Gruppo TIM Technographics
Gruppo TIM Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Gruppo TIM and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 26887 Gruppo TIM employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Gruppo TIM has purchased the following applications: SAP ERP ECC 6.0 for ERP Financial in 2000, SAP S/4 HANA Credit Management (FIN-FSCM-CR) for Credit Union Management in 2020, SAS Visual Analytics for Analytics and BI in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Gruppo TIM is running and its propensity to invest more and deepen its relationship with SAP , Apple , NEC Corporation or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Gruppo TIM revenues, which have grown to $16.92 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Gruppo TIM intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Gruppo TIM Tech Stack and Enterprise Applications
Gruppo TIM ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP ERP ECC 6.0 | ERP Financial | ERP | n/a | 2000 | 2000 |
In 2000, Gruppo TIM implemented SAP ERP ECC 6.0 as part of an ERP Financial deployment. The implementation concentrated on Sales and Distribution SD and Materials Management MM functional areas to support order to cash and inventory procurement workflows within the ERP Financial landscape. Developmental work was executed against SD and MM to align transactional processing and reporting with SAP ERP ECC 6.0.
Development activities included corrective maintenance and evolution of existing Batch Input reporting, the Bapi release of SAP ECC 6.0, file upload and download mechanisms, Batch Input session design, Module Pool development, and implementation of BAdI extensions. The Bapi release of SAP ECC 6.0 established standardized function modules for integration and remote calls, Module Pool development delivered custom dialog programs for user interaction, and Batch Input was used for automated data loads and reporting cycles. BAdI implementations provided extensibility points to embed business rule variation in SD and MM processes, indicating a focus on application stabilization, extensibility, and automated data handling within the SAP ERP ECC 6.0 ERP Financial environment.
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ERP Financial | ERP |
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2020 | 2020 |
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Expense Management | ERP |
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2004 | 2004 |
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Expense Management | ERP |
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2019 | 2019 |
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Payment Processing | ERP |
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2018 | 2018 |
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Gruppo TIM ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP S/4 HANA Credit Management (FIN-FSCM-CR) | Credit Union Management | ERP Services and Operations | n/a | 2020 | 2020 |
In 2020, Telecom Italia implemented SAP S/4 HANA Credit Management (FIN-FSCM-CR) to centralize credit decisioning for its finance and credit control functions. The SAP S/4 HANA Credit Management (FIN-FSCM-CR) deployment aligned with Credit Union Management practices, running on the SAP S/4HANA platform and addressing credit lifecycle orchestration across order to cash and billing touchpoints.
Configuration work focused on FIN FSCM CR capabilities typical of credit management implementations, including exposure calculation and monitoring, credit scoring rule sets, credit limit allocation and blocking logic, automated credit checks at transaction entry, and workflow based approval routing. The implementation emphasized configuration driven rule governance, scoring and limit maintenance, and the embedding of credit checks into customer master and receivables processes.
Operational coverage included Telecom Italia finance, credit control, and risk teams, with governance changes to standardize credit policy configuration and approval workflows. Project governance concentrated on handover to centralized finance operations and on documentation using SAP S/4 HANA Credit Management (FIN-FSCM-CR) terminology such as exposure management, credit limit allocation, and credit scoring for operational use.
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OSS/BSS | ERP Services and Operations |
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2013 | 2014 |
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Travel Management | ERP Services and Operations |
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2019 | 2019 |
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Gruppo TIM Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAS Institute | Legacy | SAS Visual Analytics | Analytics and BI | Analytics and BI | n/a | 2024 | 2024 |
In 2024 Telecom Italia implemented SAS Visual Analytics as part of a broader SAS Viya deployment to strengthen its Analytics and BI capability within the credit area. The implementation bundle explicitly includes SAS Visual Analytics, SAS Visual Statistics and SAS Viya 4, and targets credit operations to enable real-time decision making in a regulated telecommunications environment.
The project centralized credit ownership and reorganized processes across Marketing, Sales, IT and Procurement, with the Credit Risk Office and Project Management Office as primary stakeholders. The scope covered the end to end credit funnel, acceptance scoring in the onboarding phase and ongoing credit management activities, aligning sales processes with credit governance to simplify customer journey touchpoints.
Technical configuration centered on a single structured data mart accessible through SAS Visual Analytics, delivering interactive dashboards with drill down and exportable graphical and tabular outputs. Functional modules implemented include the new SAS-based funnel, KPI alerting for industry and internal metrics, and the development of predictive models using SAS Visual Statistics, with the predictive model workstream noted as in progress.
Architecturally the solution moved from a distributed, fragmented repository approach to a centralized database model feeding SAS Viya 4, and explicitly incorporated external information sources to enrich credit scoring and monitoring. The platform supports advanced analyses and customized reports, enabling operational users and analysts to run trend and monthly performance analyses with improved data quality and execution times, and SAS delivered product training to enable autonomous use.
Project governance followed an agile style collaboration model, with business users, IT and SAS coauthoring requirements and participating in weekly status meetings. The initiative kicked off in January 2024 and achieved its first milestone six months later, with the first two releases focused on building the funnel and KPI alerts while predictive modeling remained underway. Reported outcomes include optimized analysis execution times, improved quality of results and flexible data exports to support anomaly detection and monthly performance review.
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Analytics and BI | Analytics and BI |
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2024 | 2024 |
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Analytics and BI | Analytics and BI |
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2024 | 2024 |
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Process Mining | Analytics and BI |
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2012 | 2012 |
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Gruppo TIM Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2020 | 2020 |
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Gruppo TIM Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Asset Management | Content Management |
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2020 | 2020 |
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Gruppo TIM eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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eCommerce | eCommerce |
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2015 | 2015 |
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Gruppo TIM CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Engagement | CRM |
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2019 | 2019 |
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Customer Experience | CRM |
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2020 | 2020 |
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Customer Experience | CRM |
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2021 | 2021 |
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Data Management Platform | CRM |
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2020 | 2020 |
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Digital Advertising Platform | CRM |
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2015 | 2015 |
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Digital Advertising Platform | CRM |
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2018 | 2018 |
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Digital Advertising Platform | CRM |
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2015 | 2015 |
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Digital Advertising Platform | CRM |
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2018 | 2018 |
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Digital Advertising Platform | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2019 | 2019 |
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Partner Relationship Management | CRM |
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2021 | 2021 |
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Tag Management | CRM |
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2020 | 2020 |
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Gruppo TIM ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2019 | 2019 |
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Gruppo TIM PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Apps Development | PaaS |
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2022 | 2022 |
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Extract, Transform, and Load (ETL), Data Replication | PaaS |
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2015 | 2015 |
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Gruppo TIM IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2003 | 2003 |
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Content Delivery Network | IaaS |
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2015 | 2015 |
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Database Management | IaaS |
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2025 | 2025 |
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Servers, Storage and Networking | IaaS |
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2020 | 2020 |
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Gruppo TIM CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Web Gateways (SWG) | CyberSecurity |
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2018 | 2018 |
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IT Decision Makers and Key Stakeholders at Gruppo TIM
Apps Being Evaluated by Gruppo TIM Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||