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Catching The Dodgers And Raising Taxes – Without “Raising Taxes”

What a year it’s been.  The financial markets have been in turmoil and we’re deep inside a recession.  I pay my taxes, as I’m sure you do, but I’m convinced that many others don’t.  I don’t mind paying – honest, I don’t.  What I object to is the thought that others are not paying their fair share.  Sometimes this may be through an innocent misunderstanding, but sometimes I’m sure it’s through deliberate action.  Can I call these people “dodgers”?

So how can we catch the tax dodgers?  If we can catch them, then maybe our state and local government offices can continue to provide the level of service we’ve expected of them rather than having to cut-back in light of the recession we find ourselves in.

I was reading about a number of examples where state authorities have actually been raising taxes … without raising taxes.  Sounds implausible doesn’t it?

For example, the State of Texas uses data integration technology to recover $70 million per year in uncollected sales and use taxes.  How do they do this?  They use Identity Resolution, technology which enables companies and government organizations to search and match identity data in batch and real-time.  Have a look at our website to understand how Identity Resolution is helping organizations find criminals, uncover tax fraud and help ‘raise’ taxes without really raising taxes.

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3 Responses to Catching The Dodgers And Raising Taxes – Without “Raising Taxes”

  1. Nic says:

    IBM bought a technogolgy around 4 years ago that had previously been used by the gambling industry to spot facial patterns, and people who had been with other people at times when they had been taken for significant amounts of cash.
    we’re talking multiple millions within 15 minutes.
    As far as i know, from talking to connections, this has and is now being implemented mostly for defence organisations.
    Can you trump that kind of data integration?

  2. Ivan Chong says:

    Sounds like you are referring to IBM’s entity analytics technology. Informatica and IBM have taken different approaches when it comes to Identity Resolution. I believe the technology you mentioned has been repackaged into IBM’s EAS offering and not their data integration tools. Since data integration is the focus at Informatica, our Identity Resolution is fully integrated into our data integration platform. Another difference is that Informatica’s Identity Resolution supports the ability to match across languages without diluting the data via transliteration. Intelligence agencies around the globe require this capability and the match precision achieved with this approach, as well as the scalability to sustain tremendous data volumes. As evidence, Informatica Identity Resolution has more customers across the globe than any other offering in this space.

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