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Looking at the Future of Data Analysis With Qlik Sense

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Data analysis is becoming decentralized in many organizations, making them more intelligently nimble, and new tools are making analysis possible for non-data specialists.

Data analysis and reporting have become much more sophisticated over the last five years. Team roles such as data scientists and Web analysts have gone from being rarely used contractors to a standard part of every Web team, and a common target of recruiters. These days it’s hard to find a conference that doesn’t somehow promote its connection to “Big Data.” In addition, the advancement of tools for analysts in this space has been amazing.

A few of the data analysis tools on the market have become so powerful that we are seeing folks in non-data roles, such as marketing and sales professionals, utilizing data analysis tools to gain insights. Previously in this column we’ve looked at several different data visualization tools such as Klipfolio, BIME, and Leftronic. Today we are going to dive a bit deeper and focus on a relatively new tool from a longtime player in the data analysis space that not only excels in data reporting but also empowers non-technical users to combine and manipulate large datasets. This decentralization of the data analysis function plays a critical part in making organizations more intelligently nimble and minimizes dependencies between internal roles.

Qlik is one of the more established organizations in the data manipulation and reporting space. They are one of the few that can claim to have been around long before the “Big Data” craze began. In September of this year, the team over at Qlik launched a new application simply called Qlik Sense. While Qlik is usually brought up in discussions regarding large enterprise business intelligence along with competing products at organizations such as IBM, SAP, and MicroStrategy, the new version of their product seems to open analysis doors for mere mortal Web analysts such as myself. This new tool brings a friendlier UI, more powerful data-gathering functions, and enhanced visualization tools to the market. We got a chance to play around with the tool and immediately noticed some key differentiators.

1. Web Server or Local Versions:

While many data visualization tools are focusing strictly on hosted OR local tools, Qlik is providing both. This makes a big difference for large organizations where external data storage does not meet security requirements and setting up internal servers can be a challenge.

Read Mark’s full article on ClickZ