2
I S G C o n f i d e n t i a l . © 2 0 2 1 I n f o r m a t i o n S e r v i c e s G r o u p , I n c . A l l R i g h t s R e s e r v e d .
I S G B R I E F I N G N O T E S | A P R I L 2 0 2 1
Table of Contents
Introduction
Enterprises that migrate their SAP solutions to Amazon Web Services (AWS) can
explore new ways of handling data, incorporating many external data sources and
using advanced analytic tools to extract greater business value. Cloud technology
replaces legacy file servers, datamarts and data warehouses, often obsolete and
ineffective, with a scalable, intelligent and agile solution. At the base of this
transformation are data lakes, the foundation on which artificial intelligence and
machine learning are applied to enhance the intelligent enterprise and enable data -
driven digital businesses.
Summary and Key Takeaway
03
Perspective/Briefing Notes
03
Parameters for Data Lakes Adoption
05
Summary Facts
08
Associated Research
09
ISG Placements and Recognition
09
Net Impact
08
