My main use case for SAS Customer Intelligence 360 is to create one-stop solutions for all customers' data together, which means that a customer may take multiple products and interact with multiple channels. To get all this master data information together, I create a 360-degree view of customer interactions for any organization and I am proficient in it. I have implemented my main use case for SAS Customer Intelligence 360 in a very effective way to achieve big performance gains. The performance is the key, and the major focus has been on the data model. I have verified with the business what key columns they are using and I have compiled all key columns into a tabular collection, ensuring that there are no joins involved even if they come from different areas or tables. At the end of the day, when they are consumed, they are presented as a single character. This approach avoids joins, enhances performance, and that is the beauty behind the tremendous performance we achieved. Additionally, I employed indexing, inverted index fundamentals, and various methodologies to enable faster retrieval. Another aspect is that not all columns need to be placed into the central tables. When collaborating with the business, I included only those columns that are retrieved by 90 percent of users, placing the remaining columns into another table. If secondary details, such as a second address or secondary phone number, are needed, a join in the secondary tables is required to get a response back.
Agriculutural Officer. at Sarabi Farms & Holticultural Ltd.
Real User
Top 20
Jul 28, 2026
SAS Customer Intelligence 360 is our main platform for perfecting the way we engage with our clients and revolutionizing the entire customer engagement journey to ensure it runs perfectly and becomes a success. The platform has helped us move from being just a communication platform and enabled us to dive into analytics, customer segmentation, and ensure that we engage and cooperate on a mutual basis to maximize the efficiency and efficacy of our customer process journey. I can provide an example of a project where we are testing a new product into the market using SAS Customer Intelligence 360. We are a farming and horticulture company, and we test new varieties of products that are either produced by ourselves or bought from clients and later sold directly to other clients. In this case, we had a niche target customer for our products, and we needed to approach the customer in real-time and ensure that we offer personalized engagement that would attract the client to what we were selling. By applying SAS Customer Intelligence 360, we were able to personalize the entire campaign and ensure that we secured contracts for selling our products to these clients for a number of years. The engagement was mutually beneficial and mutually productive. Additionally, we use SAS Customer Intelligence 360 for customer follow-up. When a client starts with us and sometimes drifts away along the way without a platform to help monitor our progress in following up, we tend to lose track and the client moves away. With SAS Customer Intelligence 360, we are able to engage in real-time follow-up and correct errors on our side, allowing us to have the customer onboarded and fully immersed in a mutually beneficial way where we work together to deliver and provide what we have agreed to work on.
My main use case for SAS Customer Intelligence 360 is orchestrating our customer data and personalization, as we are an agency. A specific example of how I use it for orchestrating customer data and personalization is that we have clients from different tiers that we divide them, which helps us manage the relationship with our customers and track and review the end-to-end customer journeys. Regarding my main use cases, I also use it to unify client data, build customer profiles, and create segments in terms of high-value clients, new clients, and lower-paying clients, so that feature is helping us to be organized internally.
I use SAS Customer Intelligence 360 for customer engagement and personalized marketing campaigns. I segment customers based on behavior, preferences, and interactions, delivering targeted communications through various channels. For instance, when customers interact with our website or application, I analyze their behavior using SAS Customer Intelligence 360 and categorize them into audience segments. Personalized marketing messages or offers are then delivered based on these segments, enhancing customer engagement and campaign effectiveness.
Learn what your peers think about SAS Customer Intelligence 360. Get advice and tips from experienced pros sharing their opinions. Updated: August 2026.
SAS Customer Intelligence 360 provides advanced analytics and marketing automation to deliver personalized customer experiences. It integrates data and insights, allowing businesses to connect with their customers effectively and drive growth. This comprehensive solution offers analytics-driven marketing, enabling companies to craft targeted campaigns with precision. By leveraging unified data across channels, SAS Customer Intelligence 360 optimizes customer interactions for improved...
My main use case for SAS Customer Intelligence 360 is to create one-stop solutions for all customers' data together, which means that a customer may take multiple products and interact with multiple channels. To get all this master data information together, I create a 360-degree view of customer interactions for any organization and I am proficient in it. I have implemented my main use case for SAS Customer Intelligence 360 in a very effective way to achieve big performance gains. The performance is the key, and the major focus has been on the data model. I have verified with the business what key columns they are using and I have compiled all key columns into a tabular collection, ensuring that there are no joins involved even if they come from different areas or tables. At the end of the day, when they are consumed, they are presented as a single character. This approach avoids joins, enhances performance, and that is the beauty behind the tremendous performance we achieved. Additionally, I employed indexing, inverted index fundamentals, and various methodologies to enable faster retrieval. Another aspect is that not all columns need to be placed into the central tables. When collaborating with the business, I included only those columns that are retrieved by 90 percent of users, placing the remaining columns into another table. If secondary details, such as a second address or secondary phone number, are needed, a join in the secondary tables is required to get a response back.
SAS Customer Intelligence 360 is our main platform for perfecting the way we engage with our clients and revolutionizing the entire customer engagement journey to ensure it runs perfectly and becomes a success. The platform has helped us move from being just a communication platform and enabled us to dive into analytics, customer segmentation, and ensure that we engage and cooperate on a mutual basis to maximize the efficiency and efficacy of our customer process journey. I can provide an example of a project where we are testing a new product into the market using SAS Customer Intelligence 360. We are a farming and horticulture company, and we test new varieties of products that are either produced by ourselves or bought from clients and later sold directly to other clients. In this case, we had a niche target customer for our products, and we needed to approach the customer in real-time and ensure that we offer personalized engagement that would attract the client to what we were selling. By applying SAS Customer Intelligence 360, we were able to personalize the entire campaign and ensure that we secured contracts for selling our products to these clients for a number of years. The engagement was mutually beneficial and mutually productive. Additionally, we use SAS Customer Intelligence 360 for customer follow-up. When a client starts with us and sometimes drifts away along the way without a platform to help monitor our progress in following up, we tend to lose track and the client moves away. With SAS Customer Intelligence 360, we are able to engage in real-time follow-up and correct errors on our side, allowing us to have the customer onboarded and fully immersed in a mutually beneficial way where we work together to deliver and provide what we have agreed to work on.
My main use case for SAS Customer Intelligence 360 is orchestrating our customer data and personalization, as we are an agency. A specific example of how I use it for orchestrating customer data and personalization is that we have clients from different tiers that we divide them, which helps us manage the relationship with our customers and track and review the end-to-end customer journeys. Regarding my main use cases, I also use it to unify client data, build customer profiles, and create segments in terms of high-value clients, new clients, and lower-paying clients, so that feature is helping us to be organized internally.
I use SAS Customer Intelligence 360 for customer engagement and personalized marketing campaigns. I segment customers based on behavior, preferences, and interactions, delivering targeted communications through various channels. For instance, when customers interact with our website or application, I analyze their behavior using SAS Customer Intelligence 360 and categorize them into audience segments. Personalized marketing messages or offers are then delivered based on these segments, enhancing customer engagement and campaign effectiveness.