CATEGORY: data

Reliable Software Tech Talk on Data Analytics

Data is information collected in a prescribed manner for use as a reference or analysis. Raw data is collected and properly disseminated to create a definite set of information related to a particular topic. Once created, data can be used as a building block for creating new insights through Analytics. These are different types of Data Analytics:

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Why a Predictive Model with High Accuracy might not be a Good Model

Why a Predictive Model with High Accuracy might not be a Good Model

Suppose you have a predictive model which has >85% accuracy - but is the model a good model? Just based on an accuracy we can’t judge whether a model is good or not. There are several scores to check the quality of a model. The Area Under the Curve (AUC) Score plays an important role. The AUC score of a model should be at least >0.6. We can also consider Root Mean Squared Error (RMSE) score[…]

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Data Quality Concerns in the Health care Industry

Data Quality Concerns in the Health care Industry

Of all the industries in which we work, none compare to healthcare for the complexity of data quality management. At the same time, with real people’s lives at stake, bad or incomplete data in healthcare has the potential to cause more harm than in virtually any other environment.

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How the Chief Data Officer helps companies manage data effectively

How the Chief Data Officer helps companies manage data effectively

Thanks to the headlines, the average person probably thinks a Chief Data Officer’s role is locking down an organization’s databases against hackers and sending out “Our privacy policy has changed” emails. But for organizations leading the way in digital transformation, the CDO is responsible not for corralling information, but for creating value. They play increasingly-critical strategic roles[…]

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Five Digital Transformation Trends in Automotive Industry

Five Digital Transformation Trends in Automotive Industry

The rush of companies making the digital transformation is leading to “business as usual” not seeming so usual, and the automotive industry is no exception. Here are five digital transformation trends automakers should be aware of:

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