![]() ![]() That helps in creating visual data dashboards to represent data in user understandable way. ![]() However, when it comes to the ideal data visualizing languages, sometimes, it is difficult for the analysts. Visualization explains complex data in graphics, images, and even in the form of figures to help them change how they understand information to create value, discover new patterns, spot trends, and give simple examples to represent the analysis and integration. Data visualization will do that where it helps us tell the whole story and helps us get the bigger picture of the data and what we’re looking for to interpret. Analyzing data helps you create a clear picture of the businesses and do things intelligently with the data. It is the process of transforming information into a visual context to make it easily understandable by the human brain. LoyaltyFactor- Customer Loyalty Managementĭata visualization is a vital part of data analytics.Interactive and Visualization Menu Toggle.Not for everyone, but perfect fit for some orgs. My company makes a product called FlexIt Analytics that's geared towards medium-sized organizations that want to stay close to their SQL and spreadsheets, but still get solid viz/dashboarding and enterprise BI (metadata, apis, security, etc.) features. How savvy are your users, admins, etc.? What features do you need? And so on. Looker is well loved, but read about it to see if it's a good fit for your org.Īll of the above doesn't matter at all if it's not a fit for your organization. Tableau started the viz game, Power BI carried the legacy on. Power BI is easier to use and much cheaper. Not sure how you came up with your survey list, but my take on Power BI vs Tableau: Tableau has a great community that does incredible things with the tool, but the learning curve for real "self service" is rather high. Alas, the analysis is very good if you actually read it. Keep in mind that Microsoft paid A LOT of money to be able to give this to you, and that much of the Gartner analysis is based on "the overall effectiveness of the sales channel." They're words, not mine. Agreed, check out the Magic Quadrant, but pop "Gartner Magic Quadrant 2021" into Bing ) and download the full document from a vendor, here it is from Microsoft. ![]()
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