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Every business should look for ways to monetize big data and use it to optimize your business model. The number of companies using big data is growing at an accelerated rate. One poll found that 53% of businesses were using big data analytics in 2017. However, companies need to use big data wisely.
Insufficient training data in the minority class — In domains where datacollection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017).
Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in datacollection and volume. HBR Review May/June 2017.
The surrogate model is often a simple linear model or a decision tree, which are innately interpretable, so the datacollected from the perturbations and the corresponding class output can provide a good indication on what influences the model’s decision. Conference on Knowledge Discovery and DataMining, pp.
In this post we will look mobile sites first, both datacollection and analysis, and then mobile applications. Upsight (nee Kontagent) provides mobile app analytics, with a pinch of advanced segmentation (including sweet cohort analysis ) and big datamining thrown in for good measure. Tag your mobile website.
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