SAP HANA Predictive Analysis Library (PAL)

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

Harness predictive analytics directly from where your data lives.

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SAP HANA Predictive Analysis Library (PAL) is a collection of statistical and machine learning (ML) algorithms that are built into the SAP HANA in-memory database. The library helps enterprises process and analyze big data volumes, reveal patterns, anticipate trends, and make informed decisions — all within the database and in real-time.

SAP PAL ties together the functions of data storage and intelligent analytics, providing organizations with speed and data insights to forge forward. The library is most beneficial for enterprises that handle big data, IoT projects, and other advanced analytical workloads.

The AFL can be integrated with SAP Analytics Cloud (SAC), SAP Data Intelligence Cloud, custom R/Python scripts, and other solutions, providing SAP users with multiple access points to the capabilities of SAP PAL.

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Rapid implementation of analytical solutions

Reduce the time for creation and training of predictive models due to native-database processing and prebuilt algorithms.

Lowered infrastructure and integration costs

Remove the need for external ML services, additional transfer data, and extra maintenance effort, running the analytical algorithms within SAP HANA.

Upgraded forecast accuracy

Fine-tune the accuracy of data segmentation, issue detection, and predictions applied in your business scenarios.

Real-time analytics on all live and streaming data

Receive prompt insights on streaming and transactional data with the help of in-memory processing.

Flexible model adjustments

Leverage adaptive learning capabilities to stay relevant as data and market conditions change.

Ecosystem integration and scalability

Seamlessly connect SAP PAL with IoT modules, SAP analytical solutions, and R/Python environments to expand collaboration within your organization.

Built-in analytics and ML library

Ensure maximum effectiveness and security when working with data, without extra movement to obtain quality insights.

In-memory processing

Receive prompt analytical feedback using SAP HANA’s in-memory technology to improve further performance.

Ready-to-use algorithms

Create new models for clustering, classifying, or making predictions without excessive coding, using a set of prebuilt algorithms.

R and Python support

Use Python and R scripts for custom scenarios, models, and workflows within SAP HANA.

Integration with IoT, BI, and SAP business applications

Provide direct access to more data for connected and extended analytics across your organization.

There are several integration points of SAP HANA Predictive Analysis Library with SAP and non-SAP solutions. Their main objective is to ensure data-based decision-making in real-time across the whole organization.

SAP S/4HANA: Integration with asset management, logistics, and financial modules to embed predictive analytics into corresponding processes.
SAP Predictive Asset Insights (SAP PAI): The ML algorithms of SAP HANA PAL support asset performance optimization and predictive maintenance.
SAP Data Intelligence Cloud: The combination of two systems is used for data flow orchestration and management of predictive model lifecycles across hybrid environments.
SAP Analytics Cloud (SAC): SAP HANA PAL insights are supported with BI and visualization capabilities.
External IoT platforms: When the IoT data is ingested into SAP HANA, it can be used for real-time analytics.

How We Can Help

Consulting

Our specialists assess your data environment to identify how SAP HANA PAL can be most useful for your organization.

Solution design

We create an analytical infrastructure specifically for your business requirements.

Implementation

Our team configures the library and integrates it into your SAP environment.

Model development

We train, test, and optimize ML models for automation and predictive analytics.

IoT and BI integration

The LeverX team connects IoT devices and BI systems to SAP HANA and SAP HANA PAL for more insights and comprehensive analytics in real time.

Enterprises working with large datasets

When multinational corporations, industrial holdings, and groups work in complex environments at scale, library usage can improve data forecasts.

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Companies with critical equipment and infrastructure

Asset-intensive organizations— typical for such industries as oil and gas, manufacturing, energy, and transportation—can benefit from SAP HANA PAL in terms of asset state monitoring, predictive maintenance, and reduced downtime.

Finance and insurance

Investment funds, insurance providers, or banks apply the AFL to define model profitability, anticipate fraud and credit risks, and analyze potential financial performance.

Retail and distribution

Companies can run supply chain planning, facilitate inventory optimization, and approach demand forecasting with more reliable data.

Pharmaceuticals and healthcare

The library can support healthcare operations with relevant data analysis, drug supply and demand forecasting, as well as with insights about current products.

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Transportation and logistics

With the help of data modeling and predictive analytics, the solution is helpful for route and shipment planning, warehouse utilization, and scheduling.

Why LeverX

Proven track record

For over 20 years, we have helped businesses worldwide succeed with SAP. We’ve already completed 1,500+ projects for over 900 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.

Assessment

We evaluate your current asset data infrastructure, analytical and business needs, and expected results. We then prepare a project plan with clear goals and criteria.

Work with data sources

Our data experts define what data sources will be relevant, extract datasets, and optimize the extracted data.

Configuration

Our team selects PAL algorithms and submodules to be used, sets up parameters, and trains predictive analytics models.

Integration

We add predictive analytics to business applications to accelerate processes and decision-making.

Testing and go-live

Our specialists validate and test the trained models and then deploy them into the production environment.

FAQ

What is SAP HANA Predictive Analysis Library?

Imagine that the SAP HANA database you use is a big corporate headquarters where the data are the working employees. In the case of traditional analytics, you have to send the employees (data) to another, separate building to make calculations, which is time-consuming and not that effective. SAP HANA PAL becomes a data science laboratory within the headquarters: you don’t have to organize data movements, because you receive all the calculations and immediate insights where the data resides.

Does utilizing the predictive models of SAP HANA Predictive Analysis Library overload database resources?

With the right setup, you can handle complex workloads without affecting general performance. However, algorithms such as hyperparameter search can sometimes consume more memory and CPU. To avoid issues, we recommend allocating computing resources in a dynamic way and following Workload Management policies.

As SAP experts, can you name several best practices to ensure SAP HANA PAL’s better performance?

We adhere to SAP-recommended best practices, such as:

Preparing and optimizing data before applying predictive models.
Avoiding NULL values, using suitable table structures, and applying store parameters in temporary tables.
Eliminating the creation of extra output tables in case there’s no result export in PMML format.
Trying several parameter settings for balancing between speed and accuracy when applying certain algorithms.

These recommendations provide guidance on keeping things organized and avoiding performance bottlenecks. You can see for yourself how we apply them when working on your project.

Which LeverX specialists will be working on my SAP HANA PAL project?

We provide SAP consultants, business analysts, engineers, and data scientists to cover strategic and technical project goals. You can discover the examples of our work with SAP data and analytics in our portfolio.

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An expert will reach out to you to discuss your specific needs and requirements.
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We'll sign an NDA to ensure any sensitive information is kept secure and confidential.
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We'll work with you to prepare a customized proposal based on the project's scope, timeline, and budget.