SAP Customer Data Solutions vs. Treasure Data

It's best suited for business business to turn digital interaction in to richer and high value and experience that reach across computing platform also it offers a holistic and integrated approach to managing customer data and enhancing and personalized experience.it also draw actionable insights.because it offers wide range of products . perfect customer insight data solutions

Incentivized

Any time you need to process and store very large volumes of data at scale, Treasure Data will aways be at the forefront of my mind. Especially if the data being handled is constantly changing or evolving, rigid schemas just wont do. Treasure Data has the ability to adapt as your product needs change over time. Having the storage and processing flexibility is a huge win.

Incentivized

• The CIAM solution offers a single point of collections for registered users, streamlined on all websites configured
• Social access is made easy since it's handled directly by the CIAM and supports more than 50 social networks
• GDPR and similar laws are handled out-of-the-box

Incentivized

• CDP provides a unified view of data from all touchpoints in the customer journey until a single customer uses the service. This feature is very helpful in making service decisions and direction.
• It provides a variety of extensions to bring your data together in one place and helps you do this easily.
• Kits provided by Treasure Box provide basic but helpful methods for further development of services.

Incentivized

• I find the interface a bit complex and challenging to navigate. I remember having difficultly grasping it completely especially when I was new to the system. Simplifying the user experience would make it more accessible for everyone, making tasks quicker and more intuitive.
• integrating it seamlessly with other software and platforms could enhance its functionality. I would really really love an integration between BenchMark email marketing tool.

Incentivized

• Pricing is a bit of a black box. We are currently priced on split hour usage and some spikes come out of nowhere and leave us seeking answers (and sometimes finding unsatisfactory ones).
• Some jobs will fail, causing workflows to be interrupted due to a product change or a one-time product related issue. We usually contact Support in these cases, and while they are incredibly responsive and helpful, it would be great to have more proactive communication.
• Treasure's UI leaves us wanting more in terms of organization and controls, especially as we scale and grow the number of data sources, queries, and workflows.

Incentivized

We use SAP CDC since it was Gigya and not a SAP solution. In these years, we only lost one customer, all others are happy with this solution and how we integrate it.

Incentivized

Because treasure data is a great platform with a great support team behind, it's a scalable solution that deals well with huge amounts of data every day and has a huge catalog of integrations that can be easily use to download data from several platforms, like aws s3, redshift, google bigquery.

Incentivized

We mostly work with the API which is of very good quality and is well documented.However, some of our success is also due to having very talented developers on staff, and also understanding advanced gamification design. The tool supports a talented team! It won't actually do everything for you automatically.

If you are a data person, you will likely understand the product and how to use it well. We did find that some of our queries run into memory issues though. If you are a marketer and want to build easy audience segments, I am not sure how easy it will be for you. We are still working through this.

Incentivized

The platform pulls data from multiple sources, cleaning, and restructuring it allowing us to expand our growth opportunities by providing highly tailored suggestions on each page for our visitors which made it tremendously simple for us to provide rich and customized experiences to our visitors in the best way possible.

Incentivized

As treasure data has a 24 hours support, every time we has big issues that impacts the zones, we do have immediatly support from the treasure data team, so I would say that we do not have any issues with availability

Incentivized

There are some latency issues. The 24 hour caching problem mentioned earlier is a problem. Sometimes the Gigya system makes two calls instead of a single call if we go directly to the social platform. For this reason, it's sometimes more efficient to go direct rather than use Gigya.

Since treasure data has started having a huge amount of data, sometimes we do have problems with the workflows logs because we generate a lot of then. But with integrations I have not to complain, its really easy to integrate with other platforms.

Incentivized

We have had multiple instances of help from Gigya to get our custom implementation working, including detailed technical assistance to a third party. We have found Gigya to be thorough and timely in their responses to all queries, which are consistently excellent.

The technical team has a good hold on the nuances of the data related to our organization. I have found the online technical support on their site quite responsive including the L1 support. In cases where the L1 team isn't able to resolve, I have found they are prompt in getting the product team's input to get a quick resolution.

Incentivized

because it was made directly in the company

Incentivized

I was not here when treasure data was implemented to our company.

Incentivized

They trained me in a train the trainer model. I then trained the internal team. Total training was about two hours, with an additional two hours for system setup.
Training was maybe a little thin, but the system was fairly easy to learn and this wasn't really a problem.

I wasnt here at the training in the start, but I had a few training with treasure data for a few functionalities, and they provided me god explanations and great documentations, eve if the project were in beta.

Incentivized

There was a bit of a learning curve in the beginning, and perhaps we were unclear on some of our requirements. Once they figured out what we wanted though, things went pretty smoothly. Just some minor hiccups in the beginning

Implementation was quick and our developers had very few issues with the SDK.

Incentivized

SAP CUstomer Data Solutions is far superior to ASAP FOODZ in all aspects. Customer support, reliability, staff engagement, customer satisfaction, etc are all better. Customer Data Solutions is hands down better than any other data solutions software that we've used. I highly recommend customer data solutions to anyone that may be considering it.

Incentivized

Both Tealium and Evergage are mostly focused on online sources. They don't have as easy or robust data model capability to ingest CRM, e-commerce, or offline data. Bluevenn has good identity resolution like TD, but the Unify data processes/model are not exposed to the customer to modify or develop data load workflows.

Incentivized

because the platform actually allows you to scale at any time if designed following best practices

Incentivized

In abi we do have a lot of data coming every day, so treasure data always give us god solutions and options that would fix the problem.

Incentivized

• We've been able to curate highly targeted marketing campaigns that resonate with our audience and have improved customer engagement and conversion rates.
• Using insights from the software, we refined our marketing plans and campaigns for better impact.
• Our marketing strategies were enhanced through our seamless integration with other marketing tools and platforms, promoting efficiency and accuracy in our marketing initiatives.

Incentivized

• When there are Treasure Data updates, there might be old functions that are deprecated or existing functions which no longer work as before --> this may have impact on existing workflows/queries
• As many developers are working on the same environment, the jobs are queued because there is a limited amount of computation cores available --> if we want to increase it, our client needs to pay for more cores
• As data are increasing, some workflows are too expensive and need to be rethought / made more efficient --> this means re-designing existing workflows and also requires constant support from Treasure Data which analyzes the queries and identifies points of improvement that allows client to pay less

Incentivized