Modern enterprise technology have made life easier for firms on many ways. The development of technologies that could manage corporate-wide operations and processes heralded the beginning of this era. With companies like Oracle, PeopleSoft, SAP, IBM, and others becoming obvious must-haves for any firm that sought to scale, the MRPs, ERPs, and eventually CRMs, were seeing an unheard-of expansion.
Businesses that have successfully acquired data and found ways to derive greater values from information as simple as names, addresses, pictures, and videos to relatively trickier data like users’ GPS coordinates and your computer’s browsing history which could require users’ consent, have thrived in this new age world.
Data preparation involves cleaning, structuring, and enriching raw data into the desired format for better decision-making in less time. This is an integral part of the data analytics process since the input data is coming from a variety of sources, formats, forms, frequencies, and quality.