Blog

We make ‘null’ mistakes

Monday, January 09, 2012

Wherever software is created, mistakes are being made. Software providers often presume their products are bug-free, but software of that kind doesn’t exist. Our departments works hard to prevent it, yet in our HIquality Life Cycle new bugs could still be introduced, even in the oldest modules that have been in use for over 25 years already.  HIquality [...]

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First time right? Let your data decide!

Thursday, November 03, 2011

Data quality consultants will tell you that collecting data correctly, getting it right first time is essential, whilst in contrast almost every organisation actually puts most of their budget and labour into attempting to cleanse data after collection. The proactive versus reactive debate rages, but in fact data quality must be both a proactive and [...]

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An Easy mashup of ETL and DQ

Tuesday, October 25, 2011

Today I saw how easy it can be to make a mashup from ETL and DataQuality tools. More and more ETL vendors see the need to not only extract, transform and load data, but at the same time also enhance the data by hand with data quality tools. Most of them stick to so-called tick mark data [...]

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Komerc in Croatia

Tuesday, October 18, 2011

People find many ways to be unique, including in their choice of names and how they are written.  Common names may be written in any number of ways (Zachery, Zaccari, Zachery, Zakarey and so) and in any number of forms (Za’Korey, zaKori). This variation, and the importance that the customer attaches to it, reinforces the [...]

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Ask Me is linked with Any Body and relates with Walther Von Stolzing

Wednesday, October 12, 2011

Weird subject, isn’t it? Quite obvious for everybody, the persons ‘Ask Me’ and ‘Any Body’ are artificial names. They will never belong to a real person. How they relate to ‘Walter von Stolzing’ will follow. For over 25 years Human Inference has collected reference data, for instance on persons. Because of our reference set we immediately recognize [...]

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Know Your Customers – improving your Corporate Social Responsibility

Friday, September 30, 2011

It’s not only what you achieve, it’s also how you behave. Some small organizations can still behave somewhat undetected way to achieve successful results. For medium and large organizations that is not what governments and customers expect from them. Transparency on Corporate Social Responsibility (CSR) are key in this and therefore a significant number of countries agreed [...]

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200 years of family names

Thursday, August 18, 2011

Today is a memorable day for data quality in the Netherlands. Exactly two hundred years ago, on August 18, 1811, the French emperor (and occupier) Napoleon Bonaparte issued the decree that all citizens of the northern provinces of the Netherlands were to choose a surname. This name was very useful in the municipal registers of [...]

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What is equal? – challenges with sound and synonyms

Monday, August 08, 2011

What to do when basic string comparison (fuzzy search) techniques won’t give the right results? Fuzzy search helps to find matches in situations where people make typo’s (e.g. compare Human Inference with Human Inverence) or make up abbreviations (King str. with King street) or ignore diacritics (Sørensen and Soerensen). In case the ‘wrong word’ is [...]

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Has your name ever hurt you? – when nomen becomes omen

Monday, August 08, 2011

Addressing clients with the right data often means the difference between making a profit and not making a profit. Working with data quality experts has made me ever more consious of the value personal data represents for people. In this respect names are especially intriguing to me, as owners appear to identify with their name [...]

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Marketing? – Let your ingredients interact!

Friday, July 22, 2011

  Throughout the years Human Inference has carried out and supported research with regard to the importance, the impact and the perception of customer data quality in business environments. This reasearch shows that the phenomenon customer data quality is subject to a perception shift. In general, one could argue that, in the early years, data [...]

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