9 results of data integration mistakes

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9results: Mistakes in data integration

Transcript of 9 results of data integration mistakes

Page 1: 9 results of data integration mistakes

9results: Mistakes in data integration

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What are the consequences of making mistakes in data integration?There are many ways that data integration can go wrong. Here are nine examples of those missteps.

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When you arrive at an airport to catch a flight, your identity has already been checked against multiple watch lists. A data integration mismatch would result in a possible missed flight.

Mismatch

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2 Mismeasure

How do you lose a space probe? Take note of this mission to Mars, and don’t let a measurement conversion mistake happen to you.

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Misidentify3

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Are you moving your best and most profitable customers from a premium product to a less-profitable product? By knowing your customers better, you can target new ones.

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Misprofile4

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Clients are left frustrated when an insurance claim is delayed, or even worse, canceled because of a delay in receiving and processing critical user information.

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Mismeaning5

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Do you know the diference between a spanner and a wrench? If you’re not aware of the meaning of your data, you might end up ordering the wrong set of tools to drive your business.

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Misbalance6

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Being able to integrate data helps your company to reduce data imbalance and have transparent processes. This approach helps to determine customer profitability.

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Misdesign7

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By not keeping a check on data design and validation, companiesend up with dirty data, which is useless or fake.

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Mistime8

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By reading forecast data incorrectly, one can mistime the occurrence of weather events, which could prove costly for a business.

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Misdocument9

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If the value of data being converted is not known, it may lead to improper documentation or lost focus on things that are important.

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A data integration solution allows you to:

• Better understand your customers• Support business and IT collaboration• Reduce project time lines with automated

development• Gain targeted cross-sell and up-sell

opportunities• Achieve data governance objectives • Retain your most profitable customers

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To learn how to use data integration solutions to better understand and delight your customers, visit our web page.

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