The OneTrust Privacy Automation solution is used to simplify compliance, improve operational efficiency, and enable risk-informed decisions.
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SAS Data Management
Score 8.0 out of 10
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A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.
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 …
When we started looking at privacy management tools, OneTrust stood out in its ability to streamline compliance globally where it's not just siloed to one department or one location. The convenience of OneTrust is that it is very flexible and the beauty of the platform is how …
OneTrust has outstanding policy management, which equips every employee with the right direction in terms of understanding and compliance. Further, the scanning of the website remains vital and resourceful, as it gives proper management of the cookies. Again, OneTrust the …
OneTrust was the chosen platform after an extensive evaluation process that commenced with RFPs (Request For Proposal) issued to about 30 companies with similar services.
We evaluated Clarip, but it is not showing up on this list. It is a similar solution to OneTrust but provides a much more broad scope including full automation of processes to delete and access customer information based on requests. They were exponentially more expensive than …
The product is best when combined with the other products of the SAS suite. In particular, it's great for the preparation, analysis and display of the data if it is carried out with the products indicated above. When it is combined with products other than those of the SAS …
SAS Data Management Platform requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres. Has almost all features present as compared to the alternatives we evaluated. On top of it, SAS offered statistical transformations and strong metadata …
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end …
Datastage might be the closest one. Being a full ETL tool, it's weird to compare both. Datastage might be more robust for extraction but it lacks the simplicity that the end users need for everyday data extract and analysis.
SAS/Access can work well with MySQL. There are some coding differences between the two, for example how missing values are handled or rules for variable names. MySQL has simpler coding, but if you are familiar with Base SAS, it is not too difficult to learn. With SAS/Access the …
SAS integration is not easy because there are various PAM related modules which require additional vendor involvement. Overall once all integrations are set up, it's a great tool and provides multiple options to users for running their model.
OneTrust offers the monitoring, the assessment, and the verification process of data, a formal way of ensuring the results outlined are correct, understandable, and confined. Besides, the policy and the website scanners from OneTrust are incredible, virtual, and concrete. Besides, OneTrust outlines the risk management options, with the customer mapping and taking the required assessments. Lastly, websites and cookies are efficiently scanned and made efficient for concrete business management.
SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.
SAS supports the main database connection options that allow you to optimize the performance of your extracts and loads.
Simplicity of the syntax for a basic connection.
Ability to configure by an administrator in a BI environment so that all users can benefit from the connection without having to establish it by themselves.
It is a versatile product but sometimes difficult to use due to the very close link with the proprietary programming language where specific knowledge is required.
Compared to competitors on the market that offer the same functions for the integration perimeter, it is certainly very expensive.
It is very simple to use when combined with products from the SAS suite, less so it is being used stand-alone or integrated with other well-known brands.
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
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.
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.
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.
With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
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.
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end that allows us to transform and load our data quickly and efficiently programmer time wise.
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.