This study reflects on the quality aspects of urban meteorological time series obtained by crowdsourcing, specifically the air temperature and humidity data originating from personal weather statio...
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Technology is an enabler. It’s a connection between information and people, and it’s a vital part of Master Data Management. But it’s not where the MDM journey begins and ends. Successful MDM should be part of a much bigger business transformation, a cultural shift toward a data-centric way of thinking across the business. This is because an MDM solution will only ever be as good as the data it processes. Without the right data, your MDM software will always fall short of expectations. ...
One of the things I talk to organizations about regularly when they’re trying to get their heads around big data and analytics is the importance of data quality before they start with analytics. Here, I am reminded of the old database acronym of GIGO (garbage in, garbage out), and yet I am astounded by how many companies still skip this most important step. For example, the other day I was talking to a business professional who could not understand why response rates to campaigns and activities were so low. Nor why they couldn’t really use ...
evolution of Big Data also paved way for more emphasis on Data Quality and its importance. Today we cannot imagine any data projects or data platforms without a Data Quality framework Q)...
The Pillars of Data Quality & Governance Data Quality: This foundation ensures the accuracy, completeness, consistency, and relevance of your data. Activities like data profiling, cleansing...
Nowaday, statistical data with coherence, accuracy and timeliness are necessary to government, company and research center for decision making or research. In other words, the importance of statist...
Managing data quality isn't easy. Carol Newcomb explains the importance of data quality and 5 things to include in a sustainable data quality plan.
Learn how to make your team understand the importance of data quality for effective decision-making and operations.
Managing data quality isn't easy. Carol Newcomb explains the importance of data quality and 5 things to include in a sustainable data quality plan.