According to a new e-book from SAS, its time to be “out in the open with analytics” — that is, open source. The new report explores the potential of combining the benefits of SAS software and open analytics.
Download the full e-book.
It explores how businesses can open their analytics program to all types of programming languages and all levels of users, while still ensuring consistency across models and resulting actions no matter where they initiate in the company.
SAS contends that with today’s analytics technologies, the conversation about open analytics and commercial analytics has changed. It’s no longer an either/or discussion.
Instead, the e-book states, “You can now combine the benefits of SAS and open source analytics technology systems within your organization.”
To fully understand this assertion, think about the entire analytics life cycle, including data preparation, deployment, performance, scalability and governance — in addition to algorithms.
According to the e-book, within that full cycle their is a role for both open source and commercial analytics. The report offers this current technology example: Machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
The e-book begins by asking this question: What if we stopped arguing over which analytics software is best, and decided instead to use them all? Today’s data scientists stem from all sorts of backgrounds, and if they have access to a variety of analytics tools — with a system to govern and deploy models consistently — they have more options for solving complex problems.
To help prove this point, SAS brings up the example of the computer game World of Tanks, which has made billions in the gaming industry, even though many players have never paid to play the game. How? It all comes down to data, SAS pointed out, and then using this data to run models to retain customers, cross-sell other games, convert players into paid users, monitor the player journey and reduce friction points in the games.
With business units playing a stronger role in corporate strategic decisions, and with core development projects moving so much faster than before, the move toward open source for analytics starts to make sense. — SAS
SAS also looks to answer common questions through an interview included with Jeremy TerBush Senior Vice President of Analytics at Wyndham Destination Network, that explores topics like switching from open source technology to enterprise software and the benefits of using both.
The report also covers how open source is gaining momentum in the new world of analytics, and learn from Navistar’s experience, as Gyasi Dapaa Director of Data Science Navistar, discusses the coexistence of open source and enterprise software in a data scientist’s world.
The new e-book covers the following chapters:
- Keeping an open mind about open analytics
- Industrialized modeling helps free-to-play video games earn big profits
- 5 questions about open analytics
- Open source momentum in the new world of analytics
- Open for business
- Analytics for all, all in on place
Download the e-book from SAS, “Combining the Benefits of SAS and Open Source Analytics,” to learn how organizations in many industries are using open source analytics and SAS, getting the most from both, and what role SAS plays throughout the analytics life cycle.