Open source entity resolution, data matching and deduplication

Noida
Joined June 2009
Sonal Goyal retweeted
Replying to @lenskart
@lenskart such a disappointment. New glasses unusable due to heavy blue coating. Refund goes to gift card which is of no use. Store recommendation - wear it for 5 days and it will automatically get transparent ๐Ÿคจ What a weird way to treat a life long customer.
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Sonal Goyal retweeted
It is extraordinary that India, still a relatively poor country, can achieve something as selfless as protecting other creatures. We explain how it became remarkably good at animal conservation economist.com/asia/2026/10/0โ€ฆ
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Sonal Goyal retweeted
Legacy MDM forces source systems to adapt to rigid schemas and forces golden records instead of the other way around. AI shouldn't just consume mastered data downstream; it belongs inside the mastering process itself. zingg.ai/post/master-data-maโ€ฆ #Zinggai #MDM
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Sonal Goyal retweeted
Legacy data tools feel like duct tape on a sinking ship.ย Manual deduplication. Single-domain fixes. Complex spreadsheets. ๐—ฌ๐—ผ๐˜‚ ๐—ป๐—ฒ๐—ฒ๐—ฑ ๐— ๐——๐—  ๐˜๐—ต๐—ฎ๐˜ ๐—ฒ๐—บ๐—ฏ๐—ฟ๐—ฎ๐—ฐ๐—ฒ๐˜€ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜…๐—ถ๐˜๐˜†, ๐—ป๐—ผ๐˜ ๐—ถ๐—ด๐—ป๐—ผ๐—ฟ๐—ฒ๐˜€ ๐—ถ๐˜. zingg.ai/product/entity-resoโ€ฆ #ZinggAI #MDM #EntityResolution
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Sonal Goyal retweeted
A one-time entity resolution run works for reports, not businesses. Zingg's incremental resolution updates only what's changed, preserving IDs, so your entity graph stays current without breaking downstream systems. zingg.ai/post/incremental-idโ€ฆ #ZinggAI #IdentityResolution
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Imagine you get All India Rank 1 in the IIT-JEE. Then you do something even crazier - You turn down Computer Science. Instead, you pick a five-year MSc in Physics at @IITKanpur That was Rajesh Gopakumar, AIR 1 in JEE 1987. He went to @Princeton for his PhD, under a man who'd later win the Nobel. He co-created what physicists now call the Gopakumar-Vafa invariants, a piece of math sitting inside string theory. In 2001, he came home to build a theoretical physics institute in Bengaluru, which he runs today. Man truly lives on his own terms
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Sonal Goyal retweeted
Shelomo Dobkin, Director of Product Development at Orthodox Union, shares how integrating Zingg.AI with their Snowflake data warehouse transformed their entity resolution strategy. #ZinggAI #EntityResolution #MDM
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Sonal Goyal retweeted
Entity resolution looks simple. Then you re-run it. Should be quick, right? Prod is down an hour later. Every ID changed. CRM broken. Fraud model broken. It's not a batch job. It's a living graph. Every change is a mutation. Build or buy? ๐Ÿ‘‡ zingg.ai/post/build-vs-buy-eโ€ฆ #ZinggAI #MDM
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Sonal Goyal retweeted
MDM has evolved from rigid rule based matching to probabilistic, ML-driven entity resolution. Modern systems ask how likely records are to represent the same entity โ€” enabling persistent IDs and scalable, trustworthy golden records. Full Read-zingg.ai/post/evolution-of-mโ€ฆ #MDM #ZinggAI
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Sonal Goyal retweeted
โญ๐— ๐——๐—  ๐—ง๐—ผ๐—ผ๐—น๐˜€ ๐—›๐—ฎ๐˜ƒ๐—ฒ ๐—–๐—ต๐—ฎ๐—ป๐—ด๐—ฒ๐—ฑ, ๐—›๐—ฎ๐˜€ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐˜†? From rigid rule-based hubs to AI-powered entity resolution, Master Data Management has come a long way. We wrote a thorough breakdown of how we got here: shorturl.at/j0DFI #ZinggAI #MDM
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Sonal Goyal retweeted
Entity resolution looks simple. Then you re-run it. Should be quick, right? Prod is down an hour later. Every ID changed. CRM broken. Fraud model broken. It's not a batch job. It's a living graph. Every change is a mutation. Build or buy? ๐Ÿ‘‡ zingg.ai/post/build-vs-buy-eโ€ฆ #ZinggAI #MDM
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Sonal Goyal retweeted
Entity resolution looks simple. Then you re-run it. Should be quick, right? Prod is down an hour later. Every ID changed. CRM broken. Fraud model broken. It's not a batch job. It's a living graph. Every change is a mutation. Build or buy? ๐Ÿ‘‡ zingg.ai/post/build-vs-buy-eโ€ฆ #ZinggAI #MDM
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Sonal Goyal retweeted
Orthodox Union expected 10,000+ records needing manual review. Zingg narrowed it to ~1,000, uncovering entire extended family trees hiding in their data. zingg.ai/case-studies/undersโ€ฆ #ZinggAI #MDM
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Sonal Goyal retweeted
โญ ๐— ๐——๐—  ๐—ง๐—ผ๐—ผ๐—น๐˜€ ๐—›๐—ฎ๐˜ƒ๐—ฒ ๐—–๐—ต๐—ฎ๐—ป๐—ด๐—ฒ๐—ฑ -๐—›๐—ฎ๐˜€ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐˜†? From rigid rule-based hubs to AI-powered entity resolution โ€” Master Data Management has come a long way. We wrote a thorough breakdown of how we got here: shorturl.at/j0DFI #ZinggAI
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Sonal Goyal retweeted
โญ Is entity-centric matching slowing your data pipeline down? Missed matches. False positives. Data you can't trust. ๐Ÿ˜ฌ We unpack where it breaks ๐Ÿ‘‡ ๐Ÿ‘‰ zingg.ai/post/limits-of-entiโ€ฆ #DataMatching #DataQuality #Zingg
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