Blog Archive

Big Data and Analytics as a Service

A lot of organizations simply don't have the time, computing resources or expertise to handle big data processing in-house. They may have tried to take on some internal big data projects only to find that the expense of the project outweighs the benefits, or that they end up failing to meet important deadlines. Their lack of resources and expertise leaves them with the impression that analytics is a waste of time for their company.

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Why Even Small Brands Need Big Data

Big data is something that has been a core part of every enterprise strategy for a long time now, and the technology behind it is finally becoming accessible to smaller companies as well. We can expect to see some huge steps forward in the use of big data over the next year, with smaller companies being able to take advantage of analytics, tracking and sophisticated marketing techniques on a whole new level.

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Should You Explore Social Analytics?

The importance of web analytics is well understood. Tracking who comes to your website, when they come, how long they stay and what they do is essential if you want to optimize the performance of your site. However, that is not the only use of analytics. The most successful brands also use analytics for their mobile apps and for social media too.

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Using remarketing for conversion rate optimisation

It’s no secret the internet is the primary destination for all shoppers these days. From luxury Caribbean holidays to fancy Jimmy Choos and offices to rent. It’s all there. All waiting. All competing for buyer’s attention. Quite naturally, just like their high-street counterparts, online shoppers like to do some looking around. They like to shop for bargains. They like to make the right purchases. Typical online shopppers might visit 4, 5 or sometimes more websites going through their researching and buying decisions.

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How Big Data Provides Better Insights

Big data and web analytics are becoming an increasingly important part of online marketing - not just for web-only businesses but for almost every company. Gartner predicted that by 2015 there would be around 4.4 million jobs in the big data industry, and that only one third of those jobs would get filled successfully. This puts companies in a difficult position. Can you find the talent to handle your analytics in-house, or should you outsource your analytics to companies that already have the right expertise? Should you be spending money on analytics at all?

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Efficient Ways to Calculate Your Return on Analytics

Analytics are not simply a “nice to have” part of a business plan; they are essential to the growth and sustainability of any business. They offer clear, hard facts and insights into the profile of and the behaviour of your customers. They allow you to get both quantitative and qualitative information about where your visitors come from, how they behave and the things that they like and dislike about your website.

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