Customer work · Retail and consumer

A beverage bottler unified SAP and commercial reporting and saved 30 analyst hours each week

A beverage bottler lacked a consistent view of primary sales, secondary sales, inventory, finance, assets, and distribution. BluePi integrated SAP and commercial data on a governed cloud platform and automated reporting.

A beverage bottler unified SAP and commercial reporting and saved 30 analyst hours each week system diagram

Reporting moved from manual assembly to governed self-service

Primary sales, secondary sales, inventory, finance, assets, and distribution were reported through separate processes. BluePi connected SAP and commercial data on a governed cloud platform so departments and leaders could work from shared measures.

01 · Fragmented sales reporting

Primary-sales reports were assembled manually, secondary sales remained difficult to see, departments worked from conflicting numbers, and slow dashboards limited analysis.

02 · Governed SAP analytics

A central cloud platform integrated SAP Sales, Finance, Asset Management, Inventory, and Materials data with commercial and distribution sources. Automated validation, metadata, role-based access, self-service reporting, and drill-down dashboards governed use.

03 · Analyst time and shared views

Reporting automation saved approximately 30 analyst hours each week. Departments could build governed reports, while leaders gained current primary- and secondary-sales views with drill-down analysis.

From separate departmental reports to a shared business view

BluePi connected integration, validation, metadata, access, and dashboard design so teams could use shared measures without rebuilding the same reports.

Connect the commercial view

Primary sales, secondary sales, inventory, and finance data entered a shared analytical model.

Make quality visible

Validation and metadata controls helped users understand whether a measure was ready for decision use.

Enable governed self-service

Role-based access gave teams room to explore while retaining approved definitions and protection for sensitive data.

Where this pattern fits

This case is relevant to consumer businesses with strong reporting demand and fragmented sales or distribution data. BluePi can begin with one commercial decision and the measures required to support it.

Review your SAP and commercial reporting

Case details

Open a section to review the customer problem, implementation, business change, and architecture.

01The starting point

Primary-sales reports were assembled manually, secondary sales remained largely invisible, and departments worked from conflicting numbers. Slow dashboards limited the use of data for demand, placement, pricing, inventory, and distribution decisions.

  • No visibility into business KPIs: Leadership lacked clear visibility into sales trends, inventory levels, and distribution metrics. Decisions ran on incomplete information, and the business responded slowly to market changes.
  • Manual, error-prone primary-sales reporting: Teams tracked primary sales through slow manual processes. Human error and inconsistent formatting made reporting unreliable and late.
  • No single source of truth: Disconnected systems gave each department a different version of the numbers. Decisions conflicted because teams worked from different data.
  • No secondary sales data: The bottler could not see sales from distributors to retailers, a major blind spot in market understanding. The gap weakened demand forecasting and product placement and pricing decisions.
  • Slow, outdated dashboards: Existing reports were slow and outdated. Long wait times discouraged people from using data at all.
02System delivered

BluePi integrated SAP Sales, Finance, Asset Management, Inventory, and Materials data with commercial and distribution data on a central cloud platform. Automated validation, metadata, role-based access, self-service analytics, and drill-down dashboards governed the reporting path.

  • Cloud data platform with faster access to insight: BluePi built a scalable cloud data platform that consolidated data from disparate sources into one place, shortening the path from data to insight.
  • Data discovery, quality, security, and privacy practices: Automated validation routines keep data accurate, and metadata management makes data easier to find and understand. Role-based access controls protect sensitive information while allowing self-service analytics across the organization.
  • SAP module integration: BluePi integrated SAP Sales, Finance, Asset Management, Inventory, and Materials data to connect manufacturing, distribution, and sales reporting.
03Outcomes

Reporting automation saved approximately 30 analyst hours each week. Departmental users could build governed reports, while leadership gained current primary- and secondary-sales views with drill-down for root-cause analysis.

  • Self-service analytics: Employees across departments now build their own reports and explore data without waiting for IT. Drag-and-drop dashboards put governed data within everyone's reach.
  • Real-time tracking of business KPIs: Leadership has real-time access to performance metrics through executive dashboards. Trend analysis covers primary and secondary sales, with drill-down to find root causes.
  • 30 analyst hours saved each week: Automating manual reporting freed about 30 hours of analyst time per week for higher-value work.
04Architecture boundary

SAP business modules and commercial systems fed automated integration and validation into a central governed cloud data platform. Metadata and role-based access supported self-service reports, executive dashboards, and primary- and secondary-sales analysis.

05What changed for the business

Departments gained a shared reporting base and could create governed views without waiting for repeated manual assembly. Leadership could move from current KPIs into the underlying sales, inventory, finance, and distribution detail.

System diagram