#Tableau desktop vs prep manual#

The findings assume that the source is of average complexity and is not optimal for visualization without pre-scrubbing. This exercise was approached with the assumption that we need to cover the gamut of connecting to data sources, through data cleansing, to consuming and visualizing the data. Details related to the seven core pieces of functionality are found throughout this document, and the purpose of the executive summary to provide a glimpse of conclusions and context into how the analysis was performed by breaking the functionality of each product into comparable categories, then reviewing how the functionality works with highly skilled analysts, who have vast experience with the tools to determine how each product handles the criteria of the category. The purpose of this article is to assist organizations in making informed decisions when looking at one or both products. On with the show! Alteryx and Tableau Comparison Whitepaper When youвЂ™re ready to discuss and dig further into each solution, please reach out to us, and we can help you figure out, which makes sense for your unique situation.

If you have your data ready but need help making sense of it and getting it in the hands of the decision-makers, Tableau is an amazing choice.ДЇor those of you looking for a deep dive into the two platforms, weвЂ™ve written up a detailed technical analysis of each platform. If you need help with data processes, Alteryx is a fantastic platform with instant return on investment. The right tool for you at the moment is dependent on where youвЂ™re experiencing the most pain. At Capitalize Consulting, we believe that Alteryx and Tableau are best-of-breed technologies that complement each other more than they compete. Your organization is completing most of the tasks above manually or with other tools. The truth is, most organizations need what Alteryx and Tableau provide. Most Organizations Need Alteryx and Tableau

Data is needed on maps with dynamic filtering, zooming, and the ability to drill to detail.

Large groups need to consume data easily with the ability to filter, sort, and analyze.

Data needs to be quickly вЂњsliced and dicedвЂќ to find anomalies and areas of interest.

Data needs to be presented visually to a broad audience.

Organizations need predictive models built and automated for forecasting or predicting future results, failures, sales, etc.Analysts need to be able to answer geospatial questions (distances, trade areas, drive times, geocoding).Analysts need the power to do complex data mappings and manipulations.

#Tableau desktop vs prep manual#

Manual data processes need to be automated and documented.Data requires clean-up before it can be passed to a business intelligence tool.Data needs to be accessed, integrated, and consolidated from many locations (files, databases, cloud/REST API).

Just because itвЂ™s possible doesnвЂ™t mean itвЂ™s a good idea. Be careful you donвЂ™t buy a screwdriver to pound nails. There is some overlap, and the vendors will try to blur the lines. Tableau consumes data from ERP, CRM, Alteryx, Excel, data warehouses (Snowflake, Redshift, Vertica, Azure). Tableau is fantastic at data visualization, dashboards, online consumption, and distribution of information.ДЄlteryx fetches data (from anywhere), manipulates it, and feeds that data to Tableau, Power BI, Excel, data warehouses (Snowflake, Redshift, Vertica, Azure).Alteryx is fantastic at data access, clean-up, blending, manipulation, Excel process automation, and process documentation.For those of you with a short attention span, here is a summary: In the pages of analysis that follow, youвЂ™ll find many examples of what each of the tools do well, and where they lack functionality. WeвЂ™re asked about Alteryx and Tableau frequently, so weвЂ™ve written up our findings to help you understand the two solutions better. Once we dig into the organizationвЂ™s challenges and existing technologies, we can help pretty quickly. Clients ask us to help them choose between vendor solutions nearly every day.