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Python users probably know data matching by the name “string matching”. Excel users probably use the “v lookup” and the “fuzzy lookup” functions. Business people will just tell you that there are too many duplicates and that they can’t find the same data in other business systems. Almost every system has their own version of […]

The same customer has been coming into your local stores for years, but each time they’re visiting different locations, using different phone numbers and different forms of identification, and paying with different forms of payment. Just recently they’ve started purchasing items from your online store under the 8th customer account in your systems. Sometimes they […]

When mergers and acquisitions happen there’s usually a rush to standardize, synchronize and merge at least some of the data (information), systems, processes and resources. This is in an effort to capitalize on strategic synergies aiming to achieve aggressive ROI targets, which requires quick action and implementation. The data is usually the first priority because […]

It’s probably pretty clear by now that people and company names don’t match, and that mismatching data makes it very difficult to find duplicates (or to link/sync/relate the same records within and across different data sources). This is really the core of master data management but it’s also data quality, and it’s part of everyday […]

I took the no-code path to big data. I still don’t use traditional data tools like R, Python, or SQL. I’m bilingual in English/Spanish so I know how much time and effort it takes to become proficient in other languages. But I love learning alongside my technical friends and colleagues. I never felt compelled to […]