IBM Cloud Pak for Data vs. OneTrust Privacy Automation

IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.

Incentivized

I strongly recommend it for general management of personal data privacy programs and risk and contract management, it complies with all major world legislation in addition to being easy and fast. Not recommended for data discovery still requires refinement.

Incentivized

• Increases our impact by combining BI skills with advanced analytics and machine learning in an easy to use visual interface.
• Visualization and reporting.
• Rapidly provides business -ready data to all users equally.
• Manage data spread across distributed stores and clouds.

Incentivized

• Reputable website scanner, which verify and screen the traffic.
• The data mapping from OneTrust is another merit, very articulate.
• OneTrust offers the required assessment automation, very outstanding.
• Finally, OneTrust has the breach scan, and incident response.

Incentivized

• Cannot save changes to some secrets in the internal vault
• Sign-in issues on environments where IAM is enabled
• The Enforce quotas option is disabled

Incentivized

• There are irritating inconsistencies in the user interface between the various modules
• Reporting capabilities are limited
• The platform does not reveal its secrets easily. You will be rewarded if you can allocate a team member to specialize on the platform.

Incentivized

We have used a shared hosted tenant managed by OneTrust for over three years with only one instance of a lengthy (4+ hours) unexpected outage which happened years ago.

Incentivized

We selected a European hosting location based on our initial use case, however, our usage of the OneTrust platform has expanded globally to where the majority of users sit in the Americas or Asia-Pacific regions. There is a noticeable lag when navigating the platform for users located far away from the hosting location.

As a user, you can mitigate any sluggish response time by the aggressive use of multiple browser tabs. I commonly have one tab open on an Inventory detail screen, another tab on an Assessment window, and maybe another tab on a customized inventory list screen. If one tab is slow I hop to another tab and work on that tab while the first tab responds.

Incentivized

Both our customer rights access and cookie consent advisors were responsive and helpful in getting us trained on using the platform and the various assets implemented on our website. We had multiple training sessions that were more than enough in getting all of the users on our team familiar with what we needed to do.

Incentivized

An implementation specialist worked with us remotely during our initial deployment. Due to the diverse geographic locations of my organization's participants, the implementation and training had to be done remotely (this was before COVID-driven remote work).

The implementation specialist was knowledgeable and helpful but to really get full benefit from the platform I encourage organizations to dedicate a specialist within your company to really study and learn the platform.

Incentivized

IBM Cloud Pak for Data takes the IBM Cognos solution and provides this on an enterprise cloud platform that can be extended to support better data integration and data science capabilities.

Incentivized

First, when we compare OneTrust Privacy and Data Governance Cloud to the software I mentioned above, OneTrust Privacy and Data Governance Cloud software was way more affordable than the other 2. Also, along with the other 2 software, OnTrust was one of the most user friendly tool/software we've ever used.

Incentivized

The platform has exceptional capabilities to customize the user interface, reports, and recorded information. In most cases, the customization can be compartmentalized so that if the customization performed for Department A is determined to not impact Department B, the customization can be hidden from Department B.

We have four different departments using the IT Risk Management module. Three departments share their work in what we call the 'shared data risk management zone'. Another department is using IT Risk Management for a bespoke portfolio risk management task, and the customization for this department is largely hidden from the other departments.

Incentivized

• We have the ability to access all our data much quicker through the unified search option.
• 30% increase in productivity through the introduction of AI.
• Improved data security and governance.

Incentivized

• Populates metadata into a centralized and easily searchable data catalog.
• Ensures data regulatory requirements are understood.
• Orchestrates data governance activities.
• Monitors and flag violations across our data ecosystem.

Incentivized