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In today’s rapidly evolving business landscape, companies must stay competitive and drive growth. Businesses require reliable insights to understand customers, identify emerging market trends, streamline operations, develop products that stand out from competitors, and seize new opportunities.
Focusing on high-value problems across the mining value chain to maximize ROI from data solutions
Building alignment and trust between miners, OEMs, METS, and multidisciplinary teams
Embedding quality control throughout the entire data journey and fostering a culture of quality
Identifying issues early helps reduce costs and risks while increasing the success rate of data solutions
Do you struggle with uncertainties around measuring success, calculating return on investment (ROI), and future-proofing your strategy? We help strategic leaders identify key business areas where analytics can have the greatest impact, aligning these with long-term business goals.
We help operation managers ensure that analytics and AI initiatives deliver measurable business outcomes, drive organizational growth, efficiency, and competitiveness, and are adopted throughout the organization.
We help subject matter experts apply their deep expertise and domain-specific knowledge to ensure that analytics and AI solutions align with the business’s nuances and operational needs, producing consistent, high-quality outputs.
We support Analytics and AI tech leaders in executing innovative initiatives, managing resources, and ensuring that both technical solutions and their implementation align with business needs and deliver value to the organization.
Data Strategy advisory service supports mining executives, operational improvement leaders, and digital solution owners in making informed, strategic decisions on data and AI initiatives—ensuring every step aligns with business priorities, operational goals, and long-term vision.
Our Resourcing and Team solutions align with business strategies, build capabilities for strategic data asset development, foster sustainable collaboration, and design scalable structures to meet growing demands.
The Data Quality Lab automates cleansing processes tailored to business requirements, applies specific business rules through customised use cases, and delivers trustworthy input data for downstream analytics.
The Data Contract Engine helps miners integrate and standardise data from multiple OEM/METS systems, ensuring quality compliance, speeding up analytics and AI development, and enabling OEMs to act as strategic partners in data-driven mining operations.
StratDA Portfolio Management aligns projects and investments with strategy, maximises value, optimises resources, balances risks, fosters cross-disciplinary collaboration, and ensures transparency and governance for better decision-making.
The Proof of Concept Lab validates feasibility, demonstrates value, mitigates risks, tests assumptions, and provides evidence for informed decisions—optimising investment, refining solutions, and ultimately improving ROI and success rates before full-scale implementation.
StratDA is a SaaS product that applies cutting-edge technologies and unique insights to overcome the complex challenges that often impede the success of Analytics and AI projects.
Our Proof-of-Concept solution focuses on the specific needs and goals of your business, helping you develop sustainable Analytics AI capabilities to navigate rapidly changing environments.
TeleMARS is a trusted advisor in mining data strategy, providing innovative tools to tackle hidden challenges, align strategy, foster ecosystem collaboration, and improve data quality.
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