Arm Treasure Data Reviews

The best about the platform is its focus on real-time processing of data, which helps quickly adjust to changing market conditions.

It is good but it is a bit pricey for small businesses. initially, it isn't easy to understand the platform to use it at its potential.

Real-time analysis was not possible because of this platform it has become easy to have real-time analysis and make decisions according to the dynamic market conditions.

Treasure Data Customer Data Platform stands out for its impressive scalabiltiy unified data management, seamless integration capabilities. It makes are data management handling very easy for us. Customer support do their job perfectly.

The learning curve is little difficult to understand as a new user. And the Integration was bit confusing for us. Pricing can be an issue for some small business.

Treasure Data Customer Data Platform solves the challenges of scattered customer data, scalability issues. It help us to get useful insights about our business, which helped us to grow our company.

Treasure Data Customer Data Platform helps create comprehensive customer profiles and it also enables effective segmentation. And the interface is also super easy to use.

In the very beginning, we find it challengingto customizethe platform to our business needs without technical knowlegde. and the data quality was not up to mark, the data needs to clean and well structured.

As a data driven company, data is the most important thing for us. Treasure Data Customer Platform help us to manage that data, to get proper insights of our business. and the segmentation of the data is very helpful for us to reach out each and every customer of ours.

The thing which I Like about it that can collect all my data of all platform through it. Which helps me in getting the insights about my busniess. It also has great customer support and training. And its super easy to use.

Things I dislike was the integration was little difficult for us, and it was expenses for us as well.

Early we used to face the problem to understand the customer behaviour on our website. But when we started using Treasure Data's CDP Platform it help us in analyze, and use customer data to improve their marketing and customer service.

The best thing about Treasure Data Customer Platform is that it unites operations, service, sales, and marketing teams around the same unified customer profiles.

There is nothing I dislike as such about the Treasure Data Customer Data platform or have faced any of such difficulties.

We had problems in finding out what customers are actually doing on our website and that is where this platform helped us in efficiently tracking and giving us insight data.

Easy access to data with connectors. Schema Auto-detect. Data validation with respective source makes it easy in the activation template. Workflow seggregation are easy to track what is acutally required.

When hitting workflow its taking time to load. On click run on workflow it could be better if we can see latest run automatically. Currently we need to manually refresh to see the latest run.

We are working on customer data to solve data mismatch and fetching data for bussiness requirement using sql. And executitng workflow to achive customer requirement.

Treasure data is the best independant platform to date :

- From data aggregation perspective : the ability to collect the data from the website through owned pixel is great, the native connector enables collections from top ressources

- From data processing and 360° customer view : you can use onshelf algo or build your own

- From activation processing : the audience x segment builder is great to build a shared template

The independance comes with the necessity to integrate with the martech ecosystem ( versus integrated CDP ).

The tool require integration team which would be recommended to be external versus internal

Building a 360° customer view from online and offline customers (stores) and reselling network). The core issue is the ability to have the perspective of what is the customer doing with the brand + estimating future revenue (CLTV forecast with ML models)

Treasure Data CDP is a robust customer data platform that offers a range of features and benefits to businesses.

Some users may find that Treasure Data CDP has a steep learning curve, especially if they are new to customer data platforms or data management in general. The platform offers a wide range of features and functionalities, which can take time and effort to fully understand and utilize effectively.

Many businesses struggle with fragmented customer data spread across multiple systems and departments. Treasure Data CDP solves this problem by integrating data from various sources, such as websites, mobile apps, CRM systems, and more. By unifying data in a centralized platform, businesses can gain a comprehensive view of their customers, enabling better insights and decision-making.

Treasure Data is a crucial tool to unify and organize customer data and make it accessible across the organization. With the platform we have been able to develop a 360° view of our customer and expand data usage to enable more relevant connections with our customers within CRM, Media, Websites and other touchpoints on the Ecosystem.

Data exploration and visualization features could be more user-friendly for those who are not familiar with logic, however as a product that keeps evolving I am assured these features will shortly be optimized.

Synchronize and have a single source of truth for customer data, besides accelerating data democratization within the company.

Treasure Data is the only Enterprise CDP in the market that allows engineers to build their own custom logic and transform their data on the fly. AI / ML Capabilities of the product are unmatchable.

The learning curve is there. Users may take time to learn to use the platform. Lots of commonly used systems and are not having OOTB connectors. The reporting capabilities are not up to the mark.

Treasure Data CDP has been deployed for our customers. The primary goal of deploying the CDP was to build the C360 profile. Stitch the disparate sources and break the silos.

Marketing use cases like customer acquisition , suppression, look-alike modelling are few of the use cases deployed.