Compare Flatfile vs Privatica

Summary

Flatfile helps users provide their customers with a seamless data import experience hoping to eliminate rework prior to uploads and increasing the first-attempt success rates. Data can be uploaded using CSV or XLS files, or even through manual copy-pasting. The tool automatically matches 95% of imported columns using AI, machine learning and fuzzy matching and lets users analyze past data uploads. Users can view past file imports and metrics such as rows imported, recent import errors, and file upload times. The Data Mapping features allow the matching of columns and fixing of rows before the CSV data is uploaded. Users can also personalize the Flatfile importer according to their brand using custom CSS. For security, it features HIPAA compliance and 100% browser-based data processing ensuring sensitive spreadsheet data is not transmitted to their servers. Its team also provides solutions for data import issues and customizes Flatfile for their usage. ..show more

Privatica is a customer data platform that enables the users to automate Data Subject access requests. It helps the users to save their time and resources by executing data subject requests under GDPR. It has a simple and intuitive data interface that enables fast and safe processing of your customer’s requests. This AI-driven platform allows you to collect the data stored in your personal as well as your partner’s databases. It automatically fulfils the client’s request after the users have confirmed the action. When it comes to Data Subject Access Request, the email does not qualify as a secure mean of communication. Therefore, it comes with a simple and secure data request form for your customers. It provides an effective solution by which the request can be fulfilled quickly, safely and clearly. Privatica is designed to integrate smoothly with external applications so that it will be easier for the users to manage data in Google Cloud, AWS and many other services. The platform is a one-stop solution for managing the stored data provided by your vendors. ..show more

Customer Data Helps in recording, accessing and managing customer information

Data Analysis Helps in analyzing stored raw data and converting them into useful reports

Data Capture Helps in gathering and extracting data from documents and transforming them into computer-readable form

Data Integration Helps in collecting and combining data from multiple data sources and offer them in a unified manner to the user

Data Migration Facilitates transferring or shifting data between computer storage types and or file formats

Data Quality Control Helps in monitoring the quality of data input and processed

Data Security Ensures secure storage of data by encryption

Information Governance Allows adopting a holistic approach to govern or manage the corporate data

Master Data Management Enables an organization to manage and integrate all of its critical corporate to a centralized point of reference

Match & Merge Helps matching data across multiple sources and to merge them for offering a better view to the data managers

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