SAP Business One Powered by HANA

Get big company performance at a small company price

SAP Business One (SAP B1) is already the preferred ERP solution of over 50,000 SMEs worldwide – but did you know that even one of the world’s best business solutions for small and medium-sized enterprises could be taken to the next level? SAP HANA utilizes In-Memory Technology to do just that.

What is In-Memory Technology?

In-Memory technology is an approach to querying data when it resides in a computer’s random access memory (RAM), as opposed to being stored on physical disks. The result? Significantly shortened query response times, allowing you to analyse massive volumes of data in real time without complicating your IT landscape. Your business intelligence (BI) improves, and you are able to make faster yet more intelligent business decisions.

What is SAP HANA?

SAP HANA is an in-memory computing platform which combines database, application processing, and integration services on a single platform. HANA amplifies your SAP B1 solution with a number of useful features.

Watch Video


Text Analytics and Search

With SAP HANA, you can perform text analysis, text mining, and text search to unlock new insights from unstructured documents. When you process both structured and unstructured data in one platform with SAP HANA, you gain broader, contextual insight for improved decision-making.

  • Text Search

    SAP HANA allows you to search for information within your system much like you would search for information on the internet through a search engine like Google.

  • Text Analysis

    HANA not only lets you quickly find obscure documents based on a few words, it is able to give structure to core entities (such as people, organizations, or dates) discovered in the text., and even classify relationships among entities for sentiment analysis.

  • Text Mining

    Text mining allows you to further refine your results by filtering content based on similarity to specific documents, frequency of terms, and so on.

Spatial Data Processing

Analyze your environment with location awareness

SAP HANA enables you to leverage location-aware data by storing, processing, manipulating, and sharing spatial data directly in the in-memory database. You are able to analyse traffic, weather and business density according to different areas. You are also able to look for revenue opportunities based on location, retailers can offer location-specific offers in order to retain high-value customers, and insurance and credit card companies can even identify potential fraud cases in disaster areas.

Watch The Video

Predictive Analytics and Processing

SAP B1 solution with a number of useful features:

Anticipate business outcomes

The ability to make sense of Big Data allows you to establish best practices for optimization, and reduce decision latency across your entire business.

  • Predictive Analysis Libraries (PAL)

    Predictive Analysis Libraries (PAL) allow you to forecast future outcomes by performing data mining and statistical calculations on large data sets in real time. You are able to implement a wide range of analysis algorithms in the areas of clustering, classification, association, probability, time series analysis, and so on.

  • R Programming

    R Programming can be used to configure the way you visualize data, import data, and even produce trading simulations.

  • Automated Predictive Analysis

    Predict and influence business outcomes – and respond to change before it happens – with predictive analytics from SAP. Combine capabilities such as predictive modeling, Big Data mining, real-time business intelligence (BI), data visualization, and more, to see what trends are emerging and where performance is headed.

    SAP Business One’s easy-to-use solutions can help you predict future customer needs, detect and prevent threats, and guide frontline decisions with forward-looking insights.



SAP B1 solution with a number of useful features:

Series Data Processing

Detect and forecast trends (lifted)

HANA allows you to detect and forecast trends in data by measuring data over time, helping you to make better decisions while saving time and money. Whether you are monitoring price fluctuations, season patterns, machine efficiency, energy consumption, or network flow, the ability to monitor data over time enables you to discover and exploit patterns to your competitive advantage (lifted).