Real-World Data on SMB Success

Background

Insurance companies require a comprehensive understanding of the businesses they underwrite to effectively assess risk. Real-world data on small to medium-sized businesses (SMBs)—including foot traffic, revenue, and employee turnover—offers vital insights into operational dynamics that are critical for risk assessment. Data providers who can supply this type of information are becoming increasingly valuable in the insurance industry, where tailored, data-driven policies can minimize risk.

Why It’s Valuable

• Better Risk Models: Real-world operational data allows insurers to move beyond traditional financial metrics, incorporating tangible, day-to-day business performance to assess risk more accurately.

• Custom Policies: Foot traffic, revenue, and employee turnover data allow insurers to offer policies that better reflect the unique operational dynamics and risk profiles of SMBs.

• Proactive Risk Mitigation: By identifying patterns in revenue and staff retention, insurance companies can anticipate potential risks and implement strategies to minimize loss.

Requested Data

The specific data types, insights, and signals requested by the buyer. As a data vendor, you only need to supply the raw data for one or more. You can use Tiki to create and deliver the requested insights and signals from your raw data.

• Foot Traffic Data: Insights into customer activity and business demand, offering a tangible measure of engagement.

• Revenue Trends: Data on revenue patterns, including seasonal fluctuations and growth trajectories, helps insurers assess a business’s financial health.

• Employee Turnover: High turnover rates can signal operational instability, which is a key factor in determining risk for SMBs.

Buyer Interest

The types of data buyers who have expressed interest to Tiki and their respective use cases for this data. If you have the data required for this request, Tiki will introduce you to the buyer(s).

• Insurance Companies specializing in risk assessment for SMBs need this data to refine their underwriting models.

• Risk Assessment Firms that work with insurers use this operational data to build more accurate risk profiles, providing better advice and predictions to their clients.