company

SAP HANA as a Predictive Analytics Platform
SAP HANA was introduced in 2010 as a truly
“in-memory” database and computational platform.
Its ability to implement execution engines
that can operate on data in-memory enables it
to offer multiple predictive capabilities and offer
them concurrently. The platform has steadily
added newer native onboard capabilities such
as text analysis, geospatial computation, and
predictive analysis.
Today, a single data platform can support the
different predictive needs of business analysts,
data scientists, and even application developers
in an organization. The predictive engines of
SAP HANA are implemented at the application
function library (AFL) layer, which enables
almost any other process to use or embed
these predictive capabilities with minimal effort
(see Figure 7).
Figure 7: Logical View of SAP Predictive Analytics with SAP HANA
SAP® Predictive Analytics
Automated analytics Expert analytics Model management
Software development
kit and APIs
SAP HANA®
In-memory processing engines
Predictive applications
25+ industries and 11+ LoBs
Third-party data
sources
Predictive
analysis library
Text
analytics
Automated
predictive
library
Spatial
analytics
R scripts
Graph
1 2 3 4 5
1. Financial and insurance services
2. Retail and consumer products
3. Telecommunications
4. Public sector and healthcare
5. Oil and gas, manufacturing, and utilities
Relational
databases
CRM/ERP
data
sources
Big Data
sources
Custom
data
sources
Any data source
On premise, cloud, and hybrid
Legend
API = application programming interface
LoB = line of business
CRM = customer relationship management
ERP = enterprise resource planning
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