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Kumar SrivastavaClearStory Data
It took AI just a couple of years to go from undercurrent to mainstream. But despite rapid progress on many fronts, AI still is something few understand and fewer yet can master. Here are some pointers on how to make it work for you, regardless of where
Data that contains greater variety, arriving in increasing volumes and with more velocity (also known as the 3 Vs). Chief Technology OfficerinFinance (non-banking)2 years ago It is the latter - the data variety and the intended insights qualify to determine the need for big data. ...
Big data’s properties provide a more thorough insight into client behavior, market trends, and operational effectiveness. Your business can extract essential insights from extensive data using sophisticated analytics tools and methodologies, which can guide strategic planning and enhance overall performance...
The application of big data analytics can also assess the opportunity for improved efficiency across internal processes and resources. One such application could be surfacing insights from the data as to the optimal way to resource a particular department to maximize the KPIs they are accountable for...
Data visualization This is the part of the big data process wherein the data is converted into visual insights that can be easily interpreted in a manner that can be easily identified by anybody regardless of their technical and big data skills. There are various tools that convert the data ...
We will explore the concept of Big Data Analytics, its features, benefits, and methods for deriving valuable insights from vast amounts of unprocessed data.
Analyzing large volumes of data is only part of what makes big data analytics different from traditional data analytics
hard-to-manage volumes of data – both structured and unstructured – that inundate businesses on a day-to-day basis. But it’s not just the type or amount of data that’s important, it’s what organizations do with the data that matters. Big data can be analyzed for insights that impr...