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      6 Must-Have Features for a Business Analytics Tool

      Jul 08, 2014

      3 minute read

      Analytics is driving the business strategies and when we think of people who are working on these analytics, we think of Data Scientists or Data Analysts. These people develop complex codes and algorithms to draw insights from the data by using SAS, SPSS and R tools.
      But, the strategies are made and driven by Business Analysts because they have a better conception of business and customers as they deals with customers directly & understand business problems much better.
      So effectively, the data is managed by somebody else and the decisions based on that data are taken by somebody else! This creates a gap. Most of the times, the outcomes that should come out of that data are not released fully, as, the vision shared by both of these groups are extremely divergent. And therefore, the need of the hour is to shift the power of analytics from the hands of Data Scientist to that of Business Analyst to empower them to focus on business problems better.

      Analytical Gap

      However, conventional analytics still comes with complex and sophisticated UI requiring coding and IT intervention to setup. If the Business Analyst has to be able to use the analytics tool then there are some features an analytical tool must have.

      6 features that an analytical tool for Business Analysts must have

      1. Intuitive Interface:
        It should allow the user to perform analytical operations through an intuitive interface without the use of coding or programming.
      2. Data Blending Capabilities:
        Since the business users get data from various sources, the tool should have advanced data blending and enrichment capabilities.
      3. Ready to Consume Insights:
        In today’s fast paced business environment when a delay of seconds can dispel your customers, the tool should be able to deliver ready to consume business intelligence.
      4. Easy to Share:
        It should have easy and controllable sharing capabilities to deliver insights over network in a multiuser environment.
      5. Scalable Analytics:
        It should be scalable to enable customized analytics and new modules development for the changing business needs.
      6. Integration Support:
        It should support integration to other major BI, analytics or data visualization tools so as to enable seamless transportability and compatibility of data.

      There are various tools available in the market having some or all of these features.

      Platforms[/vc_column_text][vc_column_text dp_animation=””]While tools like SAS, SPSS and R feature advanced analytic capabilities, there are platforms which offer highly scalable and integrated data visualization, e.g. Tableau, QlikView. Some platforms which offer a blend of these features with other integration support to other tools are Alteryx, Microstrategy and Spotfire. Tools such as Alteryx provides advanced analytical capabilities, highly agile data blending, third party data enrichment, drag and drop UI, and easy to share apps publishing cloud system. Users can also integrate the insights derived from Alteryx into data visualization tools like Tableau for instant consumption.

      About Grazitti Alteryx Services

      Looking for a complete analytics solution for your data needs? Grazitti Alteryx Services empower you to blend complex data, build powerful analytics applications and share insights in a much easier way. We are a Preferred Partner and Value Added Reseller of Alteryx Products in India. To know more or schedule a meeting, drop us a mail at [email protected]

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