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According to ‘The Economist’, data is the new oil. It is now the world’s most valuable resource. The volume of data available to organizations to capture, store, and analyze has changed the ways in which organizations address innovation, and analytics is a true competitive differentiator.

Unfortunately, business analysts, data scientists, and other line of business users performing self-service analytics are spending a majority of their time preparing data for analysis rather than actually garnering and sharing the insights to be found in it (1), even with the help of self-service data prep tools like Alteryx, Trifacta, and Tableau’s Maestro (coming soon). Read more

Tableau’s powerful data discovery and visual analytics capabilities make it an ideal tool for enabling end users to achieve data driven insights at the speed of business.  It puts data in the hands of the business users who have the most to gain from it in an intuitive manner that allows for rapid visualization and actionable insight through self-service analytics. Read more

Ironside’s Crystal Meyers was featured in Vol. 19, No. 4 of TDWI’s Business Intelligence Journal. Her points are particularly relevant as business analytics begins a more pronounced shift toward a bimodal model in 2016.

Reprinted with permission of 1105 Media, Inc. As published in TDWI’s Business Intelligence Journal. Read more

Data is scary. It comes in many types and requires even more tools to manage, which can make finding the information you’re looking for an intimidating prospect. Luckily, dashboards can help you get relevant data in a format that works for the people who need it most. This article will explore the core concepts behind good dashboard design and put you on the road to making sense of all that data out there. Read more

Due to the rapid pace of today’s business world, new strategies, products, projects, and tools are being introduced on a constant basis. This means that the speed of business often does not match the speed at which IT departments, which tend to have to follow rigorous testing and governance policies, can provide ways to measure the success of the given implementation. With tools like social media and Google at our fingertips to provide constant and immediate information at our every whim, the ability to get answers to business questions with the same deftness as we can in our personal lives becomes expected by BI end users. That’s why accounting for self-service options is essential. Read more

As the velocity of business increases, business users are less willing to wait for the IT department to create custom reports and analytics. In order for customer analytics to be truly effective, they must be made available to all customer-facing personnel and attain the status of supporting fact-based decision-making used by the entire enterprise. At the same time, BI teams would like to offload report and analytics creation duties to users and focus on morevalue-added activities.

A new crop of self-service BI and analytics tools promises to empower users while liberating the BI team from ad hoc reporting tasks. To work, these tools must be easier to use than previous generations of BI tools, and give the BI team a measure of control over the semantic representation and use of back-end systems and oversight of the creation of standardized reports and dashboards for decision-making. Read more