After processing vast amounts of data daily to ensure user safety and combat fraud, this company decided to leverage Salesforce Data Cloud’s powerful analytics to scale fraud detection capabilities and improve data security. The Data Cloud impact was immediately effective and the IT operations business outcomes were astonishing.
From the beginning, the company knew that robust data management practices were essential in maintaining a secure environment for their users worldwide. But tracking massive volumes of real-time data for anti-fraud detection required advanced scalability and efficient integration, which they could not manage themselves and therefore required our help.
Knowing this context, let’s see in action how building a proper Data Cloud Architecture helped this global company to keep safe the data from millions of users.
The Challenge: Scaling Anti-Fraud Measures with Real-Time Data
Maintaining data management was the essential goal for creating a secure environment for their millions of users. However, tracking real-time data at a large scale required systems that met high standards in security and processing speed. Faced with growing data needs, this organization needed a solution to streamline data across departments while supporting real-time, effective fraud detection.
Solution: Using Powerful Data Capabilities and Storage Functions
Taking advantage of new data technologies in the market, this media entertainment company partnered with Oktana to design a scalable architecture that leverages Salesforce Data Cloud, enhancing analytics and fraud detection capabilities. By harnessing this solution, we created an architecture that enhanced analytics capabilities for faster processing and analysis of large datasets.
The architecture between Snowflake and Salesforce enables Snowflake to leverage ‘Zero Copy Capability’ to consume large Data Cloud volumes of information, facilitating seamless integration between the two platforms.
This enabled the push of large volumes of data to Snowflake, utilizing Salesforce Data Cloud for data shares. The integration leverages Data Cloud’s robust capabilities to provide seamless and efficient data management capabilities. Here are the key components of the solution:
Data Transition and Integration:
- We moved 17 objects to Snowflake for comprehensive Fraud Analytics.
- Salesforce Data Cloud’s out-of-the-box connectors enable easy connection between Salesforce Service Cloud and Salesforce Marketing Cloud.
- Zero-ETL Data Share enables seamless data sharing without moving records, optimizing storage efficiency in Snowflake.
Custom Solution:
- The custom solution integrates Snowflake results into Salesforce CRM Analytics (CRMA).
- Data Cloud acts as a bridge, sharing data from Service Cloud to Snowflake for processing and then back to Salesforce CRM for use by other departments.
The adoption of Salesforce Data Cloud was crucial for managing the increased data management capacity, ensuring efficient operations and enhancing the overall analytical capabilities of the organization.
Custom Responses for Real-Time Insights
Oktana built a custom integration loop that shared Snowflake analytics directly into Salesforce CRM Analytics (CRMA), ensuring processed data was available in real time across departments. By acting as a bridge between Service Cloud and Snowflake, DC provided reliable anti-fraud capabilities that keep departments aligned.
Key Benefits of Salesforce Data Cloud Implementation
Implementing Salesforce Data Cloud gave this company:
- Scalable Data Management: Handles large data volumes seamlessly, allowing the organization to scale without limitations.
- Enhanced Fraud Security: Salesforce Data Cloud improved data processing, meeting stringent security standards.
- Integrated Data Analysis: Enabled cross-departmental data sharing, helping teams make informed, proactive decisions.
Additional Benefits
The Salesforce Data Cloud solution didn’t just address basic challenges; it transformed operations:
- Improved Fraud Detection: Advanced analytics identify fraudulent activity faster and more accurately.
- Reduced Processing Time: Optimized workflows shortened data handling and analysis time.
- Increased Cross-Department Collaboration: we enabled data sharing across departments, fostering teamwork and seamless information flow.
Ultimately, we enabled their overall business growth and innovation, positioning our customer at the forefront of technological advancement and data-driven decision-making.
Results
- The volume of information processing up to 450% greater
- Snowflake optimized efficiency/accuracy by 50% increase
- Data processing will be 90% faster
From a business perspective, this Data Architecture system also enhanced:
Scalability and Efficiency:
- Data Cloud provided the only complete solution among various tested options, proving essential for managing large data volumes.
Storage Optimization:
- Zero-ETL (Zero Copy) approach avoided any increase in Snowflake storage usage.
As you can see, the metrics dont lie, and this kind of data architecture, if done with the right partner, works better than any other data management alternative.
If you face data management challenges of any type within your organization, Let’s Talk! We have the expertise and knowledge to help you with projects of any size.
