Kickstart your data integration initiative Companies are bombarded with a huge amount of data such as text, figures, images, video, etc. streaming in from multiple channels like feeds, email, and Twitter at a non-stop pace. Information is now pouring in from all fronts, and it all needs to be analyzed, categorized and properly integrated.

The discipline of data integration comprises the practices, architectural techniques, and tools that ingest, transform, and combine data from several platforms within the enterprise and beyond. Gartner estimates that revenue…

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How to tackle rising analytics costs using Big Data Analytics As we have entered the age of big data analytics, we are discovering innovative opportunities everywhere. Organizations are becoming proficient at analyzing huge amounts of structured and unstructured data, and telling their customers exactly what they need to buy.

But, along with the advent of new business opportunities, comes the additional costs which are needed to maintain and secure such a massive amount of data. Many companies, especially in…

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4 ways to improve your data quality  This data explosion is pushing enterprises in a more data- driven direction. Organizations are now performing complex analysis on their data. It helps them analyse the market trends, develop streamlined operations and enhance the customer experience

IBM states that “The majority of data in the world has been generated over the last few years”. As we have adopted the Internet of Things, we’re now on track…

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Use Big Data to increase customer loyalty An increasing number of businesses are attempting to make sense of the vast amounts of data generated through personal, societal, and industrial internet interactions from social media, mobile devices, and digital sensors.

Such information helps companies target customer communications, marketing campaigns, and special offers. Today, customer loyalty is paramount because the customer is in the driver’s seat when it comes to making…

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Big Data: Python, R or Julia?  Big data projects are becoming common. Organizations seek to take advantage of all that big data has to offer. While many companies are on board with the idea of implementing a big data project, properly executing one is another matter entirely.

Many factors have to be considered, from what types of legacy systems you have at your disposal to the talent and skills within your organization in the first place. One…

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