Data 360

What do you like best about the product?

Native Salesforce connectors and Zero Copy/BYOL let us link Snowflake, Databricks, Redshift, and BigQuery without duplicating data.

What do you dislike about the product?

Steep learning curve: the data mapping and Data Stream configuration interface can feel overly complex and a bit hard to navigate for non-experts.

What problems is the product solving and how is that benefiting you?

We struggled with fragmented customer data spread across multiple systems (Sales Cloud, Service Cloud, and external data warehouses), which made it difficult to get a unified, real-time view of our customers. With Salesforce Data 360, we didn't need to modify or duplicate the source data at all: instead, the platform creates a relationship model that links records together and stays continuously synchronized with the source systems. Combined with Zero Copy/BYOL to connect directly to our Snowflake data lake, this has resulted in faster segmentation, more consistent customer profiles across teams, and reduced time spent on manual data reconciliation, all while keeping our source data intact and trustworthy.

What do you like best about the product?

Profile unification, zero-copy integrations, and Agentforce groundwork capabilities.

What do you dislike about the product?

There is still room for improvement with data cloud deployments. I encountered few challenges using Data kits.

What problems is the product solving and how is that benefiting you?

Faster implementation and simpler UI. Integrating between various systems is made too simpler and usage based pricing is cherry on the cake.

What do you like best about the product?

Easy to set up connections with multiple external systems, unify data in one place, and quickly segment and activate it across multiple systems.

What do you dislike about the product?

Too many product issues. First, once fields are created in a datastream, we cannot delete them. Second, the error descriptions are not clear. For example, when trying to remove a field on the DLO, it lists a bunch of things to check (e.g., IR, Segments, Datagraph, etc.), but instead it should show the specific places where the field is actually being used. Third, many times it throws a system error without a proper message, such as: "Unexpected error, contact system administrator."

What problems is the product solving and how is that benefiting you?

Our client is an NGO, and they were struggling to figure out how to send acknowledgements to donors who had donated through various channels, partners, and other sources. Now, with the Data Cloud, we are ingesting data from multiple sources, unifying donor profiles, and sending acknowledgements for each donation.

What do you like best about the product?

Data 360 helped us unify customer profiles and activate that data immediately across Salesforce applications. It strengthened our identity resolution capabilities, enabled zero-copy data access and data federation, and provided a solid foundation for AI-powered insights and experiences.

What do you dislike about the product?

It took some time to get into at first, but once I did, I was completely engaged.

What problems is the product solving and how is that benefiting you?

Salesforce Data 360 has helped us solve the challenge of bringing customer data together from multiple systems into a single, unified view. Instead of working with fragmented or duplicate records, we now have more accurate customer profiles through identity resolution. Its zero-copy and data federation capabilities allow us to leverage data across platforms without unnecessary duplication, improving both efficiency and data governance. By making trusted customer data readily available across Salesforce applications, Data 360 has also strengthened our AI initiatives, enabling more personalized customer experiences, better insights, and faster, data-driven decision-making.

What do you like best about the product?

Segmentation
Identity resolution
Connectors

What do you dislike about the product?

Data cloud connectors setup steps , especially for beta
less documenttation/ video/
Recive auto reply from saleforce support

What problems is the product solving and how is that benefiting you?

duplicate records
tracking records
keep in touch with customer email automation based on segmentations

What do you like best about the product?

Data model and activation to multiple channels

What do you dislike about the product?

The UI is not friendly for new users who is new to salesforce products

What problems is the product solving and how is that benefiting you?

Data unification
Segmentation is easy to use

What do you like best about the product?

I use Salesforce Data 360 to bring in CRM Analytics datasets as DLO, which power the semantic model for Analytics Agent. It enables us to have an intelligent experience in data analytics, allowing users to ask questions directly to the agent and get insights rather than just viewing charts and tables. I really like the power of unification and reconciliation that Salesforce Data 360 offers. Additionally, transforming data segmentation and activation to Marketing Cloud works especially well. The initial setup was extremely easy.

What do you dislike about the product?

I find it challenging when using Salesforce Data 360 that it doesn't suggest which DMO to use for a particular DLO out of the box. Sometimes it gets difficult to map my DLO to an existing DMO, and having an option to get suggestions for the right DMO would be really helpful.

What problems is the product solving and how is that benefiting you?

Salesforce Data 360 enables us to have an intelligent experience in data analytics by allowing users to ask questions directly to the agent and get insights, rather than just viewing charts and tables.

What do you like best about the product?

I like how Salesforce Data 360 integrates seamlessly with Marketing Cloud, as it simplifies handling the large set of data coming in from our systems. I appreciate its ability to unify customer data from multiple sources into a single real-time profile, which connects the data from Sales Cloud and Marketing Cloud while reducing manual intervention. Although the initial setup is a bit complex, the features of Salesforce Data 360 are very interesting.

What do you dislike about the product?

I find the initial configuration should be easier as it's a bit complex.

What problems is the product solving and how is that benefiting you?

It simplifies handling large data sets, unifies customer data into real-time profiles, connects data from Sales and Marketing Cloud, reducing manual work.

What do you like best about the product?

What I like most about Salesforce Data 360 is its ability to unify customer data from multiple sources into a single, trusted profile. It integrates seamlessly with the Salesforce ecosystem, making AI, automation, and personalization much more effective. I also like how features like Identity Resolution and audience segmentation simplify complex data management while delivering real-time insights. Although there's a slight learning curve, the platform provides excellent value for organizations looking to build data-driven customer experiences.

What do you dislike about the product?

The biggest drawback is the learning curve, especially for users who are new to data modeling and identity resolution concepts. Initial setup and configuration can also be time-consuming, and the licensing cost may be a challenge for smaller organizations. However, once implemented, the platform delivers significant value.

What problems is the product solving and how is that benefiting you?

Salesforce Data 360 helps unify customer data from multiple systems, giving service agents a complete view of each customer in one place. This reduces the time spent searching across different applications, enables more personalized support, and helps resolve cases faster. It also improves automation and AI-driven recommendations, leading to a better customer experience and increased agent productivity.

What do you like best about the product?

I really like the segmentation feature in Salesforce Data 360. Once the Data Model Objects (DMOs) are mapped cleanly, building and refreshing our six customer segments is fast and reliable. The identity resolution feature is another highlight as it helped us create a unified customer view from scattered CRM data, which was our main goal. I appreciate the Calculated Insights too, even with its quirks. It allows me to derive insights like preferred product categories directly in the platform, saving me from a lot of back-and-forth. The ability for segments like VIPs, sleeping customers, and category-specific buyers to stay live without manual list-pulling for every campaign saves significant time and improves targeting. We can act on actual purchase behavior rather than guesswork, making re-engagement easier.

What do you dislike about the product?

The calculated insights SQL engine has some limitations - no subqueries, window functions, or DATEDIFF, and the workarounds like chaining three CIs together aren't documented anywhere. The initial setup isn't easy; there's a real learning curve, especially with mapping DLOs to DMOs and configuring identity resolution rules. It took a fair bit of trial and error, and these SQL engine restrictions are only discovered by hitting errors. This phase requires patience and hands-on debugging.

What problems is the product solving and how is that benefiting you?

Salesforce Data 360 solves our scattered customer data problem, consolidating into unified profiles. Segmentation lets us efficiently target based on actual behavior, saving time. Identity resolution and Calculated Insights streamline data processes, though quirks exist. Overall, it enhances our customer data management significantly.