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Agilab Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Agilab and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 10 Agilab employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Agilab has purchased the following applications: Oracle Analytics Cloud for Analytics and BI in 2019, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2017, Microsoft 365 for Collaboration in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Agilab is running and its propensity to invest more and deepen its relationship with Oracle , Microsoft , 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 Agilab revenues, which have grown to $1.0 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 Agilab 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.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Analytics Cloud | Analytics and BI | Analytics and BI | n/a | 2019 | 2019 | Agilab deployed Oracle Analytics Cloud in 2019 to provide a cloud-based analytics foundation for its professional services practice. The Oracle Analytics Cloud implementation, grouped under Analytics and BI, is used to deliver customer-facing solutions that streamline costs and improve collaboration between departments, while enabling expansion of offerings into IoT use cases. The implementation focused on core Analytics and BI capabilities, including interactive dashboards, data visualization, self-service data preparation, semantic modeling, and embedded analytics for client engagements. Oracle Analytics Cloud was configured to support predictive and descriptive analytics workflows, and to publish reusable semantic layers and visual assets that consultants can apply across projects. Operationally the deployment supports Agilab as a small professional services firm, with analytics assets consumed by delivery teams and by client stakeholders to improve cross-department decision making and cost management. Governance was organized around a centralized semantic model and standardized dashboards to ensure consistency across engagements, with phased rollout of assets through client engagements and internal adoption. The integration posture emphasizes connections to customer data sources and cloud data ingestion patterns consistent with Analytics and BI implementations, enabling Agilab to extend analytics models into IoT scenarios as part of its solution expansion. |
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 | 2017 | 2017 | ||
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2017 | 2017 |
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Customer Support | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2017 | 2017 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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IT Service Management | ITSM |
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2018 | 2018 |
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