Companies lose up to 30% of their profits due to fragmented data. Discover how SAP end-to-end analytics helps turn information into factors for growth.

Imagine a company with an annual revenue of $100 million. If it loses 30% due to fragmented data, that’s $30 million a year, $2.5 million a month, or nearly $83,000 a day. These are losses that slip through the cracks simply because data is unstructured, inaccessible, or lost.

A mid-sized enterprise generates hundreds of gigabytes of data each month. Yet 68% of that information remains unused. This means it’s never analyzed, never supports decision-making, and brings no value to the business.

Let’s say a company spends $1 million a year on data collection and storage. If only 32% of that data is actually used, it means $680,000 is wasted. That’s an unacceptable level of inefficiency in a business world where data is supposed to be one of the key pillars of growth.

Where is the Root Cause?

As a company grows, its IT landscape gradually expands to include new solutions — ERP, CRM, PLM, MES, BI, and more — that support the operations of a specific department. However, implementing a new system doesn’t always mean integrating it with existing ones. As a result, data gets stored in isolated silos that aren’t connected. Each department ends up working with its own version of the truth, further deepening the fragmentation.

SAP EWM vs. Microsoft Dynamics 365 SCM — Choosing the Right Tool for the Job

In addition to financial losses, fragmented data can lead to:

Errors in reporting and forecasting

When data sources are not synchronized, analytics outputs become inconsistent, providing conflicting information. This undermines trust in reports and leads to poor management decisions.

Slower workflows

Employees waste time searching for, verifying, or requesting information that could be just a click away, if they had access to a centralized system.

Poorer customer experience

When customer or order data is scattered across multiple systems, the company struggles to deliver personalized service or resolve issues quickly.

Cybersecurity risks 

Inconsistent data storage makes it harder to control access and exposes vulnerable parts of the infrastructure that fall outside the IT department’s oversight.

Scalability challenges

As a company grows, centralized data becomes increasingly critical. Without it, expansion leads to mounting complexity and disorder across business processes.

At first glance, it may seem like a vicious cycle, right? But all these challenges have a solution.

How Bring It All Together?

Even if system integration was part of the plan, over time, data can still get lost between platforms. That’s where end-to-end analytics comes in. It helps create a unified view of what’s happening across the business and enables you to:

• Reduce losses through transparency and a single source of truth.
• Make decisions based on complete, reliable data.
• Scale infrastructure without overhauling existing processes.
• Improve forecasting accuracy and business agility.

To understand how end-to-end analytics works in practice, imagine a retail chain where:

• The CRM system stores customer data and purchase history.
• The ERP system manages inventory and procurement.
• The BI platform generates revenue reports.

Meanwhile, the marketing team uses its own platform and has no visibility into who’s actually making purchases. As a result, each system may function well on its own, but without integration you work with fragmented pieces of the bigger picture. End-to-end analytics connects the dots by bringing together data from all systems across the company.

How to Achieve Unified Analytics with SAP

Of course, it’s not as simple as it sounds. Each system comes with its own data formats, structures, volumes, refresh rates, security protocols, and business logic. In this environment, building a unified analytics space means more than just setting up data exports. It requires designing an architecture where:

• Data sources are seamlessly connected.
• Information is protected, yet accessible through role-based permissions.
• Analytics runs in real time to support informed decision-making.

That’s why SAP business analytics isn’t a single product; it’s an ecosystem where every component — data, systems, and processes — complements the others. At the core of this ecosystem lies a flexible SAP data integration approach tailored to the organization’s specific goals, resources, and IT maturity. Within this framework, business systems can be integrated with SAP through the following scenarios:

Data federation

Information remains in its original systems but is made available for analysis through a unified semantic layer. This approach minimizes duplication risks and simplifies real-time access to data.

Data replication

Data is copied into a centralized storage solution, such as SAP Datasphere or BW/4HANA, enabling more advanced transformations and in-depth analysis.

Integration with external sources

SAP systems seamlessly integrate with platforms like Microsoft Azure, Google BigQuery, Salesforce, Snowflake, Amazon Redshift, and others via built-in connectors and APIs.

However, collecting data is only half the job. To unlock its full value, SAP offers built-in machine learning and AI capabilities that:

• Detect anomalies and trends in data streams.
• Help forecast customer behavior and demand.
• Automate report generation and actionable recommendations.
• Enable natural language data analysis (via SAP Analytics Cloud).

Solutions for SAP data management and analytics:

• SAP Datasphere is an SAP unified data platform built on SAP HANA Cloud.
• SAP BW/4HANA is an enterprise data warehouse for advanced analytics and reporting.
• SAP Analytics Cloud is a solution for data visualization, planning, and forecasting.
• SAP Data Intelligence is a tool for orchestrating and managing data flows across diverse sources.
• SAP Integration Suite is a platform that enables seamless integration between SAP and external systems like Microsoft, Salesforce, and more.

What Sets SAP End-to-End Analytics Apart?

Today’s market is full of tools designed to help businesses work with data. Some focus on visualization, others on data integration, and some prioritize machine learning. But when it comes to enterprise-wide end-to-end analytics, functionality alone isn’t enough for effective performance at scale.

SAP builds analytics as an integral part of the company’s digital ecosystem, where data becomes the foundation for decision-making at every level, from day-to-day operations to long-term strategic planning.

In SAP’s architecture, analytics is embedded directly into business processes, drawing data straight from core systems like ERP, CRM, SCM, HR, and more. That means if you work within the SAP ecosystem, you don’t face:

• Discrepancies between what’s happening and what reports show.
• Delays caused by transferring data across platforms.
• Information loss during system handovers.

This approach ensures not only convenience, but also trust in the numbers and insights derived from them. Moreover, SAP’s end-to-end analytics is designed with data security and compliance in mind, adhering to local regulations and global standards such as GDPR, ISO, and others.

How SAP Integrates Data from Different Systems: Industry Use Cases

Industrial manufacturing

Issue: 

Combine operational data from factory floors, SAP systems, and IoT devices to enable real-time monitoring, predictive maintenance, and end-to-end production visibility.

How it works:

In manufacturing, end-to-end analytics enables the unification of telemetry from equipment, process performance indicators, data from MES and PLM systems, and ERP data — all within a single, analytical environment.

By integrating IoT sensors with SAP Datasphere and SAP Analytics Cloud, a company can:

• Monitor production metrics in real time.
• Analyze anomalies and predict equipment failures.
• Connect production cycles to financial KPIs.

Result: 

Consistent, high-quality products, reduced unplanned downtime through predictive maintenance, and accurate planning based on actual equipment utilization and wear.

Retail

Issue: 

Synchronize customer data from POS systems, CRM, and E-commerce platforms.

How it works:

In retail, end-to-end analytics brings together transactional data from point-of-sale systems, customer behavior in online stores, and interaction history from CRM platforms. Using SAP Integration Suite, SAP Customer Data Platform, and SAP Analytics Cloud, businesses gain:

• A comprehensive customer profile.
• The ability to personalize offers in real time
• Sales channel analytics broken down by region, segment, and customer preferences.

Result: 

Increased campaign effectiveness, higher customer lifetime value, and reduced acquisition costs.

Financial sector

Issue: 

Consolidate reporting from multiple ERP systems within a single analytics framework.

How it works:

Financial groups often operate in multi-system environments, for example, using different ERP solutions across subsidiaries or regions. SAP Datasphere enables replication and synchronization of data from both SAP and third-party ERP systems, such as Microsoft Dynamics or Oracle; SAP Analytics Cloud provides a unified interface for visualizing and analyzing that data.

This gives the company:

• Unified reporting standards.
• Group-level performance oversight.
• Visibility into currency risks, intercompany transactions, and regulatory compliance.

Result: 

Reduced period-end closing times, along with improved accuracy and transparency of financial data.

Logistics

Issue: 

Combine data from WMS, TMS, and SAP S/4HANA to gain complete visibility and control over the entire supply chain.

How it works:

End-to-end analytics in logistics connects data from warehouse and transportation systems, procurement, and inventory management. With prebuilt integrations via SAP Data Intelligence and visualization in SAP Analytics Cloud, you can:

• Track key logistics metrics.
• Forecast deliveries and model route optimization.
• Identify bottlenecks in the supply chain.

Result: 

Reduced logistics costs, shorter delivery times, and improved order fulfillment accuracy.

SAP end-to-end analytics is used across dozens of industries, anywhere businesses need accurate data, consistent reporting, and real-time control. Some of these industries include:

Automotive

What it solves: Correlate data from engineering systems, production lines, suppliers, and warranty services.

Why it matters: Enable faster defect detection, optimized supply chains, and more accurate spare parts demand forecasting.

Healthcare

What it solves: Integrate clinical, operational, and financial data into a single analytics framework.

Why it matters: Improve the efficiency of healthcare services, enhance cost management, and ensure regulatory compliance.

Oil & Gas

What it solves: Integrate data from extraction, transportation, refining, and financial systems.

Why it matters: Enable profitability analysis at well level, reduce downtime, and support investment decisions based on real-time data.

Telecommunications

What it solves: Consolidate data from billing systems, CRM, and network infrastructure.

Why it matters: Enhance reporting accuracy, reduce customer churn, and enable personalized offers based on user behavior.

Pharmaceuticals 

What it solves: Integrate data from R&D, clinical trials, regulatory compliance, and logistics.

Why it matters: Accelerate time-to-market for new drugs and ensure alignment with industry standards.

How LeverX Enables End-to-End Analytics with SAP

Implementing end-to-end analytics is a transformation of how an organization works with data. It requires careful consideration of system architecture, role distribution, process maturity, and real business goals. The LeverX team supports clients at every step of this journey — from initial assessment to building a fully integrated analytics environment.

What you gain by partnering with us:

• A thorough audit of your IT landscape and data issues before implementation begins
• Integration architecture design tailored to your business specifics
• Fast deployment of key SAP solutions like SAP Datasphere and SAP Analytics Cloud
• Customized dashboards and reports that eliminate the need for manual data gathering
• Ongoing support and enhancement of your analytics environment, even after go-live
• User training to ensure confident, efficient use of data and analytics tools

Why market leaders trust us

Data-Savvy Companies Win

In a market where speed and decision quality define competitiveness, businesses can no longer afford to operate in the dark, overlooking the value hidden in the gigabytes of data they generate every day.

SAP-based end-to-end analytics is a way to turn data into a true business asset, driving growth, transparency, and control. It empowers companies to not just collect information, but to uncover connections, forecast risks, test hypotheses, and act proactively.

With deep SAP expertise, a thorough understanding of the SAP ecosystem, and hands-on experience across dozens of industries, LeverX helps companies build the foundation they need for effective data-driven operations. Ready to move from siloed data to a unified ecosystem?

Get in touch with the LeverX team — we’ll show you where to start.