SAP Solutions for Data Analytics

Name: leverX Company
Brand: LeverX
Rating: 4.9 (114 reviews)

Manage your business that relies on metrics and figures with SAP data analytics solutions.

Collaborating with an SAP Gold Partner provides access to resources and seasoned professionals, ensuring your project's reliability. Their expertise tailors SAP solutions for your unique needs, optimizing ROI and efficiency.

Partnering with an SAP Global Strategic Supplier goes beyond buyer-seller dynamics. They provide critical solutions for global operations, collaborate on product development, and drive strategic initiatives.

LeverX is a certified partner of the SAP Center of Expertise. This accreditation ensures our unwavering commitment to upholding SAP's highest standards. Our mission is to deliver excellence, providing unparalleled support, and facilitating the seamless integration of SAP solutions into your business framework.

Such companies help businesses solve complex problems, deliver exceptional user experiences, and drive digital transformation using design thinking and innovation expertise. They leverage SAP's best practices and cutting-edge tools to create user-centric solutions.

SAP solutions for data analytics are modern tools and technologies that help you collect, process, analyze, and visualize data to make informed decisions and achieve strategic goals.

Using these solutions, you can:
Increase the value of data and make more effective decisions.
Gain valuable insights using a modern data stack.
Extend planning and analysis across the enterprise.

SAP solutions for data analytics help you create a competitive advantage by optimizing decision-making and leveraging data.

Advanced solutions

SAP solutions cover all aspects of working with data, including analytics and visualization, providing a one-stop solution to meet your organization’s needs.

Integration with other systems

These solutions easily integrate with other systems and applications, ensuring data synchronization between various business processes.

Data management and security

SAP utilizes robust data management and security tools to ensure confidentiality and compliance with information security regulations.

Industry-specific expertise

SAP solutions are tailored to meet the requirements of various industries, taking into account their specific needs and challenges.

Advanced analytics capabilities

Analytics tools such as predictive analytics, machine learning, and artificial intelligence enable you to gain deeper insights from data and make better-informed decisions.

Visualization

Visualization features enable you to create interactive dashboards and reports that make it easier to understand complex data and identify trends and patterns.

Data Management and Analytics Solutions We Implement

SAP data management and analytics solutions enable you to leverage your data, gain valuable insights, and enhance planning and analysis capabilities across your enterprise.

Unified data foundation and management

Data warehousing and virtualization

Real-time data analytics

AI, insights, and intelligent planning

Integration, governance, and security

Data science

Unified data foundation and management

SAP provides solutions to help your data stay consistent, accessible, and compliant by:

Harmonizing data across SAP and non-SAP systems.
Managing large-scale data in real time with in-memory processing.
Ensuring data quality and governance across the enterprise.
Creating a trusted, unified semantic layer for analytics.

SAP Business Data Cloud (SAP BDC)

Unify SAP and third-party data to provide an enterprise-wide foundation and turn information into measurable business value.
SAP Datasphere

Build a semantic layer on top of diverse sources, virtualize access without replication, and harmonize SAP and non-SAP data for analytics.
SAP HANA Cloud

Unify transactions and analytics in a single platform with real-time performance and flexible scalability.
SAP Master Data Governance (SAP MDG)

Ensure accuracy and consistency of master data across business processes through governance and quality rules.

Data warehousing and virtualization

SAP enables organizations to unify, virtualize, and manage enterprise data for fast, reliable access by:

Consolidating structured and unstructured data into a single semantic layer.
Providing virtual access to SAP and non-SAP sources without physical replication.
Running high-performance queries with in-memory processing.
Supporting scalability to handle growing data volumes across the enterprise.

SAP Datasphere

Create a unified data foundation with virtualized access to SAP and external sources, eliminating silos.
SAP HANA Cloud

Store and process large-scale enterprise data in real time with in-memory performance and elastic scalability.

Real-time data analytics

SAP solutions deliver instant insights from live business transactions and streaming data by:

Enabling real-time dashboards and KPI monitoring.
Supporting instant decision-making with live connectivity to ERP and CRM.
Detecting anomalies and trends as they occur with event-driven analytics.
Reducing latency between transactions and reporting for maximum agility.

SAP HANA Cloud

Process high-volume transactions and analytics simultaneously in real time.
SAP Analytics Cloud (SAC)

Deliver live dashboards with direct connectivity to operational systems for immediate visibility.
SAP Event Mesh

Stream real-time business events across SAP and non-SAP applications to power event-driven analytics and immediate responses.
SAP Data Intelligence Cloud

Manage and orchestrate streaming and batch pipelines for timely analytics.

AI, insights, and intelligent planning

SAP helps businesses open new perspectives and make smarter decisions by:

Running predictive forecasts, anomaly detection, and scenario planning to anticipate market shifts.
Providing self-service tools for data access, analysis, and exploration.
Embedding AI and ML to uncover trends, personalize recommendations, and automate decision support.
Enabling custom AI/ML pipelines for domain-specific and advanced use cases.

SAP Analytics Cloud (SAC)

Visualize KPIs, explore data with self-service analytics, and integrate planning to support agile decisions.
SAP Integrated Business Planning (SAP IBP)

Align sales, operations, and finance through intelligent planning.
SAP Business Technology Platform (SAP BTP)

Build and deploy AI/ML models integrated with enterprise data.
SAP Joule

Streamline decision-making with contextual answers, recommendations, and process guidance across SAP applications.
SAP BusinessObjects (SAP BO)

Create standardized operational reports, format them at scale, and distribute consistent outputs.

Integration, governance, and security

SAP provides solutions for keeping analytics trustworthy, compliant, and integrated by:

Orchestrating data pipelines across ERP, CRM, POS, and external sources.
Enforcing governance, lineage, and auditability for regulatory compliance.
Securing data access with encryption, role-based controls, and monitoring.

SAP Data Intelligence Cloud

Integrate and unify raw data across cloud and on-premise systems into well-managed assets.
SAP Master Data Governance (SAP MDG)

Achieve compliance and consistency of master data across all business processes.
SAP HANA Cloud

Protect critical information with built-in encryption, access controls, and secure network connectivity.
SAP Datasphere

Control access with fine-grained permissions, enforce compliance, and maintain data transparency.
SAP Business Data Cloud (SAP BDC)

Establish consistent data management across the organization.
SAP Information Lifecycle Management (SAP ILM)

Control data retention and archiving, enforce compliance with GDPR and other regulations, and optimize storage by managing information throughout its lifecycle.

Data science

SAP empowers businesses to apply advanced analytics, machine learning, and AI to solve specific challenges by:

Building custom machine learning pipelines tailored to business needs.
Embedding predictive models into planning and operational workflows to automate decisions and enhance customer-facing processes.
Supporting collaboration between data scientists, IT, and business teams.
Ensuring models are trained, deployed, and monitored in compliance with governance standards.

SAP Business Technology Platform (SAP BTP)

Develop, train, and deploy AI/ML models directly integrated with enterprise data.
SAP AI Core & AI Launchpad

Manage, deploy, and monitor machine learning models with enterprise-grade lifecycle management tools.
SAP Analytics Cloud (SAC)

Enable business users to apply predictive forecasting and automated machine learning in self-service mode.

With AI, SAP’s data analytics solutions empower organizations to harness their data more effectively, leading to informed decision-making and improved business outcomes:

Automate data analysis, uncovering trends and insights without manual intervention, for faster, data-driven decisions in areas like demand planning and risk management;
Interact with data using conversational language to simplify complex data queries and enhance accessibility;
Enhance your performance analytics, as AI can identify your key performance indicators and anomalies, providing actionable insights that drive business performance;
Easily consolidate data from diverse sources for comprehensive and accurate analytics.

Banking & finance

SAP Data Analytics benefits financial institutions by enhancing risk assessment, detecting fraud, and performing financial forecasts. By analyzing transaction data, credit risks, and market trends, banks and other financial organizations improve asset protection, ensure regulatory compliance, and identify new growth opportunities. view solution

Education

Implementing SAP Data Analytics in educational establishments helps boost administrative effectiveness, optimize resource allocation, and improve student outcomes. Through the analysis of engagement measures and student performance data, educational institutions can customize curricula and pinpoint areas that need development. The platform also facilitates labor planning, budget forecasting, and meeting funding needs.

Retail

Retailers use SAP Data Analytics to analyze customer behavior, sales trends, and inventory performance. Insights into customer preferences enable personalized marketing campaigns, optimize pricing strategies, and improve inventory management. These capabilities help retain customers, boost sales, and streamline business processes. view solution

Automotive

SAP Data Analytics gives automakers and dealerships the ability to examine consumer preferences, vehicle performance, and manufacturing efficiency. It optimizes spare component inventory levels, enhances supply chain visibility, and makes predictive maintenance for automobiles easier. view solution

Industrial manufacturing

In manufacturing, SAP Data Analytics helps monitor production processes, identify inefficiencies, and ensure product quality. It supports predictive maintenance to minimize equipment downtime and prevent production delays. Additionally, it enhances decision-making by analyzing key supply chain and manufacturing metrics. view solution

Why LeverX?

Proven track record

For over 20 years, we have helped businesses worldwide succeed with SAP. We’ve already completed 950+ projects for over 800 clients, including top names on the Fortune 500 list.

Industry experts

The LeverX team comprises professionals with hands-on knowledge in 30+ industries, including manufacturing, logistics, and oil  and gas.

SAP partnership

We implement SAP projects end-to-end  and collaborate with SAP on the development and enhancement of its existing solutions.

Quality and security

LeverX operates in compliance with international standards such as ISO 9001, ISO 27001, ISO 22301, and ISO 55001, ensuring reliability and quality in every project.

Investment in innovation

We actively integrate advanced technologies, such as Data Science, IoT, AI, Big Data, Blockchain, and others, to help clients efficiently address their business challenges.

Flexibility

Our team is available 24/7, which enables us to quickly deploy projects, maintain process transparency, and adapt each development phase to meet your specific requirements.

Assessing the current environment and preparing a migration plan

Assessment of the current state. We analyze the current systems and their performance, as well as their compatibility with the future solution for data analytics.
Implementation plan development. Our experts create a detailed plan that covers team roles and responsibilities, cost estimates, and time frames.

Step 1

Preparing data and applications

Data cleaning. This step includes removing duplicates and correcting errors in data, as well as handling missing values and outliers.
Data structuring. We create a data schema for new solutions and convert data to meet its requirements.

Step 2

Creating cloud infrastructure

Creation of necessary cloud resources. Our experts prepare database instances, virtual machines, and network settings.

Step 3

Migrating data

Preparing for migration. At this stage, we make data backup and set up a migration environment.
Data migration. The LeverX specialists migrate, deploy, and test applications in a cloud environment, ensuring they work correctly and perform well.

Step 4

Testing and optimizing

Testing. We conduct this stage after implementing the solution to verify functionality, performance, and security.
Optimization. We personalize settings and configurations for optimal performance and resource utilization.

Step 5

User training and support

User training. Our team conducts training sessions and prepares manuals on the use of new systems.
Support. We provide support services for users after migration is complete.

Step 6

Monitoring and optimizing after the implementation

Monitoring. Our experts continuously monitor system performance and availability.
Optimization. We also conduct regular analysis to optimize settings and resource usage, as well as implement updates and improvements in the cloud environment.

Step 7

How do SAP data analytics solutions help my company achieve a better ROI?

Turning raw data into insights helps organizations improve supply chains, enable predictive maintenance, and discover new revenue opportunities, ultimately improving ROI when supported by effective processes.

Can we use these solutions with our existing non-SAP systems?

Yes, SAP data analytics solutions, such as SAP Datasphere and SAP Data Intelligence Cloud, are designed to integrate with a wide range of systems, including both SAP and third-party applications. This allows you to create a unified data foundation for comprehensive analysis with both virtualized and replicated access, depending on performance needs.

What is the typical implementation timeline for an SAP data analytics project?

Implementation timelines depend on your specific needs. Smaller rollouts (e.g., dashboards or integrations) may take 6–8 weeks, while enterprise-wide multi-phase projects typically require 6–12 months. Before implementation, we analyze the current situation and create a detailed project plan to accelerate time-to-value and minimize disruption.

How can SAP analytics solutions support long-term business planning?

SAP provides solutions like SAP Integrated Business Planning (SAP IBP) and SAP Analytics Cloud to help you align various departments, such as sales, operations, and finance. Leveraging advanced analytics and predictive models allows you to perform scenario planning, forecast demand, and create a shared plan that supports agile, strategic decision-making and long-term business goals.

1

An expert will reach out to you to discuss your specific needs and requirements.
2

We'll sign an NDA to ensure any sensitive information is kept secure and confidential.
3

We'll work with you to prepare a customized proposal based on the project's scope, timeline, and budget.