CHICAGO, April 23, 2025 -- Aclaimant, a leader in next generation risk management solutions, today announced the launch of DIPDash, its patent-pending Data Ingestion Pipeline & Dashboard product. This specialized multi-stage platform is designed to solve the significant challenges the insurance industry faces in obtaining, creating and maintaining high-quality data sets across all systems of record, most notably with insurance claims.
Aclaimant's patent pending DIPDash Data Pipeline and Dashboard revolutionizes insurance data management.
DIPDash transforms the traditionally manual, error-prone, and time-consuming tasks of data acquisition, mapping, preparation, validation and loading while providing a transparent view into the entire process. DIPDash provides a scalable and efficient solution that consolidates claims and other insurance data, enhances data quality, and significantly improves transparency.
"All stakeholders in the insurance industry face significant challenges in obtaining high-quality data from their partners," stated Kathy Burns, CEO of Aclaimant. "DIPDash is the first product of its kind, purpose built to address the data challenges for brokers, TPAs, carriers and policyholders alike. Using this platform not only enhances data quality for users but also improves data quality with insurance partners. Information is power and we intend to empower our clients with the most robust and accurate data sets in the industry.".
Key benefits and features of Aclaimant's DIPDash include:
- Automated Data Ingestion: DIPDash automates the monitoring of incoming data, alerts teams to missing files, and automatically processes data upon receipt from Carriers and TPAs, thus eliminating manual handling and increasing accuracy.
- Data Transformation and Standardization: DIPDash transforms any file type into a digestible format, validates the presence and correct formatting of data, and normalizes data, ensuring consistency across various sources.
- Robust Data Validation: DIPDash's validation engine checks data for quality against hundreds of validations at each stage, including initial validation, after normalization, and post-load. These validations include data format validations, logical validations, business logic validations, and customer-specific validations with customizable rules and configurable escalations at every stage.
- Increased Efficiency and Speed: DIPDash provides immediate visibility to critical insurance data, eliminating delays associated with manual processes. In one case study, DIPDash reduced a 3-week manual claims consolidation process to just 10 minutes.
- Enhanced Data Quality and Transparency: The automated validation process ensures high data quality. DIPDash's visual dashboard and code free management engine provide transparency and clear visibility to data passes and failures. DIPDash creates an auditable trail for all data quality-related activities and is useable by all team members, regardless of coding acumen.
- DIPDASH Unique Value Adds:
- A visual interface for non-developers to adjust errors, mappings, and codings, and to review data quality scores.
- A carrier/TPA Data Quality Scorecard to facilitate data quality improvements with your partners
- A capability to append and extend data sets with information from other sources and derive new data to enhance data value.
For more information about Aclaimant and DIPDash, please visit https://www.aclaimant.com
About Aclaimant
Aclaimant is a next-generation Risk Management Information System (RMIS) designed to empower every organization to protect what matters most. Our intuitive, easy-to-use and powerful platform enables employers, brokers, carriers and TPAs to reduce the cost of risk and drive higher productivity. Aclaimant transforms the management of data, people, and processes through its workplace safety, incident and claims management, assets and exposures, AI and analytics solutions. Thousands of safety and risk management professionals rely on Aclaimant to achieve better outcomes. For more information, visit https://www.aclaimant.com.
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