London, SW1V 2SA,
United Kingdom
Penguin Random House UK Technographics
Penguin Random House UK Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Penguin Random House UK and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 437 Penguin Random House UK employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Penguin Random House UK has purchased the following applications: SAP S/4 HANA for ERP Financial in 2019, SAP BusinessObjects for Analytics and BI in 2016, Adobe Experience Manager for Digital Asset Management in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Penguin Random House UK is running and its propensity to invest more and deepen its relationship with SAP , Adobe Systems , Shopify 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 Penguin Random House UK revenues, which have grown to $303.0 million 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 Penguin Random House UK 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.
Penguin Random House UK Tech Stack and Enterprise Applications
Penguin Random House UK ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP S/4 HANA | ERP Financial | ERP | n/a | 2019 | 2020 |
In 2019 Penguin Random House UK implemented SAP S/4 HANA as its ERP Financial solution. The engagement included a focused specialist assignment from April 2019 to June 2019 where an SAP BusinessObjects Consultant and S/4 HANA Developer supported the program, concentrating on finance function configuration and reporting for the UK entity.
The implementation positioned SAP S/4 HANA as the transactional financial core with SAP BusinessObjects providing enterprise reporting and analytics. Workstreams documented in the engagement centered on financial modules such as general ledger, accounts payable, accounts receivable, asset accounting and period end close workflows, with specific emphasis on data model alignment and BusinessObjects report development. Operational coverage targeted the finance organization and statutory reporting processes across Penguin Random House UK, and governance activities focused on financial process mapping, configuration validation and report reconciliation during the three month implementation window.
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Penguin Random House UK Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP BusinessObjects | Analytics and BI | Analytics and BI | n/a | 2016 | 2016 |
In 2016, Penguin Random House UK implemented SAP BusinessObjects in the Analytics and BI category to consolidate three standalone data warehouses into a strategic enterprise data warehouse. The initiative established SAP BusinessObjects as the reporting front end for a Netezza-based EDW, with SSIS used to orchestrate ETL pipelines into the consolidated store and to centralize reporting consumption across the company.
The implementation configured SAP BusinessObjects for standard reporting use cases, including scheduled enterprise reports, interactive dashboards and ad hoc query access via the SAP BusinessObjects semantic layer. The EDW architecture placed Netezza as the analytical engine, with SSIS packages handling data ingestion, transformation and load sequencing, and SAP BusinessObjects universes and report services providing the presentation and distribution layer.
Integrations focused on source-to-target ETL flows implemented through SSIS into the Netezza EDW, and SAP BusinessObjects was used to surface curated datasets to business users. Operational coverage centered on company-wide BI consumption and centralized data modeling within the EDW, enabling a single point of truth for reporting and analytics.
Governance workstreams supported the rollout by formalizing the concept of one version of the truth, implementing metadata management and report publication controls within SAP BusinessObjects. The explicit outcome documented was the establishment of a strategic EDW and a unified reporting front end using SAP BusinessObjects to enforce consistent enterprise reporting.
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Data Warehouse | Analytics and BI |
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2016 | 2016 |
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Penguin Random House UK Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Adobe Systems | Legacy | Adobe Experience Manager | Digital Asset Management | Content Management | n/a | 2016 | 2016 |
In 2016, Penguin Random House UK implemented Adobe Experience Manager to support Digital Asset Management on its public website. The Adobe Experience Manager deployment is used to centralize web-facing media, including imagery, cover art and editorial assets, and to provide a single repository that feeds the site authoring environment and public pages.
The Adobe Experience Manager implementation emphasizes category-aligned capabilities such as a centralized asset library, metadata taxonomy and tagging, rendition generation and versioning, and publishing workflows tied to the CMS authoring process. Operational coverage centers on web content teams, including marketing and editorial functions, with governance enforced through metadata standards, role-based authoring and approval workflows to manage asset lifecycle and publishing to the Penguin Random House UK website.
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Web Content Management | Content Management |
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2019 | 2019 |
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Penguin Random House UK eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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eCommerce | eCommerce |
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2018 | 2018 |
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Penguin Random House UK CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2015 | 2015 |
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Customer Experience | CRM |
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2020 | 2020 |
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Data Management Platform | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Partner Relationship Management | CRM |
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2020 | 2020 |
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Tag Management | CRM |
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2020 | 2020 |
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Penguin Random House UK ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2019 | 2019 |
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Penguin Random House UK 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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2016 | 2016 |
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Penguin Random House UK CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Data Loss Prevention | CyberSecurity |
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2022 | 2022 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2017 | 2017 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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Secure Web Gateways (SWG) | CyberSecurity |
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2014 | 2014 |
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IT Decision Makers and Key Stakeholders at Penguin Random House UK
Apps Being Evaluated by Penguin Random House UK Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||