RMES Analytics
Aligning Asset Performance with Capital Productivity

In today's highly competitive asset-intensive industries, even the smallest of margins can significantly impact a company's success. Shrewd businesses constantly seek ways to seize every opportunity and attain a competitive edge. It requires optimizing asset reliability initiatives while aligning them with their overall capital productivity. By combining these two critical elements, businesses can unlock unprecedented levels of asset efficiency, productivity, and profitability, leading them to new heights of success in their respective domains.

"Our focus is on asset productivity and how that can support business decisions in asset-intensive industries," says Alessio Arata, CEO and co-founder of RMES Analytics.

RMES Analytics provides subscription-based analytics software and advanced services to boost asset productivity and optimize industrial operations. The foundation of these offerings is its capability to integrate overall business objectives with asset optimization practices. RMES Analytics has earned a distinguished reputation in the industry for enhancing asset performance, increasing throughput, and optimizing costs.

RMES Analytics plays mainly in the high-growth APM software industry. Additionally, it is part of the Mining Software Market whose projected size, according to MarketsandMarkets, is estimated to increase from USD 10.1 billion in 2023 to USD 14.9 billion by 2028, at a CAGR of 8.1 percent during that period.

Pioneering Capital Productivity-Asset Reliability Alignment

Understanding why RMES Analytics is the preferred partner for asset-intensive businesses requires delving into its history, which underscores the company's profound roots in data analytics and its unwavering commitment to innovation.

Adolfo Arata, a distinguished professor at esteemed universities and co-founder of RMES Analytics, pioneered a systemic approach for analyzing asset performance and aligning it to capital productivity and business performance through a bottom-up approach. At the time, he was the founder of a renowned consulting firm in physical asset management.

In 2015 was born RMES Analytics as its SaaS spin-off to help customers achieve higher levels of effectiveness. This was achieved by integrating data analytics tools, advanced IT components, and consulting expertise into software products. Identifying mining as Chile's largest asset-intensive industry, it developed cutting-edge data analytics solutions to optimize asset productivity, one data-driven decision at a time.

Alessio led the transformation from a pure consulting firm to a technology business with a SaaS revenue stream and in 2018 was selected as Endeavor Entrepreneur. In the same year, RMES Analytics became part of the Global Entrepreneur Programme launched by the UK Department for International Trade, which recognized the company as a “unique disruptive technology of exceptional global potential.”

Today, RMES Analytics is at the forefront of developing new approaches, concepts, and methodologies to increase asset productivity and convert them into scalable, end-to-end data analytics solutions valuable across diverse industries like mining & metals, energy & utilities, and transportation. Its disruptive flagship product, RMES Suite, is a game-changer in the mining industry and is used in operations that account for around 25 percent of the global copper production, including 8 out of the top 10 major players. The company’s different product lines cater to the industry's requirements for asset performance management, operational & business excellence, and business optimization, enabling asset-intensive companies to discover and reach the maximum potential of their invested capital.

RMES Analytics’ first tier of solutions includes advanced data classification tools that collect, categorize and standardize data, making it effortless to analyze and utilize it for enhancing asset performance. The second tier offers asset productivity tools that provide valuable insights into boosting process uptime and availability.

In contrast, the third tier offers bottleneck and OEE analysis tools that enable companies to identify and remove operational constraints, increasing production rate and throughput. The fourth tier offers simulation and optimization solutions based on the company’s advanced systemic simulation technology. These products use digital models to forecast the risk of meeting production targets while understanding the specific impact on CAPEX and OPEX.

Rounding out this comprehensive suite are benchmarking tools based on the RMES digital models, that provide users with a transparent and rigorous view of their full operational potential. RMES Analytics has used this technology in benchmarking studies of 25+ major copper mining operations, from 2015 to 2023.

The suite's digital models incorporate algorithms that analyze asset-level KPIs and process outcomes from a strategic perspective.

"Our bottom-up approach aggregates the contribution of each machine and identifies bottlenecks. It then quantifies the impact of each asset on production, including maintenance-related losses and other factors that influence the OEE," says Alejandro Martinez, Chief Product and Technology Officer.

These analyses are implemented in the company’s products and also offered as specialized consulting services that give users a holistic view and understanding of each element's impact on an operation's overall outcome.

Augmenting Business Decisions with Asset Performance Simulation and What-if Analysis

RMES Analytics offers specialized solutions that can forecast system-level performance and process throughput by understanding asset-level drivers. These solutions generate multi-tiered insights that are useful to diverse teams. Quality data is crucial for efficient analytics, and RMES solutions classify various events with remarkable granularity and specificity.

Our Bottom-Up Approach Aggregates The Contribution Of Each Machine And Identifies Bottlenecks. It Then Quantifies The Impact Of Each Asset On Production, Including Maintenance-Related Losses And Other Factors That Influence The OEE

Unlike traditional solutions that mostly use line-level stoppages to analyze asset performance, the RMES platform records all stoppage events at asset levels, paving the way for more advanced operations, such as simulations. This comprehensive dataset empowers businesses to improve internal analytical initiatives and understand the value of quality data.

RMES Analytics practices a two-pronged approach to predictions, understanding the full potential of a particular industrial process for strategic-level forecasts of operational hurdles and maximum addressable production. Advanced modeling and simulation algorithms execute what-if scenario analysis, evaluate a process's maximum throughput, analyze the risk of not meeting utilization or availability targets, and optimize CAPEX or OPEX initiatives. In addition, short-term analysis tools are designed to anticipate and eliminate defects by examining lost production challenges and opportunity costs.

While RMES Analytics' technology is undoubtedly remarkable, its culture of making things work truly sets it apart. At the core of everything it does is an unwavering focus on putting customers first.

Making Things Work—Archetypes of Customer-Centricity

Deploying analytical solutions in asset-intensive B2B environments can present significant challenges. However, the experts at RMES Analytics have a different perspective. They offer consistent value and help companies easily navigate changes, making them a trusted partner for those aiming to stay ahead of the curve. "We work hard to ensure the successful adoption of our products and coach customers to realize their true value," states Alessio Arata. "Our customer success team has developed a specialized methodology called STAIR that has been a vital factor in building lasting relationships with customers."

RMES Analytics believes in being a partner of its customers and helping them realize the value of its products. The firm’s Customer Success team combines industry and product expertise to help customers evaluate baseline scenarios, identify operational deficiencies, and realize hidden potentials, applying the company's STAIR methodology—strategy, target, assessment, implementation, and result.

The STAIR methodology offers a carefully curated approach covering the gamut of SaaS implementation. The team helps clients evaluate baseline scenarios, identify operational deficiencies, and realize hidden potentials, with the resulting improvements driving further optimization, following the principles of continuous improvement.

Its multidisciplinary experts adopt a consultative approach, thoroughly understanding client challenges and the scope of required solutions, followed by efficiently implementing the necessary products.

Whether on-premise or cloud-based, RMES Analytics caters to both and implements a model that most effective satisfies their requirements.

Post-implementation, its cross-functional customer success teams guide clients through the change management process, allowing them to seamlessly adopt the new technological solutions. With a customer-centric ethos, the firm remains close to its clients and proactively seeks feedback to enhance the usability of its offerings. This approach has driven numerous global behemoths toward unlocking the full potential of their industrial assets. With years of experience, the leadership team has devised real-time solutions to emerging operational challenges.

Driving Innovation and Unlocking Asset Productivity

An insightful success story involves the implementation of its solutions at a large processing plant. The use of RMES Suite, the company’s flagship product, enabled bottleneck elimination initiatives that increased the plant’s systemic runtime in 3pp. In addition, the modeling phase uncovered opportunities to increase the full throughput potential by 9 percent.

The operation's reliability team was using RMES Suite to analyze equipment KPI and generate high-quality datasets. However, the corporate maintenance and operational excellence manager needed more clarity on the impact of asset stoppages on production rates. He asked RMES Analytic’s experts to support the site team in taking the next step on OEE analysis.

RMES Analytics’ experts, as guides, helped the reliability team segment data, build advanced analytical models, and uncover hidden bottlenecks. The client improved system-level utilization and uncovered the maximum throughput potential by improving the maintenance strategy, implementing optimized operational configurations, and increasing alignment between mine and mill areas.

"Our Focus Is On Asset Productivity And How That Can Support Business Decisions In Asset-Intensive Industries"

This story showcases the effectiveness of RMES solutions in improving asset productivity and providing valuable insights to clients.

These solutions are deployed across world-leading mining players, optimizing over 5,000 connected assets.

RMES Analytics' success is further exemplified by its contribution to optimizing CAPEX and throughput, bringing companies benefits of hundreds of millions of dollars.

The company’s simulation products have been used in many capital projects of several billion, including greenfield mining initiatives, process plant expansion engineering, long-term investment planning, and fleet technology selection, among others. One noteworthy use case was the analysis of a new crushing and milling plant, that identified stockpile reduction opportunities of US$ 200 million in savings. In this case, a team of RMES Analytics consultants collaborated with an Engineering Office. They modeled the new process and run different simulation scenarios that optimized the baseline design, without sacrificing availability. The best scenarios provided quantitative evidence to support specific and relevant CAPEX optimization decisions.

RMES Analytics has established itself as a leading force in the mining industry with its purpose-driven product suite, customer-centric engagement policies, and academic links with renowned universities in Chile, Argentina, and Italy. Its ambitions extend far beyond its current success. RMES Analytics plans to expand its reach to mining hotspots in Canada, Australia, the U.S., Mexico, and other regions. In addition, it aims to expand its footprint to include asset-intensive sectors like pulp & paper, oil & gas, steel, and industrial conveyor systems. The company is preparing itself for this new stage by advancing its core technology, growing its product offering, and leveraging its relevant customer base. This is driven by a vision of delivering high-impact solutions to support decision-making, differentiating the company from other players by using data to bring managerial insights. This approach already has created novel business space, such as project collaboration with top-tier management consulting companies.

As the significance of data analytics continues to rise, RMES Analytics is poised to set new benchmarks of excellence and drive innovation in the industry. Its success serves as an archetype of the impact an expert team can make in the industry, cementing its position as a leading provider of solutions for asset-intensive businesses.