AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Titania Compania Editorial Data, Technology Stack, and Enterprise Applications
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Deep.BI Legacy Deep.BI Analytics and BI, Data Warehouse Analytics and BI n/a 2020 2020 In 2020 Titania Compania Editorial implemented Deep.BI on its public website, deploying analytics functionality consistent with the Analytics and BI,Data Warehouse category. Titania Compania Editorial used Deep.BI to centralize audience and content analytics for its Spanish news site. Deep.BI was configured to capture event level web signals from article pages, to populate a consolidated reporting layer, and to provide dashboarding and scheduled reports for editorial and commercial teams. The implementation included data modeling and audience segmentation capabilities typical of Analytics and BI,Data Warehouse deployments, oriented to content performance and ad inventory analytics. Integrations focused on website instrumentation and operational handoff into publishing workflows, with data flows ingested into Deep.BI to support editorial, audience development, advertising sales, and subscription functions across Spain. Dashboards and reports were surfaced through embedded views and scheduled distribution to stakeholders. Governance was handled by a small central analytics team that enforced tagging standards, data quality checks, and role based access to Deep.BI reports, rollout proceeded iteratively across site sections to stabilize instrumentation. Deep.BI serves as the primary analytics and reporting layer for Titania Compania Editorial, aligning the application with editorial decision making and commercial operations.
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Amazon Web Services (AWS) Legacy Amazon EC2 Application Hosting and Computing Services IaaS n/a 2015 2015
Application Hosting and Computing Services IaaS 2020 2020
Application Hosting and Computing Services IaaS 2020 2020
Application Hosting and Computing Services IaaS 2022 2022
Content Delivery Network IaaS 2020 2020
Content Delivery Network IaaS 2020 2020
Content Delivery Network IaaS 2020 2020
Content Delivery Network IaaS 2021 2021
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
GumGum Legacy GumGum Artificial Intelligence Marketing AI-Powered Application n/a 2019 2019
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Collaboration Collaboration 2012 2012
Collaboration Collaboration 2022 2022
Collaboration Collaboration 2022 2022
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Digital Advertising Platform CRM 2018 2018
Digital Advertising Platform CRM 2011 2011
Digital Advertising Platform CRM 2017 2017
Digital Advertising Platform CRM 2018 2018
Marketing Analytics CRM 2015 2015
Marketing Analytics CRM 2018 2018
Tag Management CRM 2015 2015
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Payment Processing ERP Financial Management 2022 2022
Payment Processing ERP Financial Management 2022 2022
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Transactional Email PaaS 2019 2019
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Web Application Firewalls (WAF) CyberSecurity 2022 2022
IT Decision Makers and Key Stakeholders at Titania Compania Editorial
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by Titania Compania Editorial Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD Titania Compania Editorial Technographics

Titania Compania Editorial is a Media organization based in Spain, with around 40 employees and annual revenues of $4.0 million.

Titania Compania Editorial operates a diverse technology stack with applications such as Deep.BI, Amazon EC2 and GumGum, covering areas like Analytics and BI, Data Warehouse, Application Hosting and Computing Services and Artificial Intelligence Marketing.

Titania Compania Editorial has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Deep.BI, Amazon Web Services (AWS) and GumGum.

Titania Compania Editorial recently adopted applications including Scaleway in 2022, Microsoft 365 in 2022 and Slack Connect in 2022, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Titania Compania Editorial’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Titania Compania Editorial’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete Titania Compania Editorial technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.