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ThoughtSpot > Case Studies > Self-service with ThoughtSpot helps T-Mobile Netherlands sustain market leadership by boosting analyst productivity and cutting IT costs

Self-service with ThoughtSpot helps T-Mobile Netherlands sustain market leadership by boosting analyst productivity and cutting IT costs

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Customer Company Size
Large Corporate
Region
  • Europe
Country
  • Netherlands
Product
  • ThoughtSpot
  • Qlik
  • Tableau
  • Amazon Web Services (AWS)
Tech Stack
  • Cloud Computing
  • Self-Service Analytics
  • Data Integration
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Customer Satisfaction
  • Productivity Improvements
Technology Category
  • Platform as a Service (PaaS) - Data Management Platforms
  • Analytics & Modeling - Predictive Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
  • Telecommunications
Applicable Functions
  • Sales & Marketing
  • Business Operation
Services
  • Cloud Planning, Design & Implementation Services
  • System Integration
  • Data Science Services
About The Customer
T-Mobile Netherlands is the largest mobile network operator in the Netherlands, serving 6.9 million mobile customers. It is one of the fastest-growing telecom companies in Europe, driven by transformation efforts led by its former owner, Deutsche Telekom. T-Mobile Netherlands offers a range of services, including mobile, landline, interactive TV, and broadband, under the 'quad-play' model. The company is focused on maintaining its leadership position in the competitive telecom market, where customer retention is crucial for financial success. T-Mobile Netherlands is committed to providing its customer-facing teams with the insights needed to retain and delight loyal subscribers.
The Challenge
T-Mobile Netherlands faced challenges in maintaining its market leadership due to the constant battle for customer loyalty and the increasing complexity of customer data. The company had been using BI tools like Qlik and Tableau, but the recent growth and explosion of customer data made it difficult to keep up with the demand for insights. The existing solutions were taking too long to deliver essential customer data to frontline teams, leading to delays in problem-solving and dealmaking. The company needed a solution that would allow business users to access relevant data quickly and independently, without relying heavily on IT and data experts.
The Solution
To address the challenges, T-Mobile Netherlands implemented a three-step plan to democratize data access. The plan involved moving as much data as possible to the cloud, making the most relevant data available on demand, and providing open access to data through ThoughtSpot. T-Mobile chose ThoughtSpot for its self-service capabilities, allowing users to access data insights quickly and easily, similar to a Google search. The implementation was supported by consulting partner Wipro Technologies and cloud hosting supplier Amazon Web Services (AWS). The transition to ThoughtSpot enabled T-Mobile to replace its old BI dashboards and empower employees to analyze data independently, leading to faster decision-making and improved customer support.
Operational Impact
  • T-Mobile Netherlands' data analysts gained 40 more days of labor per month by reducing custom BI requests, allowing them to focus on complex cases.
  • The move to self-service analytics with ThoughtSpot resulted in significant savings, estimated at roughly €1 million annually, by reducing the time spent on routine frontline queries.
  • The transition to ThoughtSpot accelerated the M&A due diligence process, enabling T-Mobile to provide critical data answers in less than 15 minutes, enhancing the company's reputation during negotiations.
  • The implementation of ThoughtSpot empowered marketing and data analysts to quickly build and analyze complex data sets, improving their ability to respond to market changes and customer needs.
Quantitative Benefit
  • Estimated savings of €1 million annually in data analyst and outsourced IT time.
  • Data analysts gained 40 more days of labor per month by reducing custom BI requests.
  • Critical data questions answered in less than 15 minutes during M&A due diligence.

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