It is expected that these sources of data will continue to grow with digitization, prompting organizations to guide their business strategies by applying various innovative Data Science applications. Harnessing the right data and its precise analysis is set to be a competitive advantage for businesses across industries and can help them improve their customer engagement and retention, gain marketing insights, and also manage and eradicate various risks.
The move into the digital era during the pandemic was accelerated when the social distancing, and lockdowns necessitated by the pandemic disrupted the normal way of life. All the crisis responses that were prompted by the onset of the pandemic, from the basics like virtualization of education, remote work, increasing reliance on online connectivity to more complex things like building a robust digital infrastructure to check the community spread of coronavirus, serves as an example of the fact that that there is no end to innovations unlocked by digitization.
“Increasing digitization is fueled by data. An intelligent digital transformation needs to be backed by data science which shows how data can be used to reveal where digitisation is required, to what extent, how to overcome the challenges, and how to derive actionable insights. Without it, digitisation falls short of affecting any meaningful progress,” remarked Ravi Kaklasaria, CEO and Founder of SpringPeople an enterprise training and certification provider for latest technologies such as cloud computing, big data and many other technology fields.
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Themes Of Choice
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