{"id":3860,"date":"2024-07-31T10:52:42","date_gmt":"2024-07-31T10:52:42","guid":{"rendered":"https:\/\/beta74.thewebsitepreview.com\/wavicle\/dev\/?p=3860"},"modified":"2025-11-11T12:15:01","modified_gmt":"2025-11-11T12:15:01","slug":"rail-technology-services-provider-upgrades-analytics-using-wavicles-ezconvertbi","status":"publish","type":"post","link":"https:\/\/beta74.thewebsitepreview.com\/wavicle\/dev\/case-studies\/rail-technology-services-provider-upgrades-analytics-using-wavicles-ezconvertbi\/","title":{"rendered":"Rail Technology Services Provider Upgrades Analytics Using Wavicle\u2019s EZConvertBI"},"content":{"rendered":"

This leading rail technology services provider needed to migrate its dashboards from Tableau to Amazon QuickSight within three months to cut server hosting costs and access the benefits of a scalable, cloud-native BI platform.\u00a0<\/span>\u00a0<\/span><\/p>\n

To achieve this, the rail technology services provider partnered with Wavicle to leverage its proprietary\u00a0<\/span>EZConvert<\/span>BI<\/span><\/a>\u00a0tool to streamline migration from Tableau to QuickSight and successfully deploy the new BI solution. EZConvert<\/span>BI<\/span>\u00a0accurately identified in-scope dashboards and eliminated redundancies, delivering a seamless system transition and maintaining the company\u2019s business intelligence capabilities. Using an automated migration tool also reduced manual efforts, including custom SQL tasks, ensuring alignment with tight budget constraints and the company\u2019s rapid timeline.<\/span><\/p>\n

Amazon QuickSight migration with a 90-day deadline<\/span>\u00a0<\/span><\/h2>\n

In a strategic move to improve its analytics infrastructure and reduce BI costs, the rail technology services provider wanted to transition from Tableau to Amazon QuickSight. With their Tableau license expiring in three months, they needed to evaluate and migrate 690 dashboards to Amazon QuickSight within that timeframe while sticking to a tight budget.<\/span>\u00a0<\/span><\/p>\n

A migration to QuickSight offered a variety of benefits beyond cost savings. The rail technology services provider wanted to be on a 100% cloud-native BI platform that would be more scalable. Historically, they struggled with Tableau performance issues and the burdens of managing the necessary server infrastructure to run Tableau. Transitioning to a serverless solution like QuickSight promised higher performance with similar functionality.<\/span>\u00a0<\/span><\/p>\n

To execute the migration,\u00a0<\/span>AWS<\/span><\/a>\u00a0recommended Wavicle to the rail technology services provider, recognizing Wavicle\u2019s expertise in QuickSight migrations. Wavicle proposed its state-of-the-art EZConvert<\/span>BI<\/span>\u00a0tool, which identifies relevant dashboards, eliminates redundancies, and preserves functionality while providing a seamless, expedited migration.<\/span><\/p>\n

EZConvert<\/span>BI<\/span>\u00a0 enables an effortless migration from Tableau to Amazon QuickSight<\/span><\/h2>\n

EZConvert<\/span>BI<\/span>\u00a0was designed to make transitions between BI platforms efficient and secure. The tool ensures a smooth and speedy transfer of all selected data visualizations, dashboards, and reports between platforms.<\/span>\u00a0<\/span><\/p>\n

Wavicle\u2019s experts utilized the EZConvert<\/span>BI<\/span>\u00a0tool to first analyze the rail technology services provider\u2019s 690 Tableau dashboards to determine the duplication score for each dashboard. This score was derived from criteria such as the published date, activity timestamps, complexity, number of charts, and datasets.\u00a0<\/span>\u00a0<\/span><\/p>\n

This produced an analyzer report and a Tableau usage report that were meticulously reviewed by Wavicle and the rail technology services provider to eliminate redundant and unused dashboards, reducing the scope for migration to 138 unique business dashboards. As a result, cost estimates were cut by 70% and the project timeline was shortened by 60%.<\/span>\u00a0<\/span><\/p>\n

Next, the tool automated the conversion of data sources, including custom SQL and Tableau Hyper Extracts, while supporting charts and calculations. This cut down on migration time and developer effort, reducing the risk of manual errors and improving user confidence in the data\u2019s accuracy.<\/span>\u00a0<\/span><\/p>\n

For unsupported Tableau chart types, Wavicle developed alternative solutions that were rigorously tested and approved by business users. This ensured consistent functionality and a seamless transition to the new platform, maintaining the integrity and usability of all dashboards.\u00a0<\/span>\u00a0<\/span><\/p>\n

Additionally, Wavicle performed a three-stage dashboard validation process involving 15 test use cases such as accounts payable, train delays, and quality score KPIs to ensure that the migrated dashboards accurately reflected the data, functionality, and formatting of the original Tableau dashboards.\u00a0<\/span>\u00a0<\/span><\/p>\n

By performing these validations, Wavicle maintained the integrity and reliability of the reports, ensuring that users could confidently rely on the data for decision-making and operational purposes. This also helped identify and rectify any discrepancies that arose during the migration process, ensuring a smooth transition and accurate representation of information in the new Amazon QuickSight environment.<\/span><\/p>\n

A streamlined migration projected to save significant costs\u00a0<\/span>\u00a0<\/span><\/h2>\n

Using Wavicle\u2019s EZConvert<\/span>BI<\/span>\u00a0tool to migrate from Tableau to Amazon QuickSight, the rail technology services provider successfully migrated 138 dashboards within the planned timeline and approved budget. This efficient and streamlined migration process resulted in several significant benefits. The company is projected to achieve substantial savings on licensing fees, server hosting, and maintenance costs by moving to a serverless, cloud-native BI platform.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

The automated conversion process minimized the possibility of manual errors, ensuring high data accuracy and boosting user confidence in the new reporting system. By automating the conversion of data sources, charts, and calculations, the migration significantly reduced the time and effort required from developers, allowing the team to focus on more strategic tasks. The migration also helped eliminate redundancies and optimize reports, providing a cleaner, more efficient reporting environment.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

Overall, the collaboration with Wavicle not only met the immediate migration goals but also set the stage for long-term operational and financial benefits. The rail technology services provider is now well positioned for future growth, with a scalable and efficient BI platform that aligns with their strategic objectives and enhances their reporting capabilities.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Migrated 550+ Tableau dashboards to QuickSight using EZConvertBI, achieving 80% automation, 60% time savings, and seamless collaboration under tight timelines and data constraints.<\/p>\n","protected":false},"author":2,"featured_media":4682,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[147,88,83,54,85,99,95],"tags":[],"class_list":["post-3860","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-amazon-quicksight","category-bi-reporting-visualizations","category-business-intelligence-insights","category-case-studies","category-reporting-modernization","category-tableau","category-technology","entry"],"acf":[],"yoast_head":"\nRail Services Boost Analytics with EZConvertBI Upgrade<\/title>\n<meta name=\"description\" content=\"Learn how a rail technology provider enhanced analytics and reporting efficiency 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