Assen, 9405 TA,
Netherlands
NAM Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by NAM and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1700 NAM employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that NAM has purchased the following applications: SAS Asset Performance Analytics for Asset Performance Management in 2010, Microsoft 365 for Collaboration in 2017, Adobe Experience Manager for Digital Asset Management in 2015 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems NAM is running and its propensity to invest more and deepen its relationship with SAS Institute , Microsoft , Adobe Systems 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 NAM revenues, which have grown to $420.0 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 NAM 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 Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAS Institute | Legacy | SAS Asset Performance Analytics | Asset Performance Management | ERP Services and Operations | n/a | 2010 | 2011 |
In 2010 NAM deployed SAS Asset Performance Analytics to enable predictive maintenance and outage prediction across its Groningen gas field operations. The Asset Performance Management implementation centralized sensor ingestion and analytics for 20 fully automated production locations, consolidating data from more than 90,000 sensors into scalable analytics workflows.
EOM designed and implemented the architecture and associated business processes so that NAM data scientists and process engineers could analyze current and historical sensor data and deploy analytical models for continuous monitoring. The implementation uses SAS Asset Performance Analytics alongside SAS Data Management, SAS SPD Server, SAS Enterprise BI Server, SAS Visual Analytics, and SAS Enterprise Guide to stage data, support model development, and deliver operational reporting. Intelligent ETL processes ingest raw telemetry from OSIsoft PI, process it into a data warehouse, and populate data marts used by analytical teams, supporting the management of approximately 80 billion observations.
Functional modules and capabilities include time series ingestion, data quality cleansing, KPI generation, model training and deployment for continuous surveillance, and alarm workflow handling. Equipment performance is expressed as KPIs between 0 and 100 and visualized over time in PF curve views customary to maintenance practitioners. Information products delivered through Web Report Studio and Visual Analytics dashboards feed an Event Based Surveillance alarm application that triggers follow up workflow and automatic email notifications via the Wikker SAS portal.
Governance and data quality controls were formalized using Ralph Kimball's An Architecture for Data Quality, with business rules and data quality rules applied during ETL to mitigate the impact of broken sensors and equipment maintenance on analytics. NAM elected to have its chemical process engineers perform analytics and model construction, with training and operational support provided so models could be embedded into day to day maintenance workflows. EOM's implementation contributed to Wikker's success in supporting preventive maintenance of NAM gas production sites.
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2017 | 2017 |
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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 | 2015 | 2015 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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|
|
Transportation Management | SCM |
|
2011 | 2011 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Data Management Platform | CRM |
|
2020 | 2020 |
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Marketing Automation | CRM |
|
2016 | 2016 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2019 | 2019 |
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Content Delivery Network | IaaS |
|
2014 | 2014 |
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