how will it
work for you?
Data analytics and machine learning are bridging the gap between an increase in data and realising the full potential benefits data enables. Unfortunately, inadequate data literacy and the ability for organisations to quantify the benefits of data analytics is making this difficult.
Quarterbac helps asset-intensive organisations maximise value by enabling data-driven decisions throughout the strategic planning process.
We are both strategic asset management professionals with real-world experience, and
technology enablers with deep skills in leveraging data across our clients’ organisations through processing, analytics, machine learning and ultimately presenting it in a simple and effective shape for executives
via crafted visualisations.
STRATEGIC ASSET MANAGEMENT
- Planning Transformation
- Embed sector-specific processes
into client-specific technology
- Establish an asset planning
workbench to consolidate all cross-functional planning related data and facilitate data-driven decisions using analytical analysis
- Integrate strategic and asset planning along with work program development process to maximises value and efficiency.
ASSET STRATEGY OPTIMISATION
- Utilising existing client data we
provide insights into analytics such as machine learning to enable modification of asset lifecycle activities and interventions based
on factors influencing performance degradation or failure rates.
PROJECT ANALYTICS AND
- We have expert project /
program / portfolio analytics and
management services that enables robust systems and process around project controls and governance.
This can include:
- Planning and Scheduling
- Project Resource Management
- Integrated Project Control
- PMO Setup \ PPM Solutions
- Delay Forensic Analysis and Claim Preparation
- Reporting Dashboards and Planning Portals
We build and embed analytical decision support systems and bespoke tooling that put the right information front and centre to help solve complex challenges and enable advanced decisions for your business.