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Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its dataanalytics. The types of dataanalyticsPredictiveanalytics: Predictiveanalytics helps to identify trends, correlations and causation within one or more datasets.
This is where Big Data often comes into play as the source material. Cleaning and Preparing the Data (DataWrangling) Raw data is almost always messy. What Industries Benefit Most from Big Data and Data Science?
Big data isn’t an abstract concept anymore, as so much data comes from social media, healthcare data, and customer records, so knowing how to parse all of that is needed. This pushes into big data as well, as many companies now have significant amounts of data and large datalakes that need analyzing.
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