This blog expands on the Analytics Unchained Blog Series that deals with freeing your organization from the shackles of legacy solutions like SAS. This blog will focus more on the change in the way vendors are thinking. You are starting to see more vendors like TIBCO Spotfire, Lavastorm, and Oracle starting to rely on R for their predictive analytic capabilities. They understand the shift of open source technology is making organizations rethink their investments and vendors to rethink their development cycles. This is evident as recently one of our partners, Teradata, announced their intention to fully support and embrace the ongoing rise of the R programming language through deeper partnership with Revolution Analytics and Fuzzy Logix. This is supported through Teradata’s ability to run analytics based on R with scalable parallel processing power with the Teradata database.
This supports and confirms the fact that the R programming language continues to gain traction in the marketplace and those that accept that, and actually embrace it, should find more opportunities within organizations. Organizations are starting to look for Analytics Unchained; they are breaking away from proprietary software and coding to make analytics more accessible. By combining Revolution and Teradata you are combining two of the best at what they do, making processing large R-based algorithms more scalable and utilizing the in-database analytics within Teradata equates to faster performance and greater accuracy.
At Alteryx, we rely on the R programming language for our predictive techniques, and also can easily utilize the in-database capabilities of Teradata, so this should further benefit customers and organizations that are utilizing R. It benefits them by allowing them more flexibility in running their analysis, in addition it also expands the current capabilities that they may already have in place in their Teradata environment. No longer do they have to rely on proprietary software to get their results they need. Alteryx empowers data analyst to quickly and easily access any data, do data blending and data integration, run sophisticated analytics; whether it is statistics, predictive or spatial analysis, and push that data back into Teradata or Aster, or move it between the two within the Teradata Unified Data Architecture for greater flexibility.
We are very excited about this partnership, because it supports what we are doing by relying upon the R programming language to make predictive analytics more accessible and more practical for the line of business. This partnership will now take it to the next level by making it more powerful.
Analytics Unchained Blog Series
| Part 1 – Remove the Complexity in your Analytics Software Cost |
| Part 2 – Different Analytic Challenges Don’t Require Expensive Software |
| Part 3 – Buy What You Need, Not What They Want to Sell You |
| Part 4 – Analytics Unchained: Teradata and Revolution |
| Part 5 – Pay for the Results, Not for the Luxury |
| Part 6 – R You Ready to Improve Your Analytics |
| Part 7 – Analytics to the Masses |
| Part 8 – Analytics Comparison: Alteryx vs. SAS |
| Part 9 – What is the True Cost of your Analytics Solution |
| Part 10 – Improving your Analytic Outcomes Over SAS |
Matthew Madden
Sr. Product Marketing Manager
