By jaison.mathew@…, 11 April, 2025
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Case Study Type -Industry
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Client
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A leading downstream energy company in the southern and southwestern U.S.
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Solution
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Enterprise Data Strategy with SAP Datasphere and SAC Planning
LOB Self Service and centralized gross margin and revenue planning
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At a glance
Description
The client, a leading downstream energy company, partnered with Applexus to modernize its financial planning and analytics (FP&A) processes. Transitioning from Excel-based planning to SAP Analytics Cloud (SAC) Planning, the initiative focused on aligning with client’s enterprise data strategy built on an Azure Databricks-based platform. Applexus supported the client in evaluating the optimal data platform—SAP Datasphere or Databricks EDP—enabling the company to streamline planning, enhance analytics capabilities, and drive efficiency across headcount, expenses, gross margin, and P&L planning.
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A Diversified Downstream Energy Company, Combined Analytics, Planning Automation & Forecasting in A Single Cloud-based Solution
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Description

Overview

A leading downstream energy company operating across refining, logistics, convenience stores, asphalt, and renewables embarked on a financial transformation journey to enhance efficiency and decision-making. With a complex IT landscape and manual financial processes, the company partnered with Applexus to transition from spreadsheet-driven FP&A to SAP Analytics Cloud (SAC) Planning while aligning its enterprise data strategy with SAP Datasphere and an Azure Databricks-powered Enterprise Data Platform (EDP).

Challenges

  • Labor-Intensive Financial Consolidation - Significant manual effort was required to compile and process financial statements.
  • Inconsistent Data & Reconciliation Issues - Disparities across multiple systems led to challenges in data accuracy and trust.
  • Fragmented Planning & Analysis - Disconnected financial planning processes limited efficiency and cross-functional collaboration.
  • Excessive Time Spent on Data Preparation - Analysts devoted more effort to data gathering rather than strategic analysis.
  • Delayed Financial Visibility - Limited real-time insights into costs, revenue, cash flow, and margins resulted in inefficiencies and increased business risk.

Major benefits realized by our client

  • 95% Faster Versioning & Approval - Reduced manual intervention in financial planning and reporting.
  • 40% Reduction in Reporting Time - Improved access to real-time financial insights.
  • Eliminated Spreadsheets - Transitioned to a structured, cloud-based planning system for greater accuracy.
  • Stronger Cost & Revenue Insights - Enabled self-service analytics and predictive planning for proactive decision-making.
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How We Did It

  • Transition to SAC Planning - Replaced manual, spreadsheet-driven financial planning with SAP Analytics Cloud, creating a structured and scalable FP&A process.
  • Enterprise Data Strategy Alignment – Integrated SAP Datasphere and Azure Databricks to unify financial data, ensuring consistency and real-time analytics.
  • Centralized Planning & Forecasting – Combined financial data across headcount, expenses, gross margin, and P&L into a single, collaborative planning environment.
  • Future-Ready Architecture – Established a scalable, AI-ready platform by migrating SAP BW to SAP Datasphere, integrating seamlessly with Databricks for advanced analytics and automation.

Transforming FP&A Processes

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Learn how a leading energy company modernized FP&A with SAP Analytics Cloud, Azure Databricks, and SAP Datasphere to drive efficiency and advanced analytics.
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Transforming Financial Planning and Analysis with SAP Datasphere
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