Johannesburg, 2196,
South Africa
Kumba Iron Ore Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Kumba Iron Ore and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 11878 Kumba Iron Ore employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Kumba Iron Ore has purchased the following applications: Predictive Safety SRP PRISM Fatigue Management for Fatigue Management in 2023, OneTrust Cookie Consent for Governance, Risk and Compliance in 2020, Akamai CDN for Content Delivery Network 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 Kumba Iron Ore is running and its propensity to invest more and deepen its relationship with Predictive Safety SRP , SAP , OneTrust 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 Kumba Iron Ore revenues, which have grown to $4.56 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 Kumba Iron Ore 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Predictive Safety SRP | Legacy | Predictive Safety SRP PRISM Fatigue Management | Fatigue Management | HCM | n/a | 2023 | 2023 |
In 2023, Kumba Iron Ore deployed Predictive Safety SRP PRISM Fatigue Management at its Kolomela mine in the Northern Cape region of South Africa. The Fatigue Management deployment targeted operations and safety workflows to predict individual fatigue risk and provide real-time monitoring across mine work zones.
Predictive Safety SRP PRISM Fatigue Management was configured to deliver predictive fatigue risk scoring, individual-level risk alerts, and continuous real-time monitoring dashboards. The implementation emphasized detection of high and severe fatigue zones and tracking of work hours in those zones to inform shift adjustments and supervisory interventions. These capabilities align with standard Fatigue Management functional workflows such as risk scoring, alerting, and zone-level analytics.
The deployment scope was operational, centered on Kolomela mine equipment operators, rosters, and safety supervisors, with instrumentation feeding the PRISM monitoring environment. Business functions impacted included frontline operations, site safety management, and workforce scheduling where fatigue signals were used to adjust supervision and task assignment. The implementation was positioned as an on-site monitoring and decision support layer rather than an enterprise HR or ERP module.
Governance included real-time alarm handling and supervisor response workflows to manage identified high and severe fatigue events, with operational procedures adjusted to incorporate PRISM alerts into daily safety briefings. Predictive Safety's PRISM case study reported approximately 35% reduction in incidents at the Kolomela deployment and noted reductions in work hours in high and severe fatigue zones.
|
|
|
|
|
Time and Attendance | HCM |
|
2020 | 2020 |
|
TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| OneTrust | Legacy | OneTrust Cookie Consent | Governance, Risk and Compliance | TRM | n/a | 2020 | 2020 |
|
|
|
|
|
Governance, Risk and Compliance | TRM |
|
2020 | 2020 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Akamai | Legacy | Akamai CDN | Content Delivery Network | IaaS | n/a | 2015 | 2015 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2016 | 2016 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2022 | 2022 |
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||