Kutai Timur, 75683,
Indonesia
Kaltim Prima Coal Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Kaltim Prima Coal and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 5200 Kaltim Prima Coal employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Kaltim Prima Coal has purchased the following applications: Hitachi Ellipse EAM ERP (formerly ABB Ventyx Ellipse ERP) for ERP Financial in 2015, Ascender Preceda for Core HR in 2010, Modular Mining MineCare for Plant Maintenance 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 Kaltim Prima Coal is running and its propensity to invest more and deepen its relationship with Hitachi , SAP , Ascender 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 Kaltim Prima Coal revenues, which have grown to $1.10 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 Kaltim Prima Coal 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 |
|---|---|---|---|---|---|---|---|---|
| Hitachi | Legacy | Hitachi Ellipse EAM ERP (formerly ABB Ventyx Ellipse ERP) | ERP Financial | ERP Financial Management | n/a | 2015 | 2015 |
|
|
|
|
|
ERP Financial | ERP Financial Management |
|
2014 | 2014 |
|
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Ascender | Legacy | Ascender Preceda | Core HR | HCM | n/a | 2010 | 2010 |
|
|
|
|
|
Payroll | HCM |
|
2010 | 2010 |
|
ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Modular Mining Systems | Legacy | Modular Mining MineCare | Plant Maintenance | ERP Services and Operations | n/a | 2018 | 2018 |
In 2018, Kaltim Prima Coal implemented Modular Mining MineCare as a Plant Maintenance solution to ingest real time telemetry from its haul truck fleet. The deployment focused on operationalizing condition monitoring and asset health workflows for mechanical and electric haul trucks, supporting Haul Trucks Maintenance Department and the Mining Operation Division.
The Modular Mining MineCare implementation included configuration of trend event logic to capture inappropriate conditions or operations, fuel burn rate monitoring, and automated condition alerts aligned to reliability engineering workflows. Configuration produced recurring deliverables such as reliability reports for Mechanical Trucks and Electric Trucks, mean time failure after service reports, and fuel consumption reports for operational review.
Integrations were implemented to consolidate data from multiple operational systems, specifically collecting inputs from Ellipse(ABB), Dispatch(Modular), and Minecare(Modular) telemetry streams, and from Caterpillar, Hitachi, and Komatsu truck series. Operational scope covered haul truck fleets and their maintenance and reliability teams, enabling cross functional analysis between Reliability and Condition Monitoring, Haul Trucks Maintenance, and Mining Operations.
Governance and process changes included vendor coordination and multidisciplinary reliability meetings to review problem analyses, agree action plans, and track completion of corrective activities. The implementation produced regular analytical outputs and recommendations to assist the Haul Trucks Maintenance Department in meeting performance availability targets, and engineers also leveraged the MineCare data to support related engineering projects and inventory lifecycle activities.
|
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Analytics and BI | Analytics and BI |
|
2008 | 2008 |
|
|
|
|
|
Analytics and BI | Analytics and BI |
|
2019 | 2019 |
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Collaboration | Collaboration |
|
2022 | 2022 |
|
SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Fleet Management | SCM |
|
2018 | 2018 |
|
EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
EPM | EPM |
|
2008 | 2008 |
|
PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
2D/3D Simulation, Geology and Seismic Data Processing | PLM and Engineering |
|
2011 | 2011 |
|
|
|
|
|
Geology and Seismic Data Processing | PLM and Engineering |
|
2011 | 2011 |
|
CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Endpoint Detection and Response (EDR) | CyberSecurity |
|
2013 | 2013 |
|
|
|
|
|
Web Application Firewalls (WAF) | CyberSecurity |
|
2023 | 2023 |
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||