Seongnam, 135950,
South Korea
3Alogics Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by 3Alogics and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 150 3Alogics employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that 3Alogics has purchased the following applications: AI Log for Marketing Analytics in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems 3Alogics is running and its propensity to invest more and deepen its relationship with Charm Soft , Google 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 3Alogics revenues, which have grown to $18.0 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 3Alogics 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.
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Charm Soft | Legacy | AI Log | Marketing Analytics | CRM | n/a | 2018 | 2018 |
In 2018, 3Alogics implemented AI Log on its website, establishing a web-facing logging and analysis capability. AI Log is referenced in this record as the Apps Category "" and was deployed to capture front-end and server-side events across the company web property.
The deployment of AI Log focused on centralized log collection and AI-assisted log analysis, with configurations to ingest HTTP request traces, application errors, and user interaction events. Implementation work included event schema standardization, parsing rules, and rule-based plus machine learning driven anomaly detection to surface unusual traffic patterns and application faults.
Integrations were limited to the corporate website and the web application delivery stack, instrumenting client-side scripts and server logging endpoints to stream events into AI Log. Operational ownership was aligned to IT operations and engineering, with rollout controls including phased activation on production pages and configuration governance for log retention and alerting thresholds.
|
|
|
|
|
Tag Management | CRM |
|
2019 | 2019 |
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||