Digital media publishers have taken their time to incorporate big data tools into their businesses. There have been marked improvements in clarity on use cases for big data and toolsets have also grown accordingly. Big data helps in the content creation side catering to the readers and the advertisers. Keeping the target audience in mind,big data tools optimizes decisions and effectively monetizes generated traffic. Relying on editorial expertise and sound journalistic judgements are fast becoming things of the past. However web analytics softwares like Google analytics, Webtrends also help in tracking content consumption patterns.To know more, please follow:

http://www.dataversity.net/big-data-tools-for-publishers/

Big data is extending the range of data types in banks that can be covered beyond those common transaction data, and it helps to address problems. Some important areas in banking like fraud analytics, customer analytics and web analytics are also enhanced by big data. Today's improved technologies and frameworks enable banks to get customer data, graph data and geo-location data easily from customers, other banking channels etc. which in turn yields significant insights that can be used in customer marketing, risk management and infrastructure optimization. Big data projects are beneficial as they enhance areas like web security, compliance checks and customer analytics and thus cause the banks to make relevant investments in it. Banks need to know and understand the characteristics of the data they need and need to capture more information beyond risk and marketing data. If the users have sound idea of the nature of the available data, their strategies of making a rough analysis and then use the results to guide them in refining the analysis, will be more effective. This approach helps banks to analyze more data and gain insights that were previously difficult to achieve, without changing the current analytical infrastructure of the banks. Read more about this in Jaroslaw Knapik (Senior Analyst, Financial Services Technology)'s article link:http://www.cloudcomputing-news.net/news/2014/jun/16/big-data-set-to-boost-the-effectiveness-of-analytics-in-banking/

Google had maintained a complete secrecy about the algorithm it uses to generate site links. Google includes pages in the sitelinks that don't appear to be the healthiest pages in traffic acquisition, engagement, or any other supporting data point. Why is Google selecting these pages? Below are three possible explanations:

• Something for Everyone.
• Search Trends.
• Testing.

Examining web analytics data on site content and to try and "save users’ time" are something organizations do on a daily basis. There is a common assumption that Google has a clever way of determining the popularity of site pages without knowing the website analytics.The method that Google utilizes to determine sitelinks is still somewhat of a mystery. But data shows that Google is anticipating the popularity and health of pages within a site and in many cases including one sitelink that is not typically very popular on the site.

Mark Ryan, Lead Analyst, Extractable writes on this aspect in detail. To read, visit the following link:

http://www.clickz.com/clickz/column/2342233/comparing-google-sitelinks-with-google-analytics-data

Analytics can help businesses greatly to increase their online sales. Surprisingly, the potential of analytics is not yet fully uncovered. In most of the cases, either the business owners or the managers do not take the full advantage of it or they don’t know how to use it.

So, how should businesses use Analytics and interpret them to decrease attrition rates and increase sales on their website? See the tips here: http://cio.economictimes.indiatimes.com/news/business-analytics/8-ways-to-use-web-analytics-to-increase-online-sales/32728371