In naming SAP a leader in predictive analytics and machine learning (PAML) solutions in its latest report, Forrester says SAP is in a unique position in the market, providing extensive data tools for both data scientists and data citizens and drawing “a straight line from predictive models to business applications”.
In The Forrester Wave: Predictive Analytics and Machine Learning Solutions, Q1 2017, Forrester says, “SAP offers comprehensive data science tools to build models, but it is also the biggest enterprise application company on the planet. This puts SAP in a unique position to create tools that allow business users with no data science knowledge to use data-scientist-created models in applications. SAP’s solution offers the data tools that enterprise data scientists expect, but it also offers distinguished automation tools to train models.”
“SAP has a strong predictive analytics and machine learning foundation with SAP BusinessObjects Predictive Analytics and SAP HANA, but we’re not resting on our laurels,” said Michael Flannagan, senior vice president, SAP Analytics.
“We continue to invest heavily in our portfolio of machine learning technologies, ensuring our customers have the latest capabilities that can be integrated into their business applications and processes … expect a wide range of innovations coming from SAP in the next 12 months,” he said.
Forrester previously predicted the PAML market will experience a 15 per cent compound annual growth rate in Forrester Data: World Business Intelligence and Analytics Software Forecast, 2016 to 2021.
In its latest report, Forrester identifies seven key criteria to look for in a predictive analytics and machine learning solution: drive data scientist productivity, accommodate citizen data scientists, include multiple model deployment methods, provide sophisticated model management, expand to Apache Spark, allow polyglot programming, and build the foundation for AI and invest in deep learning.
“In our view, Forrester’s evaluation criteria does an excellent job of setting aside hype and marketing to focus on the practical application and resulting business benefits of Machine Learning,” said Flannagan.
“This need to separate fact from fiction is why we rely on Yelp for restaurant reviews and TripAdvisor for choosing a great hotel. It’s also why many of us rely on research from independent firms such as Forrester for help evaluating the field of companies in a technology area … separating great marketing from great products that deliver business results,” he said.
Forrester’s research names both leaders and strong performers, using a set of 23 evaluation criteria, divided into current offering, strategy and market presence.