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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Procter & Gamble Germany Data, Technology Stack, and Enterprise Applications
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
JMP Statistical Discovery Legacy JMP Analytics Analytics and BI Analytics and BI n/a 2013 2013 In 2013 Procter & Gamble Germany deployed JMP Analytics within its Quantitative Sciences team to support experiment design and statistical analysis, positioning JMP Analytics in the Analytics and BI category as the core tool for DOE and product analytics. The deployment targeted R&D workflows in Germany and was led by the Quantitative Sciences organization to embed structured experiment design practices into product development and process optimization. The implementation emphasized design of experiments capabilities, product and process analytics, and interactive visualization, with configuration focused on experiment setup, statistical modeling and visual data exploration. JMP Analytics was used to create repeatable experiment workflows and interactive charts that enabled engineers and scientists to explore factor effects, optimize responses and iterate on experimental designs without extensive scripting. Operationally the solution was integrated into R&D experiment pipelines and analytic workflows, supporting cross functional collaboration between product development and process engineering teams in Germany. Usage centered on lab and development projects where experiment outputs and visual analytics informed formulation, process parameter choices and quality assessments. Governance changes reinforced wider DOE adoption and an analytics culture, with the Quantitative Sciences team driving standards for experiment design and visualization practices. The adoption of JMP Analytics produced explicit outcomes for the organization, improving product quality and reducing time and cost in R&D while accelerating data driven product and process decisions.
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Postman Legacy Postman API Platform API Management PaaS n/a 2023 2023
Apps Development PaaS 2021 2021
Apps Development PaaS 2025 2025
Transactional Email PaaS 2018 2018
Transactional Email PaaS 2018 2018
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Microsoft Legacy Microsoft Azure Cloud Services Application Hosting and Computing Services IaaS n/a 2019 2019
Application Hosting and Computing Services IaaS 2023 2023
Application Hosting and Computing Services IaaS 2023 2023
Content Delivery Network IaaS 2023 2023
Content Delivery Network IaaS 2023 2023
Content Delivery Network IaaS 2025 2025
Content Delivery Network IaaS 2025 2025
Domain Name System (DNS) IaaS 2016 2016
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Application Performance Management ITSM 2020 2020
Incident Management ITSM 2021 2021
IT Service Management ITSM 2018 2018
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Application, Web and Enterprise Search Content Management 2023 2023
Digital Asset Management Content Management 2025 2025
Digital Asset Management Content Management 2004 2005
Digital Signing Content Management 2021 2021
Web Content Management Content Management 2020 2020
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Audio Video and Web Conferencing Collaboration 2020 2020
Audio Video and Web Conferencing Collaboration 2021 2021
Collaboration Collaboration 2016 2016
Collaboration Collaboration 2016 2016
Collaboration Collaboration 2017 2017
Collaboration Collaboration 2022 2022
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Customer Data Platform CRM 2020 2020
Customer Data Platform CRM 2025 2025
Customer Support CRM 2016 2016
Digital Advertising Platform CRM 2023 2023
Marketing Analytics CRM 2020 2020
Marketing Analytics CRM 2021 2021
Marketing Analytics CRM 2023 2023
Marketing Automation CRM 2016 2016
Sales Automation, CRM, Sales Engagement CRM 2021 2021
Tag Management CRM 2018 2018
Tag Management CRM 2023 2023
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Governance, Risk and Compliance TRM 2021 2021
Governance, Risk and Compliance TRM 2023 2023
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Identity and Access Management (IAM) CyberSecurity 2023 2023
Secure Email Gateways (SEGs) CyberSecurity 2020 2020
Secure Email Gateways (SEGs) CyberSecurity 2020 2020
Secure Sockets Layer (SSL) CyberSecurity 2018 2018
Secure Sockets Layer (SSL) CyberSecurity 2018 2018
Secure Sockets Layer (SSL) CyberSecurity 2021 2021
Secure Sockets Layer (SSL) CyberSecurity 2021 2021
Secure Sockets Layer (SSL) CyberSecurity 2025 2025
Secure Web Gateways (SWG) CyberSecurity 2016 2016
Secure Web Gateways (SWG) CyberSecurity 2023 2023
eCommerce
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Product Information Management eCommerce 2014 2014
PPM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Project Portfolio Management PPM 2024 2024
IT Decision Makers and Key Stakeholders at Procter & Gamble Germany
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by Procter & Gamble Germany Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Procter & Gamble Germany Technographics

Procter & Gamble Germany is a Consumer Packaged Goods organization based in Germany, with around 2500 employees and annual revenues of $2.50 billion.

Procter & Gamble Germany operates a diverse technology stack with applications such as JMP Analytics, Postman API Platform and Microsoft Azure Cloud Services, covering areas like Analytics and BI, API Management and Application Hosting and Computing Services.

Procter & Gamble Germany has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as JMP Statistical Discovery, Postman and Microsoft.

Procter & Gamble Germany recently adopted applications including Airtable in 2025, Microsoft Azure CDN in 2025 and Microsoft Azure Front Door in 2025, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Procter & Gamble Germany’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Procter & Gamble Germany’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 Procter & Gamble Germany technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.