Overview
What is Quantemplate?
Quantemplate's data integration, automation and analytics platform aims to turn insurance data sources into trusted insights.It is presented as a data preparation solution for insurance professionals, automating data clean-up, then performing calculations, augmenting with external data and doing validation checks…
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Product Details
- About
- Competitors
- Tech Details
What is Quantemplate?
Quantemplate's data integration, automation and analytics platform aims to turn insurance data sources into trusted insights.
It is presented as a data preparation solution for insurance professionals, automating data clean-up, then performing calculations, augmenting with external data and doing validation checks – all without writing a single line of code.
The vendor describes its benefits:
Comprehensive: full data transformation feature set with over 50 transformation functions.
Validations: have confidence in data by building automated data validation checks to profile the quality of incoming data and assure quality of output.
Fuzzy matching: Automate the mapping of company names, addresses, occupancy/construction codes with Automap Values.
Analytics: Drag-and-drop tools to pivot, filter and chart data, then assemble into high-finish customisable reports.
Zero-code: Business users can freely explore, test and implement data cleansing pipelines.
Connectivity: Connect to upstream and downstream data sources via API.
Expert support: Team of experienced insurance data experts to help users navigate any challenge that data presents
It is presented as a data preparation solution for insurance professionals, automating data clean-up, then performing calculations, augmenting with external data and doing validation checks – all without writing a single line of code.
The vendor describes its benefits:
Comprehensive: full data transformation feature set with over 50 transformation functions.
Validations: have confidence in data by building automated data validation checks to profile the quality of incoming data and assure quality of output.
Fuzzy matching: Automate the mapping of company names, addresses, occupancy/construction codes with Automap Values.
Analytics: Drag-and-drop tools to pivot, filter and chart data, then assemble into high-finish customisable reports.
Zero-code: Business users can freely explore, test and implement data cleansing pipelines.
Connectivity: Connect to upstream and downstream data sources via API.
Expert support: Team of experienced insurance data experts to help users navigate any challenge that data presents
Quantemplate Features
- Supported: Column header mapping assisted by machine learning
- Supported: Fuzzy matching to standardize company names, addresses, codes, etc at scale
- Supported: Validation checks to profile and assure data quality
- Supported: Zero-code interface for building sophisticated data pipelines
- Supported: Aggregate data with pro features such as picking the most recent value and detection of failed merges
- Supported: Date cleansing: automated and highly configurable tools to cleanse, adjust and reformat dates
- Supported: Suite of excel-style calculation functions
- Supported: APIs to connect to external systems such as a data warehouse or reference data supplier
- Supported: Business intelligence: drag and drop tools to pivot, filter and visualize data in printable multi-page reports
- Supported: Cloud-scale data throughput
- Supported: Instant deployment with insurance experts available to help you navigate your data challenges
Quantemplate Screenshots
Quantemplate Competitors
Quantemplate Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
| Supported Languages | English |
Quantemplate Customer Size Distribution
| Consumers | 0% |
|---|---|
| Small Businesses (1-50 employees) | 13% |
| Mid-Size Companies (51-500 employees) | 27% |
| Enterprises (more than 500 employees) | 60% |
