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Be Netflix Intelligent to Grow your Business. Stop Shooting in the Dark!

I am a big fan of Netflix shows, but even a bigger fan of Netflix itself. The reason being Netflix’s business intelligence (BI) that is secretly predicting the future of sales and marketing. If you also want to be a smart marketer and take your business to new heights, being Netflix intelligent is something you would want to be like. Let’s understand, why? How Netflix's Business Intelligence is Quickly changing the Sales and Marketing Landscape? If you are a Netflix subscriber, you would have noticed that Netflix recommends types of shows or movies that you love to binge on. While most businesses now understand the value of data collection and data mining to make informed decisions and meet individual preferences, Netflix goes a step further. The media service provider not just recommends movies or shows to individuals based on their preferences, but also ensures no single experience even for the...
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Why is Big Data Analytics the Key to Stay Ahead of Competition?

1stScreenshot from 2017-08-14 12:46:40.pngNo matter what type your business is, data analysis always plays a vital role in providing you a competitive edge and bring innovation in the way you do your business. Collating data to discover new business opportunities and meet customer expectations is not something very new, dating back to the decade of 70s. However, what has significantly changed since then is the amount of data growing everyday, its diversity and analytics techniques to make sense out of it.The term Big Data was coined considering the abundance of data that exists today in structured, semi-structured and unstructured form. According to a new report from IBM Marketing Cloud, 90% of data that exists today was created in the last two years alone. The report further adds that nearly 2.5 quintillion bytes of data is created every day from numerous sources, like social media sites, business apps, public web, sensors connected to Internet of...
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Apache Hadoop vs Apache Spark: Two Popular Big Data Frameworks Compared

Image result for apache sparkThe term Big Data has created a lot of hype already in the business world. Chief managers know that their marketing strategies are most likely to yield successful results when planned around big data analytics. For simple reasons, use of big data analytics helps improve business intelligence, boost lead generation efforts, provide personalized experiences to customers and turn them into loyal ones. However, it’s a challenging task to make sense of vast amounts of data that exists in multi-structured formats like images, videos, weblogs, sensor data, etc.In order to store, process and analyze terabytes and even petabytes of such information, one needs to put into use big data frameworks. In this blog, I am offering an insight and analogy between two such very popular big data technologies - Apache Hadoop and Apache Spark.Let’s First Understand What Hadoop and Spark are?Hadoop: Hadoop, an Apache.org. Project, was the first big data framework to...
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7 Tools for Successful Big Data Analytics

big-data - ana.jpgImage Courtesy: studyin-uk.inData collection and analytics have always been crucial to chief business managers’ capability of making right business decisions. But unlike past, databases now have data with high volume, velocity, and veracity. Going by a big data infographic contributed by Ben Walker of Voucher Cloud in 2015, around 2.5 quintillion Bytes of data is created every day. The amount is good enough to fill 10 million Blu-ray discs. Given the gigantic amount of data existing in databases nowadays, data industry coined a new term for it - Big Data. Big Data is basically large volumes of information present in databases in structured, semi-structured and unstructured form.Image source: A lot of hype has already been created around big data as its analysis opens new avenues for business managers to boost sales by targeting or retargeting right customers. Big data analytics helps understand what customers want to buy and what they don’t...
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Big Data Retail Merchandising Strategy for SMBs

Retail merchandising strategy is paramount for small and medium sized retailers to boost sales of their products. It’s imperative to explore every corner of business strategy landscape to survive tough competition. For example, determining the place where a particular type of product needs to be placed so that maximum prospective customers can see it with ease, which can be the difference between a sale and non-sale.Retail merchandising involves:Launching right productSetting right pricePositioning Products at the right placesPlacing products in right amountKnowing types of customers buying a particular productDrawing traffic to particular products Improving customer relationshipBuying trendThe problem is that with all this, there comes a huge volume of disparate data, which is basically useless if one can’t run proper analytics on it to figure out sales patterns, optimum positioning and buying behaviours of customers and perhaps more importantly so, the prospects.Use of analytic tools could do wonders for small and medium...
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How Will Big Data Impact Effective Lead Generation for better Conversions?

Lead-Generation-Methods-1 A lot of songs have been sung about the virtues of having precise information at the precise time. And these songs just don’t get old. If anything, they are only getting BIG.  People are looking for information (read products and services) all across the web. You, as a salesperson might have an offering but the problem is - what are the chances that the person interested in it will find you and reach across to you? Frankly, the chances are quite less. So what do you do to increase your chances to make a sale? Well, obviously the best thing you can do is to find and reach across to that person before he decides to give his money to someone else. But how to do that? Traditional lead generation methods are only so effective as to give you an excuse of an alternate to shooting in the dark. The...
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Evon is a Software Consultancy based in India. We are a 250+ people company. We primarily service clients who want to either completely outsource a new idea or are looking to build an offshore team

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