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SAP HANA for Data Analytics

As the boom for Digital Transformation, AI & IoT is growing Multifold, so is the need of effective extraction of meaningful insights. What is clear is that data science is solving problems. Data is everywhere, and the uses we are making out of it (science) are increasing and impacting. Let’s understand what Data Science is all about and how effectively SAP services can be used for the same.

What is Data Science?

Data Science is an interdisciplinary field about processes and systems that enable the extraction of knowledge or insights from data. Data Science employs techniques and theories drawn from a wide range of disciplines such as Information Science, Statistical Learning, Machine Learning etc to build insightful result, trends and aid discussion making.

There are different Data Science solutions available from SAP, let’s take a look at SAP HANA in this blog.


HANA is the most trusted Predictive Application and performs in-memory data mining and statistical calculations which generate large datasets in quick time for real-time analytics.

In-Memory Database

HANA allows data analysts to query large volumes of data in real-time. HANA’s in-memory database infrastructure frees analysts from having to load or write-back data. HANA’s columnar-based data store is ACID-compliant and supports industry standards such as structured query language (SQL) and multi-dimensional expressions (MDX).

Rage of Algorithms

With wide range of algorithms that are available in HANA to do various Analysis like Association, Classification, Regression, Cluster, Time Series, Probability Distribution, Outlier Detection, Link Prediction, Data Preparation and Statistic Functions, SAP HANA offers to identify unforeseen opportunities, better understand customers, and uncover hidden risks.

Real-time Analytics

HANA also includes a programming component that allows a company’s IT department to create and run customized application programs on top of HANA, as well as a suite of predictive, spatial and text analytics libraries across multiple data sources. Because HANA can run in parallel to a source SAP ERP application, analysts can access real-time operational and transactional data and not have to wait for a daily or weekly report to run. You can integrate R with SAP HANA and standalone.

In our further blogs, we will high-light other capabilities of SAP HANA for your businesses


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Michael Picco

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