Join us as we delve into the cutting-edge world of multivariate time series forecasting in BigQuery ML. Its newfound capabilities are driving significant improvements in industries reliant on accurate forecasting. Unlock the future of your business predictions today.
Keywords: BigQuery ML, time series forecasting, multivariate time series, ARIMAPLUS model, ARIMAPLUS_XREG model, feature engineering, conversion volumes, forecasting, machine learning.
Up until working with Casey, we had only had poor to mediocre experiences outsourcing work to agencies. Casey & the team at CJ&CO are the exception to the rule.
Communication was beyond great, his understanding of our vision was phenomenal, and instead of needing babysitting like the other agencies we worked with, he was not only completely dependable but also gave us sound suggestions on how to get better results, at the risk of us not needing him for the initial job we requested (absolute gem).
This has truly been the first time we worked with someone outside of our business that quickly grasped our vision, and that I could completely forget about and would still deliver above expectations.
I honestly can't wait to work in many more projects together!
![The ‘Giveaway Piggy Back Scam’ In Full Swing [2022]](https://www.cjco.com.au/wp-content/uploads/pexels-nataliya-vaitkevich-7172791-1-scaled-2-683x1024.jpg)
Disclaimer
*The information this blog provides is for general informational purposes only and is not intended as financial or professional advice. The information may not reflect current developments and may be changed or updated without notice. Any opinions expressed on this blog are the author’s own and do not necessarily reflect the views of the author’s employer or any other organization. You should not act or rely on any information contained in this blog without first seeking the advice of a professional. No representation or warranty, express or implied, is made as to the accuracy or completeness of the information contained in this blog. The author and affiliated parties assume no liability for any errors or omissions.
