenue (ARR)

＝ Number of customers × Average revenue per user (ARPU)

Number of customers ＝ New acquisition ＋ (Existing − Churn)

└ New ← Leads × CVR (conversion rate)

└ Churn ← Churn rate (retention)

ARPU ＝ Base unit price × (1 ＋ upsell rate/expansion)

✱ Practical procedure: narrow the top-level KPIs down to one to three, select five to seven mid-level drivers with high explanatory power, and cascade them down to indicators the front line can move daily or weekly. Tie each node to its formulaic relationship, owner, update frequency, and example actions, and decide down to “which meeting, at which threshold, who decides what.” Review every quarter whether each lower-level indicator truly moves the upper-level KPI.

Chapter 5　Cross-Industry Corporate Case Comparison (Based on Named Companies’ IR Disclosures)

Based on public IR materials, integrated reports, and earnings materials, this chapter organizes which KPIs leading companies place at the center of their management. (This is an organization of each company’s headline KPIs, not their internal management indicators as such.)

Industry / Company	Tendency of headline KPIs	Characteristics
Automotive (Toyota)	Operating profit, ROE, tied to real demand	TPS-based. Emphasizes responsiveness over forecasting
Diversified electronics (Hitachi, Siemens)	ROIC / ROCE, FCF	Business-portfolio management emphasizing capital efficiency and cash
Human resources (Recruit)	Adjusted EBITDA (with clarified definition)	Clarifies the definition of compensation-linked KPIs
Aviation (ANA)	ROE, non-aviation revenue, ESG (multiple indicators)	Connects multiple indicators, not a single one, to compensation
IT/consulting (Accenture, Salesforce, NTT Data)	Revenue growth × operating margin (composite)	A composite of growth rate and cloud revenue/margin
Retail (Fast Retailing, 7&i, Walmart)	Revenue growth × margin × inventory efficiency	A composite of growth, profit, and inventory turnover
Financial services (MUFG, DBS, JPMorgan)	ROE, CET1 ratio, and other capital-constrained metrics	Centers on profitability under capital constraints

✱ Takeaway: In manufacturing and financial services, “capital-constrained KPIs” such as ROIC/ROCE/ROE/CET1 tend to be the main axis; in retail and IT, a composite of “revenue growth × margin” is common; and in services, profit is often paired with operational levers such as utilization, non-aviation revenue, or order intake. And the higher-performing companies tend to connect their KPIs to investment decisions, compensation, and IR dialogue using “the same logic” across all three. Companies that use indicators only for disclosure tend to have a weaker tree structure and weaker grounds for setting them.

Chapter 6　Governance and Practical Pitfalls

Advancing management is not about increasing the number of KPIs; it is about transforming into “a system that correctly handles numbers with different roles and runs them through meeting structures, data, and compensation.” The main pitfalls that emerge from leading examples and the regulatory context are the following five.

①　Conflating numbers that play different roles: If a monitoring indicator for health status is turned into a stretch target and tied directly to compensation, the front line will “manufacture” the number through excess safety stock, provisioning, or deferring deals. Poor-quality diagnostic control invites problem behavior

②　Neglecting data quality: Accuracy, completeness, and timeliness are the foundation of management control (BCBS 239). A KPI without data definitions, a dictionary, metadata, a data owner, and a revision history becomes mere “number-matching” (the ECB requires monitoring KPIs for data quality)

③　Over-reliance on a single compensation-linked metric: Betting everything on a single indicator distorts behavior. Leading companies compose multiple indicators (financial, strategic, quality, ESG) into a composite score and link that to compensation (e.g., ANA uses ROE, non-aviation revenue, and ESG; Siemens uses ROCE and FCF)

④　Misalignment with organizational culture: Policy management and OKRs function only when accompanied by dialogue, review, and learning. In a culture where the front line cannot voice objections, top-down KPIs become “orders,” and the quality of improvement suffers

⑤　Weak meeting structure and accountability system: Connecting the agendas of the board, CEO, CFO, and CHRO is essential (METI). The minimum operating units for KPI management are the “monthly management meeting,” the “quarterly business review,” the “semiannual investment and talent review,” and the “annual capital-market update”

6-1　The Order of Implementation — Definition → Data → Meetings → Compensation

Implementation should, in principle, follow the order “definition → data → meetings → compensation.” Connecting to compensation too early heightens fights over definitions and pressure to manipulate data. First finalize the KPI definition sheet, then put data-quality monitoring KPIs in place, operate them through monthly reviews, and only after a period of stable operation, connect them selectively and cautiously to compensation.

⚠ Do not skip the sequence: Rushing to link compensation degrades an indicator into a “manufactured number.” The cardinal rule for preventing distortion is to first solidify the foundation of definitions and data quality, then carefully connect it to compensation as a composite of multiple indicators.

6-2　The Management KPI Ledger — Using “the Same Version” Company-Wide

Even after adopting BSC or policy management, if each meeting body uses KPIs with different definitions, only the cost of control increases. What prevents this is the “management KPI ledger” — a single sheet that defines management-level KPIs.

Ledger column	Content
Higher-level purpose / value-creation hypothesis	Why this KPI, and how it creates value
Upper-level KPI / main drivers	The apex indicator and the mid-level factors that move it
Data source / update frequency	From which system, and how often
Decision-maker / compensation linkage	Who decides, and whether it is tied to compensation

✱ Summary: Advancing management means connecting the hypothesis of corporate value creation to “capital efficiency, customer value, operational quality, and human capability,” and transforming that into a system run through meeting structures, data, and compensation. Layer BSC/ROIC at the top, policy management and daily management below, and OKRs for transformation — this framework is the most consistent, both theoretically and across case comparisons.

Chapter 7　The Frameworks and Systems That Support Advanced Management

Running advanced methods and KPI trees in practice requires the data infrastructure, systems, and organization that support them.

・EPM systems: A platform that integrates budgeting, forecasting, consolidation, and disclosure. Accelerates rolling forecasts and scenario analysis

・BI and dashboards: A management cockpit that visualizes the KPI tree in real time. Enables drilling down to root causes

・Data infrastructure (Single Source of Truth): Integrates financial and operational data so the entire company sees the same numbers

・The FP&A organization: A specialized function responsible for planning, analysis, and decision support. Bridges data and the business

✱ Systems are the means to run the KPI tree “quickly, accurately, and company-wide.” The correct order is to first design the logic of the KPIs (the tree), and then implement it in systems. Leading with tools invites hollow formality.

Chapter 8　Implementation Roadmap and Conclusion

8-1　Phased Advancement

Phase	Initiative	Resulting state
Phase 1: Visualization	Consolidate financial and operational data and deploy BI	Visibility into current KPIs
Phase 2: KPI design	Establish KGI-KSF-KPI and the KPI tree	An indicator system connected by causality
Phase 3: Advanced planning	Rolling forecasts and driver-based planning	Keeping pace with change and sensitivity analysis
Phase 4: Forecasting/autonomy	AI forecasting, scenarios, and automated alerts	Forward-looking, responsive management

8-2　Conclusion

Advancing management means moving from management that looks back at financial results after the fact, to management that reads ahead and moves leading indicators through an “indicator system connected by causality” (the KPI tree). Advanced methods such as EPM/xP&A, rolling forecasts, and BSC are, in every case, nothing other than tools for realizing this “causality” and “foresight.”

✱ Final message: good management starts with good KPIs, and good KPIs are born from a good KPI tree. Logically decomposing the KGI, identifying the levers that work, and connecting them all the way through to frontline action indicators — this design is the very core of advancing management.

(This paper was prepared based on general theories of management control and managerial accounting — BSC, EPM/CPM, xP&A, Beyond Budgeting, OKR, and driver trees such as ROIC/DuPont decomposition — as well as public literature from 2025–2026. The formulas and trees presented are representative models; actual designs should be adjusted to the characteristics of the business.)