TAP Air Portugal Discovers Trusted Insights with MicroStrategy
Company Size
1,000+
Region
- Europe
Country
- Portugal
Product
- MicroStrategy Web
- MicroStrategy Mobile
- MicroStrategy Visual Insight
Tech Stack
- Big Data
- IoT
- Machine Learning
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Industries
- Aerospace
- Transportation
Applicable Functions
- Business Operation
- Quality Assurance
Services
- Software Design & Engineering Services
- System Integration
About The Customer
TAP Air Portugal is Portugal’s leading airline, headquartered in Lisbon. Founded in 1945, TAP carries millions of passengers to more than 80 global destinations. TAP is committed to the future by connecting people, economies, and communities. As a major player in the aviation industry, TAP faces the challenge of managing vast amounts of data generated from its operations, customer interactions, and various business processes. The airline's commitment to innovation and efficiency drives its need for advanced data analytics and business intelligence solutions to maintain its competitive edge and ensure high-quality service delivery.
The Challenge
Technological advancement, growing data production, and new consumer demands create challenges for organizations—and when these companies are as complex and established as TAP, the challenges get more complicated. TAP needed to ensure high data quality, agile business processes, and user autonomy, as well as utilize technological trends like big data, IoT, and machine learning. An analysis of the company’s BI infrastructure and business processes identified the need for a unified strategy capable of responding to the analytical needs of various departments. Silos from individual teams restricted data governance and created isolated reports that were not useful company wide. Previous BI initiatives were enacted “without total commitment of all business areas and [were] very focused on each business information silo,” said Rui Monteiro, BICC Manager at TAP.
The Solution
A new analytics strategy was developed in 2017. TAP chose MicroStrategy for its speed and efficiency in finding the right solution, ability to centralize information, and easy distribution of reports across the company. The team incorporated Web, Visual Insight, and Mobile into its digital transformation. This analytics modernization included “creating a unique image for the company with…report templates and the customization of graphic[s] that [give our work] identity,” said Monteiro. The MicroStrategy solution allowed each business area to have customized workflows and equipped all types of users with the necessary tools to succeed in their roles—without technical knowledge requirements. Central governance improved security, standardization, and systems management. TAP also took advantage of the MicroStrategy capabilities they already had in place, which reduced implementation time and cost.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
