Anaplan for Insurance Companies – 8 Use Cases for Data-Driven Planning

Anaplan for Insurance Companies – 8 Use Cases for Data-Driven Planning

Being able to understand and apply available data is an essential function for insurance companies. With the nature of the insurance business relying highly on customer data and historical predictions, from policy creation to investing funds, the more accuracy, and data availability, the better. Utilizing Anaplan not only improves an insurance companies’ data driven planning, but can help streamline their operations, increase productivity, improve decision-making, and drive profitability.

Anaplan is a cloud-based planning platform that seamlessly integrates data, empowers collaboration, and enables agile decision-making. Anaplan can be utilized across an organization to effectively optimize processes for a wide variety of use cases. Accelytics has insurance experts on staff to develop and customize an Anaplan solution specifically for your needs.

Let's discuss 8 use cases for data-driven planning in Anaplan specifically for insurance companies:

1. Forecasting: Anaplan can help insurance companies forecast demand for their products and services by utilizing predictive analytics and advanced statistical forecasting with enrichments. This can help insurance companies to plan their resources, set pricing, and make strategic decisions on marketing and sales.

For example, an insurance company can use Anaplan to forecast demand for their health insurance plans in a particular geographic region. They can input data such as population demographics, income levels, health trends, and competition, and use the platform's forecasting capabilities to predict demand for various types of plans. This can help the company to plan their resources, allocate their marketing and sales budgets, and make informed decisions on pricing and product development.

2. Risk Management: Insurance companies can use Anaplan to manage their risks effectively with modeling, forecasting, and scenario planning. The platform can help companies to analyze and model risk exposure, evaluate loss scenarios, and determine the appropriate level of reserves.

Anaplan can be used to model and analyze different scenarios of catastrophic events, such as natural disasters or pandemics. Planners can input data such as historical claims data, weather patterns, and population density, and use the platform's modeling capabilities to determine the potential impact of various events on their business. This can help the company to make informed decisions on risk exposure, pricing, and reserve levels to avoid losses and be prepared in worst case scenario events.

3. Claims Management: Anaplan can help insurance companies to manage claims more efficiently. The platform can enable companies to automate claims processes, monitor claims data in real-time, and identify trends and patterns in claims data.

Anaplan can automate their claims processing and reduce the time it takes to process a claim. They can input data such as customer information, claim details, and policy information, and use the platform's automation capabilities to streamline the claims process. This can help the company to improve customer satisfaction and reduce operational costs.

4. Underwriting: Anaplan can help insurance companies to improve their underwriting processes to analyze customer data, evaluate risk factors, and make more informed decisions on policy pricing and terms.

An insurance company can use Anaplan to evaluate the risk associated with insuring a particular customer by inputting data such as customer demographics, medical history, and lifestyle habits, and use the platform's modeling capabilities to evaluate the risk of insuring that customer. This can help the company to make informed decisions on policy pricing and terms and ensure that they are adequately compensated for the risk they are taking on.

5. Contact Center Optimization & Workforce Planning: Insurance companies can use Anaplan to optimize their workforce planning process and call center effectiveness.

The platform allows companies to analyze historical data, such as call volumes, customer inquiries, and claims processing times, to forecast future workforce requirements. Anaplan's capabilities enable companies to determine the optimal number of staff members needed in different departments and locations, considering factors like seasonality, business growth, and service level targets.

In additional to workforce planning, Anaplan's analytics capabilities enable companies to identify patterns, trends, and bottlenecks in call volumes and call handling times to assist in optimizing staffing levels, improving call routing strategies, and enhancing customer service experiences. Skill based routing and performance KPIs can also be used to improve customer service and call center efficiency.

6. Financial Planning and Analysis: Anaplan can help insurance companies analyze financial data, forecast revenue and expenses, and make informed decisions on resource allocation and investment.

Using Anaplan, insurance companies can input data such as premium revenue, claims expenses, and investment returns, and use the platform's analysis and forecasting capabilities to gain insight into their financial performance. It can also streamline budgeting, P&L’s and many other financial reporting needs. This can help the company to make informed decisions on resource allocation, investment, and strategic planning, while creating efficiencies and reducing manual reporting times.

7. Fraud Detection and Prevention: Data analytics plays a vital role in identifying and preventing fraudulent activities within the insurance industry. By analyzing data patterns provided by Anaplan, insurers can better identify suspicious claims, detect potential fraudsters, and take appropriate actions to minimize losses and protect honest policyholders.

Anaplan users can create specialized models and algorithms that help detect potential fraud, set up rules based alerts, improve data sharing with cross-functional collaboration, and interpret data visualizations to help identify trends, outliers, and suspicious activities more easily.

8. Customer Segmentation and Personalization: Sales and marketing is a huge part of an insurance company’s strategy to attract, convert, and retain customers. With Anaplan’s data capabilities, the platform can help segment their customer base and personalize their offerings. By analyzing data on customer preferences, behaviors, and demographics, insurers can create targeted marketing campaigns, develop customer-centric products, and provide personalized customer experiences to enhance customer satisfaction, retention, and loyalty.

From FP&A to customer retention, Anaplan can be used as a cross-functional planning tool to impact insurance companies in many critical ways. Anaplan can help insurance companies to streamline their operations, improve decision-making, lessen risk, improve customer satisfaction, and drive profitability. By leveraging the power of the Anaplan platform, insurance companies can gain a competitive advantage in today's fast-paced business environment.

To learn more about Anaplan for insurance companies, contact one of our experts at

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