Tableau and Meraki Location Analytics cater to different analytic needs with overlapping features. Tableau appears to have the upper hand in data visualization and comprehensive analytics, while Meraki is more focused on real-time location insights.
Features: Tableau provides robust analytics capabilities, allowing for in-depth data interpretation and customized dashboards. It excels in data visualization and insight depth. Meraki Location Analytics offers valuable real-time location tracking and spatial data analytics, making it useful for understanding physical interactions.
Ease of Deployment and Customer Service: Tableau offers a streamlined deployment process with flexible integration, but it does have a learning curve. Meraki's cloud-based model allows for straightforward setup and rapid implementation. While Tableau's support is comprehensive, Meraki's support is noted for responsiveness and accessibility, appealing to those prioritizing ease of deployment and customer service.
Pricing and ROI: Tableau's initial setup cost is higher, with a significant ROI expected over time. Meraki generally offers more economical upfront pricing, quickly delivering location insights. Tableau is seen as a larger investment, but Meraki's affordability and immediate value is compelling, especially for businesses focusing on location-based insights.
Cisco Meraki's location analytics and engagement solution displays real-time location statistics to improve customer engagement and loyalty across sites. Data collected by intelligent Meraki APs is synced with the Meraki cloud, automatically reported in the dashboard, and exported to third-party applications via the Cisco Meraki Location Analytics API.
Tableau is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights.
Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.
Tableau has many valuable key features:
Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:
Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.
Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.”
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