Data Visualization Software

Enterprise information archiving (EIA) software (also called archiving software) helps businesses store their structured data and unstructured data like emails and media files.

Big data integration platforms help users aggregate and integrate big data from multiple data sources on the cloud to facilitate big data storage, management, and analysis.

Big data processing and distribution systems are tools used for collecting, storing, distributing, and managing big data in different formats (structured or unstructured) in real time.

Data labeling is used to create large volumes of annotated data like pictures or images that can be used to train machines and make them functional for AI-based models.

Data de-identification and pseudonymity software is a type of data masking software which enables businesses to use realistic data but not personally identifiable datasets to protect its customer and employee data.

Data governance is a key aspect of ensuring data quality and availability. Data governance software help companies manage the data lifecycle, ensure data standards and improve data quality

Data management platforms (DMP) collect and analyze client, audience, and marketing data in central hubs.

Data mapping software is a type of tool used to verify and match source data to target data within data processing workflows such as ETL, data warehousing, or data migration.

Data masking software is a tool used by businesses and individuals to mask sensitive and priveledged data such as personally identifiable information (PII), protected health information (PHI), payment card information (PCI-DSS), or intellectual property (IP) before sharing it with third parties.

Data privacy management software is a type of software that enables businesses to store and manage sensitive data in compliance with data privacy regulations such as GDPR and HIPAA.

Data quality software supports companies in ensuring that their data quality is sufficient enough for the requirements of their business operations, analytics and upcoming initiatives

Data recovery software (also called data recovery tools) scans for deleted files using deterministic and heuristic algorithms to retrieve as much of the data as possible, when data is inadvertently lost.

Data replication tools (also called data replication software) help businesses create a replica of enterprise data and store it in an independent location.

Data virtualization software enables data storage, retrieval, and integration processes without creating a new integrated physical data platform.

Electronic data capture (EDC) Software is a tool used to record, transcribe, and store clinical data in healthcare facilities.

ETL tools help organizations for the process of transferring data from one location to another.

Data integration software enables businesses to build a unified view of enterprise data from different systems.

Master data management (MDM) tools facilitate management of critical data from multiple sources.

Medical image annotation tools help healthcare organizations label medical imaging data such as X-rays, CT scans, MRI, and ultrasound. Annotated medical images are used for health screening and diagnostics using machine learning algorithms.

On-premise data integration software enable businesses to aggregate data from different on-premise data sources in different formats (structured or unstructured).

Companies rely on data to build machine learning models which can make predictions and improve operational decisions

Video annotation platforms provide tools for labeling or tagging video clips for machine learning and computer vision tasks.

Web crawlers enable businesses to extract data from the web, converting the largest unstructured data source into structured data