Maximize the value of your data

Infographic | January 16, 2018

Predicting the ever-evolving consumer behavior is one of the biggest challenges faced by marketers around the world. Well, it has always been a challenging task, but today, it is even harder as consumers are constantly being exposed to new technologies, products and even new wants! With a plethora buying options to their disposal, today’s consumers’ buying behavior flickers way too often. Now, thanks to the advent of e-commerce and mobile commerce, buying a product or service is not a simple task it used to be. As they say, ‘Choices make life more complex,’ buying a product or a service in the present era is accompanied by a lot of comparisons and checking out for deals. Businesses face the brunt of this as many a time, after spending a good deal of money to promote their products, customers often leave the product in the shopping cart – never to return! While all this is heart-wrenching for the businesses who keep losing the sale to competitors, all hope is not lost. Smart marketers put their money on data analytics to best understand their customers’ behavior.

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Apache Spark saw tremendous growth in 2014, and as the results of this survey demonstrate, Spark’s growth comes not only from a huge increase in the number of contributors but also from increases in usage across a variety of organizations and functional roles. The survey also indicates that Spark is increasingly used outside of Hadoop environments – a revelation that promises an exciting future for Spark. Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the team who created Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products

Infographic | October 12, 2018

This allows businesses to serve their customers better and to improve customer satisfaction. Analyzing a huge amount of email content send by customers such as reviews and feedback. Spam detecting declines financial losses and improve email users’ satisfaction. Email spam detection.

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The story of how data became big started many years before the current buzz around the topic. The following Infographic depicts the major milestones in the history of sizing data volumes, showcasing how Big Data has evolved.

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The following infographic provides you with 3 easy to understand examples on how we can utilize big data in day to day events turning data into Actionable Intelligence.

Infographic | January 9, 2018

Build globally-leading capabilities in high-growth areas. Accelerate firms’ innovation in service delivery via development of new solutions and business model transformation. Plug firms into national co-innovation living labs and consortia. Create data-sharing partnerships and sandboxes in Singapore.