Data Cloud / Artificial Intelligence

Advanced Data 360 (Data Cloud) Strategies to Help Your Business Scale With AI

By Carl Gayle & Ed Cho

Branded content with Salesforce

You activated Data 360 (formerly Data Cloud) through the Salesforce Foundations offering. What’s next? Since you’ve already seen how it unifies your customer data to create a unified profile of your customers, you must now be wondering, what’s a suitable next step? And what are other growing companies actually doing with this to drive real business results?

In this article, we’ll cover real-life use cases, from various industries and companies just like yours, which chose to supercharge their implementation with Data 360.

Data 360 Can Help Businesses Today

If you think that Data 360 is an enterprise-only solution, it’s time to reconsider. Forward-thinking SMBs have been quietly harnessing its capabilities to solve problems that used to require expensive enterprise tools or hiring whole departments of experts. They’re not just organizing data, they are transforming how they operate, compete, and grow – all while other companies might be figuring out how to make use of this offering. 

What you will see below aren’t just theoretical use cases or enterprise-level implementations. These are real SMB success stories from companies just like yours, using the same capabilities you already have in Foundations to tackle some of the exact challenges that may be keeping you up at night. Ready to dive in? 

Before we do, keep in mind that these strategies are still examples, meaning that you should learn from them but adapt the approach for your industry and the requirements at hand. 

You should also consider starting with a bang! Low-effort and high-impact items are always bound to turn heads and spike interest. Additionally, let’s not forget a critical factor: it’s all about return on investment (ROI) and tracking the metrics that will support the initiative and pave the way for even bigger ones in the future. 

READ MORE: Why Admins Should Pay Attention to Data 360 – Even Without a Big Budget

Get Inspiration From Industry-Specific Use Cases

Let’s dive into three use cases for specific industries, which can be translated and adapted to your own, that have one thing in common – smart use of Data 360 functionality. 

Boost Efficiency for the End-to-End Fulfillment Process

The Challenge:

A manufacturing company struggled to manage its complex production, sales, and shipping operations. At various points in the process, different problems were identified: 

  • Leads were difficult to track, making it close to impossible to conduct timely follow-ups after tradeshows. 
  • Sales leadership lacked visibility into the pipeline and key metrics to help them drive decisions. 
  • Both customer support and order fulfillment were seeing significant delays due to disconnected systems. 
  • Other inefficiencies that reduced productivity surfaced from manual reporting and warranty tracking. 

The Solution:

Data 360 was implemented to unify operational data across Sales Cloud, Service Cloud, and ERP systems. The unified data foundation also set the stage for AI-powered summaries and predictive reporting to further streamline operations. By connecting sales, service, and production data into a single environment and making use of automated workflows and real-time reporting, they gained a complete view of every order, customer, and shipment:

  • Sales pipeline visibility: By consolidating trade show and lead data into one single view, the entire sales team can take action and have the much-needed visibility without hassle. 
  • AI insights: Enabling automated reports and case summaries to guide daily decisions.
  • Operational automation: Connecting ERP, logistics, and support systems to reduce manual work and drastically reduce the error rate. 
  • Order management: Automating tracking and fulfillment to achieve near-perfect accuracy – faster shipments, happier customers. 
  • Warranty cost reduction: Streamlining service workflows to cut warranty claims by 20%. 

Tax Season Doesn’t Have to Be Overwhelming

The Challenge:

There are times in certain industries where the workload increases significantly – for a national tax services firm, that’s the unmistakable “joy” of the tax season. This means a higher number of inquiries, a higher number of customers to interact with, and, of course, a higher volume of data to tackle. After a closer look, a few pain points emerged: 

  • Their existing chatbot resolved only 10% of client inquiries, forcing clients to book unnecessary 30-minute CPA appointments. 
  • Due to increased workflow, the company was required to hire 20+ seasonal workers to keep up with volume. 
  • The lack of connected systems made it difficult to deliver fast, consistent answers to routine tax questions. This led to customer frustration and an overall disjointed experience. 

The Solution:

To tackle all of these challenges with one solution, the firm implemented Data 360 to unify client data from Sales Cloud, Service Cloud, AWS, Google Docs, and Snowflake. Paired with Salesforce’s flagship AI offering, Agentforce, this setup allowed AI agents to reason across both internal systems and external trusted sources to deliver instant, personalized tax support autonomously: 

  • 24/7 virtual tax assistant: Delivering around-the-clock support using AI-powered responses, grounded in all the documentation humans relied on as well as customer data for added context. 
  • Personalized service: Using client history and preferences to tailor responses in real time.
  • Inquiry deflection: Automatically resolving common questions without human interaction – a textbook use of AI for routine, repetitive tasks and questions. 
  • Data unification: Connecting audit logs, support history, and external documentation in one place, rather than having them scattered across disjoined systems. This approach makes the work of AI agents and humans more efficient. 
  • Seasonal workforce reduction: Eliminating the need for seasonal hires just to keep up with the volume of work. 

Increase Healthcare Accessibility Through Unified Data

The Challenge:

In this day and age, making treatment options accessible to patients regardless of where they are located is front and center in the healthcare industry. From virtual consultations when warranted to more clinics and satellite locations, the system keeps transforming alongside patient needs.

A regional healthcare provider needed to expand its high-touch diabetes care program to underserved rural areas. The problem was that patient data was scattered across disconnected electronic medical records (EMRs), lab systems, and imaging platforms. This made it difficult for care teams to access up-to-date information and was slowing down time-sensitive treatment decisions.

Additionally, healthcare is a regulated industry handling large amounts of personal information, so HIPAA compliance has to be top of mind. 

The Solution:

Unified patient data was possible through Salesforce Data 360. The organization successfully brought together into a unified view data from EMRs, lab results, and imaging systems through zero-copy integration. By pairing Agentforce with Health Cloud, care teams gained a single, HIPAA-compliant pane of glass for each patient, enabling daily personalized support and automated care coordination.

  • Unified patient records: Consolidating EMR, lab, and imaging data into a single view reduces the need to waste time searching for the right information, as well as losing key information from sight. 
  • AI-assisted care: Delivering proactive, personalized diabetes support through intelligent agents grounded in the patient’s history and context. 
  • Regulatory compliance: Ensuring HIPAA-aligned data management across all systems. 
  • Operational scalability: Expanding from pilot regions to national coverage while improving team productivity – this way, healthcare can be accessed by more patients in even more remote areas in the future. 
  • Cost savings: Reducing administrative overhead by tens of thousands annually per customer segment, through smart decisions made today.

Final Thoughts 

Making use of powerful tools to aid and transform your tech stack isn’t about becoming a data scientist overnight or implementing complex AI models. By learning from peer companies that figured out how to use Data 360 strategically from the get-go, you can start solving real business problems and drive measurable growth, too. What are you waiting for? 

Get started now with Data 360 through Salesforce Foundations.  

To learn from experts on how to get started with Data 360, join our webinar: How SMBs Can Build a Data + AI Foundation for Unstoppable Growth.

The Authors

Carl Gayle

Carl Gayle is an accomplished Senior Product Marketing Manager with expertise in brand management, product development, and driving growth in B2B environments. Currently leading the product-led growth strategy at Salesforce, Carl specializes in driving engagement and adoption of innovative products such as Foundations and Agentforce.

Ed Cho

Ed is a Product Marketing Leader at Salesforce, with extensive experience in driving revenue through Platform, Security, App Development, Data, and AI initiatives.

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