OneSchema Features

Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others

Allows businesses to easily connect to any data source

Offers API connections for cloud-based applications and data sources

Indexes metadata descriptions for easier searching and enhanced insights

Tools to (re)structure data in a manner that enables quick and accurate insight extraction

Allows self-service joining of tables

Provides the ability to combine data sources into one data set

Allows users and administrators to easily clean data to maintain quality and integrity

Ensures user access management, data lineage, and data encryption

Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools

Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools

Operationalizes data workflows to easily scale repeatable preparation needs

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Organize extracted data into a more easily digestible structure.

Amass extracted data in a variety of data formats like spreadsheets and .csv.

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more.

Stores data in cloud storage for access at any point.

Correctly identify inaccurate, incomplete, or duplicated data from a data source.

Utilize deletion, modification, appending, merging, or other methods to correct bad data.

Standardize data formatting for uniformity and easier data usage.

Clean data as it enters the data source to prevent mixing bad data with cleaned data.

Finds duplicates using the fuzzy logic technology or an advance search feature.

Enables electronic document transfer between businesses and trading partners.

Translates the EDI data back and forth, basically converts internal data format into the EDI standard format.

Provide follow-up information after data cleanings through a visual dashboard or reports.

Automatically run data identification, correction, and normalization on data sources.

Gives a view of the entire data quality management ecosystem.

Allows user role-based access and actions to authorization for specific tasks.

Allow users to select the data's source(s) and destination(s) for the exchange process.

Integrate with other data-oriented solutions.

Generate reports, dashboards, and graphics around data exchange KPIs and stats.

Provide data governance strategies or capabilities for exchanged and acquired data.

Enables end-to-end automation of key EDI processes without any user intervention.

Detects the EDI errors and instantly notifies and alerts the transmission issue.

Provides a real-time customizable dashboard that allows users to track, monitor and manage transactions.

Transmit data without altering the data’s inherent meaning.

Normalize transmitted data for easier consumption by the receiving system.

Allows integrations to business applications such as accounting packages, ERP software, E- commerce systems etc to streamline order processing workflow.

Allows integration with third party reporting and business intelligence applications.

Supports encrypted file transfer protocols like VAN, AS2, FTP/sFTP and HTTPS.

Built-in support for a wide variety of traditional and modern EDI standards as well as the ability to define custom standards.

Creates a test environment for EDI transactions to verify them and ensure they adhere to industry compliance requirements.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Allows users to generate text based on a text prompt.