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-maโฆ
#Zinggai #MDM
Legacy data tools feel like duct tape on a sinking ship.ย Manual deduplication. Single-domain fixes. Complex spreadsheets.
๐ฌ๐ผ๐ ๐ป๐ฒ๐ฒ๐ฑ ๐ ๐๐ ๐๐ต๐ฎ๐ ๐ฒ๐บ๐ฏ๐ฟ๐ฎ๐ฐ๐ฒ๐ ๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐
๐ถ๐๐, ๐ป๐ผ๐ ๐ถ๐ด๐ป๐ผ๐ฟ๐ฒ๐ ๐ถ๐.
zingg.ai/product/entity-resoโฆ
#ZinggAI #MDM #EntityResolution
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-idโฆ
#ZinggAI #EntityResolution
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-idโฆ
#ZinggAI #IdentityResolution
Deterministic matching resolves record-sharing trusted IDs instantly. Probabilistic matching scores similarity when no shared identifier exists. Enterprise data needs both, merged into one unified entity graph โ not two disconnected clusters.
zingg.ai/post/deterministic-โฆ
#ZinggAI #MDM
Fragmented regulatory records became Redica Systems' single source of truth. The same informationโscattered across multiple sources, no unique identifiers, no clean matches
#MDM #IdentityResolution #ZinggAI
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-mโฆ
#MDM #ZinggAI
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-mโฆ
#MDM #ZinggAI
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-mโฆ
#MDM #ZinggAI
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? ๐
zingg.ai/post/build-vs-buy-eโฆ
#ZinggAI #MDM
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? ๐
zingg.ai/post/build-vs-buy-eโฆ
#ZinggAI #MDM
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? ๐
zingg.ai/post/build-vs-buy-eโฆ
#ZinggAI #MDM
1 million records โ ~500 billion possible pairs to check.
Compare every record to every other record, and this is the reason legacy MDM projects stall
๐ง๐ต๐ฒ ๐๐ฎ๐ ๐ผ๐๐ ๐ถ๐๐ป'๐ ๐บ๐ผ๐ฟ๐ฒ ๐ฐ๐ผ๐บ๐ฝ๐๐๐ฒ. ๐๐'๐ ๐ณ๐ฒ๐๐ฒ๐ฟ ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ฟ๐ถ๐๐ผ๐ป๐
zingg.ai/post/why-legacy-mdmโฆ
#MDM
โญ๐ ๐๐ ๐ง๐ผ๐ผ๐น๐ ๐๐ฎ๐๐ฒ ๐๐ต๐ฎ๐ป๐ด๐ฒ๐ฑ, ๐๐ฎ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐?
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: zingg.ai/post/evolution-of-mโฆ
#ZinggAI #MDM
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
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
๐ก Early in their journey, Redica Systems adopted Zingg to unify regulatory records across millions of entitiesโwithout reinventing the wheel.
Watch CTO Arijit S. explain why entity resolution became a mission.
#Redica #ZinggAI #EntityResolution
โญ ๐ ๐๐ ๐ง๐ผ๐ผ๐น๐ ๐๐ฎ๐๐ฒ ๐๐ต๐ฎ๐ป๐ด๐ฒ๐ฑ -๐๐ฎ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐?
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