Customers expect you to know them but existing tools fail to deliver a clean and consistent view of your business. We set out to build this world-class solution because we have seen many MDM and data quality initiatives failing to deliver on their promise. Decade old technology is bound to be over-budget, behind schedule and clunky to use.
We have a secret sauce. We do it better than anyone.
Reifier seamlessly scales from a few thousand to millions of records. Batch as well as real time. Faster than anything else
Reifier's AI engine works with the same ease for data variety in multiple languages - business names, addresses, customer names, educational institutes, cameras, mobiles, watches, other products.
No manual configuration of rules and algorithms leading to lightning fast deployment and unmatched versatility and accuracy.
Automated mapping and support for all Relational or NoSQL databases as well as HDFS,S3 and local files in JSON/XML/CSV/TSV/Parquet/XLS and other formats
Recommendations for data stewards makes data curation a breeze saving time and energy
Continuous feedback loop improves matching accuracy and performance
Existing mdm and data quality solutions are rule and dictionary based where defining and managing the rules is a complex and time consuming activity performed by a developer who has a background in matching algorithms and tweaks weights assigned to different fields. To create precise rules, a lot of data cleansing and preprocessing is also needed. Reifier's Fuzzy Matching AI engine smartly figures the right way to match your data at the highest accuracy
With a rich clientele of Fortune 100 customers in different domains like retail, manufacturing and pharmaceuticals, as well as SMBs and Non Profits, our journey is getting more and more exciting!
“Before Reifier we had to use a lot of manual efforts to identify potential duplicates in customer data, now the system can learn patterns and find duplicates for us intelligently. It’s a breakthrough to a long-standing issue of our businesses.”
- Mr. Dave Chan, Regional Director Business Intelligence, UBM Asia
Watch Mr. Chan's testimonial at Strata Hadoop World Singapore
"I have had the opportunity to evaluate the Reifier product offered by Nube in a big data environment. The Reifier solution extended a simple and intuitive workflow customised on the basis of our data requirements. Further it demonstrated the ability to mine and match patterns across large disparate data sets. Finally, the accuracy of results generated by Reifier was far superior to all other commercial products evaluated as part of the exercise. The above reasons made it a clear choice for deployment as part of my organisation.
I wish Nube the very best in their endeavour to take this product to the global market."
- Government of India official
Add data from local file system/HDFS/S3 in CSV/TSV/XLS/XLSX/JSON/XML/Parquet/Avro or other formats. Or link up any RDBMS/NoSQL database. Choose fields to be linked or matched.
To learn similarity rules, Reifier needs few matching and non matching samples. Using Reifier Interactive Learner, mark few sample pairs as matches/non matches. If training data already exists, that can be used instead.
Reifier's powerful AI algorithms learn similarity rules and apply them on the entire dataset to identify and mark linkages and duplicates
Human data stewards can further tweak Reifier results for end consumption
Mastered data can now be found at the click of a button. Search across clean customer, product, supplier and other master data.
Done!
Book a 15 minute call to discuss your challenges with our founder
Write to talk aboutyour data challenges and see if Reifier can help!
