Boutique consultancy for analytics, BI & AI

Your data is everywhere.
Your control: nowhere.

Dozens of tools, hundreds of reports, no single source of truth. Keep scrolling and watch structure emerge from the noise.

01 / Centralization

Everything runs through one bottleneck.

The classic central BI team: control yes, speed no. Every request waits in the same queue, and the backlog keeps growing.

02 / Hub & Spoke

Control is created in the organization, not in the tool.

A competence center for standards and platform, fast teams in the business units. We build this operating model with you: vendor-independent, proven in large enterprises, and at home at C-level.

Graphic: a competence center in the middle, connected to the business units Finance, Sales, Supply Chain, Procurement, Marketing and HR, each with teams and users attached.

Platforms we assess vendor-independently: SAP, Microsoft, Snowflake, Databricks, AWS, Oracle, Google Cloud.

Focus topic

Sales Performance Management: manage sales instead of just reporting it.

Your sales organization has plenty of reports. What is often missing are solid answers:

  1. Which customers deserve more sales time?
  2. Where is untapped potential in markets and accounts?
  3. How reliable is the forecast?
Customer Value ManagementPotential analysisAI forecastSales cockpit
Customer Portfolio
Develop Expand Serve Efficiently Defend Customer value today → Potential →
Dot size = deployed sales timeFocus by potentialIllustrative

Use the toggle and watch how deployed sales time shifts: away from pure revenue history, toward the customers where growth is realistic.

Step 11–2 weeks

Assessment

Review CRM and ERP data, define the steering questions.

Step 22–4 weeks

Potential view on real data

Portfolio, white-space candidates, priority list: a management view of your own numbers.

Step 3

Pilot & anchoring

Segment logic in the CRM, forecast model in operation, cockpit for the routines.

Technology that fits your business. Not the other way around.

06 disciplines
0 vendor commissions

KPIs & AI along your core processes.

Process examples
Choose a process

Order to Cash

Typical KPIs
  • Cash Conversion Cycle (CCC)
  • Days Sales Outstanding (DSO)
  • Order Processing Throughput Time
  • First-Time-Right Rate Invoices
  • Payment Reliability & Dunning Rate
AI Use Cases
  • Predict payment defaults early through ML scoring and avoid them.
  • Automate cash flow forecasts using modern time series models.
  • Assess credit risks in real time rather than correcting them later.
  • Automate invoice processing with Document AI
Analytics Stack
  • SAP SAC for real-time O2C monitoring
  • BW/4HANA & CDS Views for order monitoring
  • Power BI Embedded for sales self-service
  • N8N / UiPath for invoice workflows

Customer & Sales

Typical KPIs
  • Forecast Accuracy
  • Pipeline Velocity & Win Rate
  • Customer Lifetime Value (CLV)
  • Churn Rate & Net Revenue Retention
  • Average Deal Size & Sales Cycle Length
AI Use Cases
  • Churn prediction to identify customers at risk of leaving.
  • Lead scoring based on historical conversion data.
  • Next-best-action recommendations for sales teams.
  • Automate forecasts and replace manual Excel estimates with data-driven models.
Analytics Stack
  • Power BI for pipeline & forecast dashboards
  • SAC Planning for integrated sales planning
  • ChatGPT / Claude for CRM summaries & meeting prep
  • N8N for automated lead nurturing workflows

Procure-to-Pay

Typical KPIs
  • Maverick Buying Rate
  • Supplier Performance (OTIF)
  • Process Cost per Order
  • Contract Compliance
  • Procurement Volume under Management
AI Use Cases
  • Detect supplier risks early through natural language processing of news sources.
  • Automatically classify demands and assign them to appropriate product categories.
  • Automate invoice verification using Document AI.
  • Accelerate ordering processes through intelligent automation.
Analytics Stack
  • SAP Datasphere for spend analytics & procurement controlling
  • BW/4HANA for operational procurement reporting
  • UiPath / N8N for automated invoice workflows
  • Power BI for supplier scorecards

Finance & Controlling

Typical KPIs
  • Plan vs. Actual Variance & Forecast Accuracy
  • Closing Speed (Fast Close in Days)
  • Cost Center Transparency & Allocation Accuracy
  • EBIT Driver Analysis & Margin Contributions
  • Working Capital Ratio
AI Use Cases
  • Anomaly detection in bookings and account movements.
  • Automate period-end accruals and accrual suggestions.
  • Conduct variance analyses with automated commentary generation.
  • Use predictive budgeting instead of traditional bottom-up Excel planning.
Analytics Stack
  • SAC Planning for integrated financial planning & consolidation
  • BW/4HANA for group reporting & legal structures
  • Power BI for management cockpit & board reporting
  • Claude / ChatGPT for automated variance commentaries

Supply Chain

Typical KPIs
  • Delivery Reliability (OTIF, On Time In Full)
  • Inventory Turnover & Stock Coverage
  • Perfect Order Rate
  • Transportation Cost per Unit
  • Demand Forecast Accuracy
AI Use Cases
  • Replace traditional demand forecasting methods with machine learning approaches.
  • Optimize your inventory through intelligent forecasting and reduce storage costs and stockouts.
  • Detect bottlenecks in your supply chain early and respond proactively.
  • Optimize your transport routes and reduce CO₂ emissions and costs.
Analytics Stack
  • SAP IBP / SAC for S&OP planning
  • Datasphere for supply chain analytics & data integration
  • Power BI for operational logistics dashboard
  • N8N for automated stock alerts & notifications
Robert Barling, founder and managing director of Barling Consulting
Robert BarlingFounder & Managing Director

About · Since 2010 · Burgthann near Nuremberg

Boutique consultancy with laser focus on practical solutions.

Barling Consulting is a vendor-independent boutique consultancy for analytics, business intelligence, and artificial intelligence. We support large enterprises and corporations from strategy to implementation. Our expertise covers SAP S/4HANA transformations, Microsoft analytics stack, and business AI. Founded in 2010 by Robert Barling, we work personally, with practical focus, and more than 15 years of industry experience.

Our core team consists of specialists in SAP, Microsoft, and artificial intelligence. For larger projects, we strategically add experts with whom we have long-standing relationships. This enables fast decision-making while maintaining flexible scalability. We operate throughout Europe, supporting clients on-site or remotely.

2010Founded
15+Years of experience
0Vendor commissions
2–4wksto first results

Why Barling

Frequently Asked

What CEOs and CIOs Ask Us.

What AI potential can I realistically unlock for my company?
Available AI opportunities depend less on technology and more on your data and existing processes. The greatest opportunities typically emerge where manual work is currently invested in reporting, document processing, or forecasting. In a multi-day assessment, we specifically identify which use cases deliver the highest ROI for your company.
Will I need fewer employees with AI?
In most cases, no. What changes is the type of activities your employees perform. Artificial intelligence takes over repetitive tasks such as data preparation, initial assessments, and standard reports. This gives your employees time for their actual responsibilities: making strategic decisions, nurturing customer relationships, and driving innovation. Companies that implement this correctly can alleviate their talent shortage rather than cutting positions.
Why a boutique consultancy instead of a large consulting firm?
Our founder personally conducts the workshops, not a junior consultant. We don't sell licenses and don't recommend platforms from which we receive commissions. Our recommendations are therefore completely independent. Additionally, you benefit from short decision paths, a lean team, and continuous support from the same experts throughout your project.
What does an AI pilot cost and what does delay cost?
A focused AI pilot typically takes three to six weeks. During this time, you identify a use case, build a prototype, and measure ROI. This investment is significantly lower than what many companies spend annually on manual processes that could be automated. The critical consideration is: What does it cost if your competitors start implementation six months earlier?
How do I find out which analytics platform fits us?
Avoid workshops conducted by platform vendors. We conduct structured, independent platform assessments that systematically evaluate SAP, Microsoft, Snowflake, Databricks, AWS, Oracle, and Google Cloud against your specific requirements, without licensing dependencies and without vendor bias. The result is a transparent and well-founded decision basis. Such an assessment typically takes two to three weeks.
Our S/4HANA transformation is already underway, can you take over the analytics component?
That is exactly our core competency. We integrate into ongoing transformation programs and assume responsibility for the complete analytics workstream. This includes BW migration, Datasphere target architecture, SAC rollout, embedded analytics, and historization. You maintain control of the overall project while we handle the analytics component.
How quickly will we see first results?
Typically within two to four weeks. We start with a focused assessment that already delivers concrete recommendations. None of our projects begin with a lengthy analysis phase. We deliberately deliver early wins such as an operational dashboard or an automated report to build trust and momentum.
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Robert Barling

Founder & Managing Director

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