Lima, 15457,
Peru
AJE Group Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by AJE Group and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 10000 AJE Group employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that AJE Group has purchased the following applications: Oracle Cloud ERP for ERP Financial in 2020, Oracle Cloud HCM for Core HR in 2020, Microsoft Azure Machine Learning for ML and Data Science Platforms in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems AJE Group is running and its propensity to invest more and deepen its relationship with Oracle , Microsoft , Rocket.chat 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 AJE Group revenues, which have grown to $1.30 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 AJE Group 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Cloud ERP | ERP Financial | ERP Financial Management | n/a | 2020 | 2021 |
|
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Cloud HCM | Core HR | HCM | n/a | 2020 | 2021 |
|
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2019 | 2019 |
In 2019 AJE Group implemented Microsoft Azure Machine Learning as a core component of its ML and Data Science Platforms strategy. The implementation was initiated under the Global Data & Analytics Coordinator remit and targeted analytics coverage across LATAM and ASIA, driven by an integrated DataLake architecture to consolidate Salesforce, SQL sources, and AWS Redshift data.
The deployment combined Microsoft Azure Machine Learning with a DataLake and a BI repository composed of a DataWarehouse and DataMarts for LATAM and ASIA. Microsoft Azure Machine Learning was used to develop predictive models and machine learning algorithms focused on churn prediction and customer segmentation, with model development conducted in Python using standard data science libraries and data preparation performed through SQL, SSIS, and SSAS processes.
Integrations implemented during the program included Salesforce for CRM data, AWS Redshift as an external data source, on premise SQL databases, and downstream visualization in Tableau and Salesforce Einstein Analytics Desktop and Mobile Exploration. Model scoring and segmentation results were operationalized through Python based integration workflows that loaded outputs into Salesforce to influence pricing and promotion actions at points of sale.
Governance work established a BI repository and DataLake model to standardize data ingestion, lineage, and reporting across the organization, aligning analytics workflows with commercial teams. The clustering model identified four customer segments and was applied to discount and bonus decisioning, with the model contributing to a 4% increase in sales versus the 2021 forecast as reported by the analytics team.
|
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Chatbots and Conversational AI | AI-Powered Application |
|
2020 | 2020 |
|
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Analytics and BI | Analytics and BI |
|
2019 | 2019 |
|
|
|
|
|
Data Warehouse | Analytics and BI |
|
2019 | 2019 |
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Audio Video and Web Conferencing | Collaboration |
|
2022 | 2022 |
|
|
|
|
|
Collaboration | Collaboration |
|
2012 | 2012 |
|
Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application, Web and Enterprise Search | Content Management |
|
2020 | 2020 |
|
eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
eCommerce | eCommerce |
|
2023 | 2023 |
|
SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Transportation Management | SCM |
|
2020 | 2021 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Experience | CRM |
|
2020 | 2021 |
|
|
|
|
|
Sales Automation, CRM, Sales Engagement | CRM |
|
2021 | 2021 |
|
EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
EPM | EPM |
|
2020 | 2021 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Data Migration | PaaS |
|
2019 | 2019 |
|
|
|
|
|
Extract, Transform, and Load (ETL) | PaaS |
|
2019 | 2019 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2015 | 2015 |
|
|
|
|
|
Cloud Storage | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2020 | 2020 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2020 | 2020 |
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||