Syniti Data Matching Description
Enhance your business connectivity, foster growth, and effectively utilize cutting-edge technologies at scale with Syniti’s advanced data matching solutions. Regardless of your data's format or origin, our sophisticated matching software proficiently matches, removes duplicates, integrates, and standardizes data through intelligent, proprietary algorithms. By pushing the limits of traditional data quality approaches, Syniti’s matching solutions empower organizations to become data-centric. Experience an impressive 90% acceleration in data harmonization and a significant 75% decrease in time spent on de-duplication as you transition to SAP S/4HANA. Achieve deduplication, matching, and lookup on billions of records in just 5 minutes, thanks to our performance-ready processing and readily available solutions that function without pre-cleaned data. With the integration of AI, exclusive algorithms, and extensive customization, we enhance matching across intricate datasets while effectively reducing false positives. This innovative approach not only streamlines operations but also positions your business for future growth in a data-driven landscape.
Syniti Data Matching Alternatives
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Your first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.
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Data Ladder
DataMatch Enterprise (DME) is Data Ladder's entity resolution and data matching platform. It identifies records that refer to the same person, business, or entity across disconnected systems, then links and consolidates them into a single accurate record. Core functions include data profiling, standardization, matching, deduplication, and merging, supporting use cases such as Customer 360, KYC, fraud detection, and master data management.
The platform is available through a no-code visual interface for business users and a REST API for developers, allowing the same matching engine to be embedded in applications, data pipelines, or AI agent workflows. Match results are rule-based and traceable, so users can see the specific logic behind each linked record rather than a single opaque score.
Recent additions include entity graphs for visualizing connected records, live search for real-time matching, and Docker as a deployment option in addition to cloud and on-premises environments.
Independent benchmarking across 15 studies shows DME identifying 5 to 12% more matches than comparable tools, with fewer false positives and accuracy up to 99%. In a large-scale test, it processed 10 million records in 41 minutes.
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ArchiverFS
ArchiverFS offers a file archiving solution designed for servers and network storage systems, enabling any device to function as secondary storage. This solution has a minimal impact on the host system and provides comprehensive support for cloud integration, distributed file systems (DFS), replication, de-duplication, and data compression. With ArchiverFS, users can utilize any NAS, SAN, or cloud service to store older unstructured files, as long as it can be shared over the network using a UNC path and formatted with NTFS. Notably, the system operates without relying on a database for storing files, their pointers, or metadata—utilizing NTFS exclusively throughout the process. Furthermore, ArchiverFS facilitates the bulk transfer of outdated files from primary storage to secondary storage, while ensuring that all file attributes, permissions, and directory structures are preserved. Additionally, users can leave behind various links in place of the relocated files, including fully functional symbolic links that replicate the appearance and behavior of the original files seamlessly. This innovative approach not only streamlines storage management but also enhances the efficiency and organization of file systems.
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Company Details
Company:
Syniti
Headquarters:
United States
Website:
www.syniti.com/solutions/data-matching/
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Web-Based
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Live Training (Online)
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Online Support
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