Posts: Data

Data Quality

Apr 6, 2019

Data is like air, it is all around you, but you won’t notice it’s quality until it becomes hard to breathe.

An organization with bad or questionable data quality has a problem, it is hard to make sound decisions based on bad quality data. In such organizations, confidence in data is generally low. As per one study by Forbes/KPMG, 84% of CEOs are worried about poor strategic decision making due to bad data. To make matters worse, this data quality problem is becoming more severe year over year because of data growth, an average 40%, often driven by digital transformation. Like air quality, data quality should not drop to the level that it is irreversible and cause the organization to suffer.

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Xodiac is an authorized DCAM partner

Feb 25, 2019

Xodiac has partnered with EDM Council and is now authorized to use the Data Management Capability Assessment Model (DCAM) framework to assess data management maturity of any of its customers.

DCAM is a best practice framework for program development, training and benchmarking. It has a systematic and structured approach to define and measure data management capability for an organization. DCAM objectives are organized in 8 categories, 36 capabilities & 112 sub-capabilities to cover all aspects of data management.

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Data Journey

Feb 11, 2019

We have all seen infographics on how much data is produced in one minute on the internet. The numbers are increasing rapidly year over year. This is not only true for social media companies but also for every organizations’ internal data. Due to the increase in the digitization of processes, all organizations irrespective of size are collecting more data than ever before. It seems like organizations are drowning in all types of data. Structured, unstructured, semi structured data exist in many places, such as in managed stores, in under-the-desk (UTD) data stores, on laptops, on shared drives (internal or cloud drives), hidden in email, Excelmarts, and more. The net effect is that organizations do no have a complete picture of their data landscape.

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