CATEGORY: data

Digital transformation is something we talk a lot about here at Reliable Software, and for good reason. It’s a business strategy that integrates the broadest possible array of channels, functions and processes into a coherent and constantly-evolving whole. When done effectively, digital transformation positions organizations to identify and take advantage of new opportunities while finding new[…]

The era of Big Data is in many ways the era of data integration. While some organization could theoretically be fortunate enough to have end-to-end control over all relevant data, in the real world data comes from a variety of sources, in a variety of formats, and at varying speeds. The process of bringing all that data together into an integrated whole is known as data integration, and doing it[…]

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:

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 for[…]

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.