Kalinda Description
Legislative restrictions on what information can be shared and under which circumstances. Data matching and discovery are used to speed up information sharing between agencies in relation to specific cases. Kalinda's core is a machine-learning-based algorithm that matches person records between multiple agencies using personal characteristics (such name, birth date, etc.) and the characteristics related people. Sometimes, in-depth investigations require the ability to examine relationships between people and with locations even if only partial information is available. Kalinda can answer partial-match questions about person, location, and relationship information. Kalinda uses extended algorithms to find records that are similar to the matches based on probabilistic records matching.
Kalinda Alternatives
Senzing
Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records about people, organizations and their relationships in real time as new data is received.
The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc.
Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.
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DataBuck
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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Match2Lists
Match2Lists is the fastest and easiest way to match, merge and de-duplicate data. You can enrich your data with Dun & Bradstreet information using our Match2D&B option. You can quickly clean up duplicates and combine data from multiple sources into powerful information in a matter of minutes. Our first goal is to provide maximum match results for customers. Before Match2Lists was created, we were data visualisation and analytics companies. We also used the most "fuzzy" matching technology on the market. We spent 10 years creating the most advanced data matching logic to overcome their low match results. Our second goal is to save time. We want our customers not to spend as much time cleansing and matching data, but more time analysing and executing. Our advanced matching logic was implemented on the fastest in-memory cloud computing architecture that we could find. It is capable of matching 200,000,000 records in 30 seconds.
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LinkageWiz
The powerful Probabilistic Data Matching algorithms use common identifiers like name, date, sex and address. Data can be imported from many different desktop and corporate databases systems. Data matching software can detect potential matches up to 99%. This software can help businesses generate additional revenue or reduce costs. It can also detect fraud more effectively. And, for medical research, it can make the difference between a successful and unsuccessful research project. LinkageWiz is quick, easy to use, and offers outstanding value because it combines many of the features offered by other products into one package.
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Integrations
No Integrations at this time
Company Details
Company:
Kalinda
Headquarters:
Australia
Website:
www.factil.io/products/kalinda/
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Product Details
Platforms
SaaS
Type of Training
Documentation
Customer Support
Phone Support
Online
Kalinda Features and Options
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