Cognitive Automation – An imperative for superior Customer Experience

Cognitive Automation – An imperative for superior Customer Experience

Cognitive Automation - An imperative for superior Customer Experience

The traditional property and casualty insurance business model has resisted change for a long time. Although advances in technology have slowed the pace of change, we have reached a point where insurers must go digital. Long-term dependence on many internal systems and solutions has been established, but it’s now time to turn to automation to drive straight-through processing. You don’t want to interrupt your business by changing entire systems or re-engineering procedures. When you use automation technology to transform your business processes, you’ll realize immediate cost and productivity savings and long-term strategic advantages. Although it may be tough to know where to begin, there is a compelling incentive to act now rather than later.

Customer experience expectations drive technological advancements, and insurers realize that to continue in business, they must alter their focus to provide a better customer experience. Automation is a method to provide better products and services to customers at a reduced cost without adding more people to the workforce. However, this will necessitate a change in the present business model, which is characterized by resistance to change. Automation is seen as a tool for clever insurance companies to save costs while increasing revenue.

Data – The Automation Grey Cells

Insurance companies now have access to new data sources because of technology and automation improvements. These data sources must be managed and leveraged for optimal utilization to improve customer experience and increase revenue from existing or new revenue streams.

Cognitive Automation Areas for Insurers

  • Process Improvement: To improve processes, insurers must be able to evaluate and review processes. Processes that utilize Robotic Process Automation include the steps in the task or process, such as exception handling, transaction details or errors.
  • New business and underwriting: Insurers spend a lot of time gathering data for underwriting, and cognitive process automation may help speed up the process by extracting data from a range of sources, both internal and external. Underwriting, as a process, also entails a number of mathematical calculations that may be automated. 
  • Intelligent Claims Processing: Claims processing, like underwriting, necessitates data collecting from internal and external sources, and cognitive automation makes this process significantly more efficient. The amount of manual effort associated with claims processing can be reduced by up to 75% by automating the process.
  • Regulatory Compliance: Because Cognitive Process Automation is based on user-defined business rules, it’s perfect for businesses with rigorous regulations, such as property and casualty insurance. Whether it’s new tax changes, General data protection, or Health insurance portability and accountability regulations, process automation makes it easier to stay compliant with insurance regulations. 
  • Service Communications: Automation can notify customers of important information, such as policy renewal, or automatically respond to standard queries like the issuance of tax certificates.

Business Benefits of Cognitive Automation

  • Improve Customer Experience – Every procedure or stage in the customer journey that automation removes or accelerates enhances the customer experience. When it comes to providing a superior client experience, insurers must take advantage of automation as much as possible.
  • Cost savings: Cognitive Automation saves money in the long term and minimizes the need for manual labor in processing.

In today’s rapidly evolving business landscape, data integration is a critical component for driving insights, efficiency, and innovation. Enterprises often rely on multiple data platforms to manage and analyze their vast amounts of data. SAP and Snowflake are two such platforms that organizations frequently use to handle their business operations and data warehousing needs. However, integrating data between these systems can be challenging. Enter SAP Business Technology Platform (BTP) Datasphere – a powerful solution that simplifies and enhances data integration between SAP and Snowflake.

Understanding SAP BTP Datasphere

SAP BTP Datasphere is a comprehensive data management solution designed to unify and simplify data access across various environments. It offers robust capabilities for data integration, data orchestration, and data governance, making it an ideal tool for businesses looking to streamline their data operations. With SAP BTP Datasphere, organizations can seamlessly connect their SAP data with Snowflake, a leading cloud data platform renowned for its scalability and performance. 

Why Integrate SAP and Snowflake?

Integrating SAP and Snowflake brings numerous benefits to organizations:

      1.     Unified Data Access: Gain a holistic view of your data by combining transactional data from SAP with analytical capabilities in Snowflake.

      2.     Enhanced Analytics: Leverage Snowflake’s powerful data warehousing features to perform advanced analytics on your SAP data.

      3.     Scalability: Benefit from Snowflake’s scalable architecture to handle growing data volumes and complex queries efficiently.

      4.     Real-Time Insights: Enable real-time data synchronization between SAP and Snowflake to support timely and informed decision-making.

Key Features of SAP BTP Datasphere for Data Integration

      1.     Data Connectivity: SAP BTP Datasphere offers pre-built connectors for seamless integration between SAP systems (such as SAP S/4HANA, SAP BW) and Snowflake.

      2.     Data Orchestration: Automate data workflows and ensure smooth data movement between SAP and Snowflake, reducing manual efforts and minimizing errors.

      3.     Data Governance: Ensure data quality, security, and compliance with robust data governance tools that help you manage and monitor data integration processes.

      4.     Real-Time Data Replication: Utilize real-time data replication capabilities to keep your Snowflake data warehouse updated with the latest SAP data, enabling timely insights.

      5.     Scalable Architecture: Leverage a scalable architecture to handle large datasets and complex data transformations efficiently.

Steps to Integrate SAP and Snowflake Using SAP BTP Datasphere

      1.     Set Up SAP BTP Datasphere: Begin by setting up your SAP BTP Datasphere environment. Ensure you have the necessary licenses and access to the platform.

      2.     Configure Data Connections: Use SAP BTP Datasphere’s data connectivity features to establish connections with your SAP systems and Snowflake. Configure the necessary credentials and connection parameters.

      3.     Define Data Flows: Create data flows within SAP BTP Datasphere to specify how data should move between SAP and Snowflake. This includes selecting the data sources, defining transformations, and mapping the data to the target Snowflake tables.

      4.     Schedule Data Workflows: Automate your data integration processes by scheduling data workflows. Set up regular intervals for data extraction, transformation, and loading (ETL) to ensure your Snowflake data warehouse is always up-to-date.

      5.     Monitor and Optimize: Continuously monitor your data integration processes using SAP BTP Datasphere’s monitoring tools. Identify and address any issues promptly to maintain data integrity and performance.

      6.     Leverage Data for Insights: Once the data is integrated, leverage Snowflake’s advanced analytics capabilities to gain deeper insights. Use tools like SQL queries, data visualizations, and machine learning models to analyze your integrated data and drive business decisions.


Integrating SAP with Snowflake using SAP BTP Datasphere unlocks a world of possibilities for businesses seeking to harness the full potential of their data. By providing seamless data connectivity, robust data orchestration, and comprehensive data governance, SAP BTP Datasphere simplifies the integration process and empowers organizations to make data-driven decisions with confidence. Whether you’re looking to enhance your analytics capabilities, improve data access, or achieve real-time insights, SAP BTP Datasphere is the key to unlocking seamless data integration between SAP and Snowflake.

Start your data integration journey today and transform the way you manage and analyze your data!

By following these steps and leveraging the powerful features of SAP BTP Datasphere, businesses can achieve seamless data integration between SAP and Snowflake, unlocking new opportunities for growth and innovation.




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