Sao Paulo, 04779-900,
Brazil
Agro Bayer Brasil Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Agro Bayer Brasil and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 500 Agro Bayer Brasil employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Agro Bayer Brasil has purchased the following applications: Amazon EC2 for Application Hosting and Computing Services in 2024, SAP Customer Data Cloud (ex Gigya) for Customer Data Platform in 2020, Adobe Experience Manager for Digital Asset Management in 2023 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Agro Bayer Brasil is running and its propensity to invest more and deepen its relationship with Amazon Web Services (AWS) , SAP , Contentsquare 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 Agro Bayer Brasil revenues, which have grown to $100.0 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 Agro Bayer Brasil 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.
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 | 2024 | 2024 | ||
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Content Delivery Network | IaaS |
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2024 | 2024 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Customer Data Cloud (ex Gigya) | Customer Data Platform | CRM | n/a | 2020 | 2020 | ||
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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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2024 | 2024 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Marketing Automation | CRM |
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2023 | 2023 |
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Tag Management | CRM |
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2023 | 2023 |
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Tag Management | CRM |
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2023 | 2023 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Adobe Systems | Legacy | Adobe Experience Manager | Digital Asset Management | Content Management | Valtech | 2023 | 2023 | In 2023 Agro Bayer Brasil implemented Adobe Experience Manager as its Digital Asset Management platform to centralize digital content for Brazil-facing marketing and digital channels, with Valtech engaged as the implementation partner. The deployment was focused on delivering a component-driven authoring environment using Adobe Experience Manager to manage assets, templates, and reusable content fragments in support of campaign and product content workflows. Adobe Experience Manager was configured to support component libraries and headless delivery patterns, with frontend components built from Figma and promoted to production via standard sprint cycles. Development practices included component-level unit tests, code reviews, and iterative delivery, reflecting a modular authoring approach and reuse of AEM-managed assets across channels. Integrations were implemented to connect Adobe Experience Manager with a NextJS frontend, using API consumption to surface AEM-managed content into the NextJS rendering layer. The technical implementation emphasized API-driven content delivery and component integration, with demonstration meetings and cross-team review sessions used to validate integration points between AEM and NextJS. Governance and operational control were exercised through Valtech technical leadership and embedded engineering practices, including delineation of technical requirements, code review governance, and continuous learning within the delivery team. Rollout and feature delivery followed agile sprint cycles, with technical oversight provided by a Valtech Technical Lead who supported developer onboarding and ensured alignment between AEM configuration and frontend integration requirements. |
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