Very powerful multi cloud platform to prepare data for artificial intelligence.
January 29, 2024

Very powerful multi cloud platform to prepare data for artificial intelligence.

Ryan Tamez | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Cloud Pak for Data

IBM Cloud Pak for Data enabled our organization to shrink the time it took to validate a product idea from months to days by removing the bottleneck within our analytics team to meet the surging demand for big data analysis across the company. We use it to audit our various data sources, allowing us to identify where we have data quality issues and gaps so we can quickly address them so as not to impact the user experience.
  • Accelerated ad hoc data exploration and analysis.
  • Seamlessly connects data by consolidating the disparate sources.
  • Supports AI-driven insights.
  • The range of features and tools may require a learning curve.
  • Reduced time to deploy production data pipeline from six months to three weeks.
  • Four times more projects completed in the past quarter.
  • Increased the amount of ad-hoc analysis done six-fold.
This service works seamlessly and allows for secured connections with various data sources. It's efficient for parallel/distributed data processing and advanced data model building. It is pre-configured and has a very highly optimized data environment, which speaks for itself and provides high performance.

Do you think IBM Cloud Pak for Data delivers good value for the price?

Yes

Are you happy with IBM Cloud Pak for Data's feature set?

Yes

Did IBM Cloud Pak for Data live up to sales and marketing promises?

No

Did implementation of IBM Cloud Pak for Data go as expected?

Yes

Would you buy IBM Cloud Pak for Data again?

Yes

It is a great tool to enable teams from Engineering, Product Management, and QA to perform complex data analysis on their own. It is capable of integrating data from disparate data sources while being fast enough to support interactive analysis at a terabyte scale. The platform is very helpful for machine learning and data science use cases.