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r&o analytics

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R&O ANALYTICS is a global boutique, all-in-one emerging tech consultant company providing advanced applied data science and engineering services to the mining industry. “We use data analytics to allow for better business decisions based on verified information” Improving project expectation in the face of uncertainty! At R&O ANALYTICS we understand the importance of mine project evaluation for mining firms (and other companies) investing in mineral assets when making final go/no-go investment decisions. Every mining business/project faces unique and complex problems arising throughout the project life; one of these being the uncertainty in future operational and economic variables, such as prices, grades, qualities, and costs. We also understand that mining organisations that don’t cope with chance and uncertainty, and don’t use analytics and optimisation techniques within the evaluation process are relying more heavily on instinct to make critical final decisions. The result of this practice tends to be more subjective, spurious, lack rigor and producing poorer outcomes. We are more than consultants. We are data scientists, engineers, software-algorithm engineers, economic analysts and more. Applied data analytics is key to analyse and improve project performance! Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in the mining industry to allow companies and organization to make better business decisions based on verified information. Data analytics is distinguished from data mining by the scope, purpose and focus of the analysis. Data miners sort through huge data sets using sophisticated software to identify undiscovered patterns and establish hidden relationships. Data analytics focuses on inference, the process of deriving a conclusion based solely on what is already known by the researcher.

R&O ANALYTICS is a global boutique, all-in-one emerging tech consultant company providing advanced applied data science and engineering services to the mining industry. “We use data analytics to allow for better business decisions based on verified information” Improving project expectation in the face of uncertainty! At R&O ANALYTICS we understand the importance of mine project evaluation for mining firms (and other companies) investing in mineral assets when making final go/no-go investment decisions. Every mining business/project faces unique and complex problems arising throughout the project life; one of these being the uncertainty in future operational and economic variables, such as prices, grades, qualities, and costs. We also understand that mining organisations that don’t cope with chance and uncertainty, and don’t use analytics and optimisation techniques within the evaluation process are relying more heavily on instinct to make critical final decisions. The result of this practice tends to be more subjective, spurious, lack rigor and producing poorer outcomes. We are more than consultants. We are data scientists, engineers, software-algorithm engineers, economic analysts and more. Applied data analytics is key to analyse and improve project performance! Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in the mining industry to allow companies and organization to make better business decisions based on verified information. Data analytics is distinguished from data mining by the scope, purpose and focus of the analysis. Data miners sort through huge data sets using sophisticated software to identify undiscovered patterns and establish hidden relationships. Data analytics focuses on inference, the process of deriving a conclusion based solely on what is already known by the researcher.

Primary SectorResearch
Workforce Size1-10 Employees
Global HQBrisbane, Australia
Total Capital RaisedBootstrapped / Private

Corporate Firmographics

Entity classification and operating profile

Industry
Research
Company Type
Privately Held
Founded
Undisclosed
Employee Bracket
1-10
Estimated Revenue Range
Undisclosed

Geographic Coordinates

Headquarters address and regional territory

Street Address
22 Cromarty St Queensland Kenmore
City
Brisbane
Region / State
Queensland
Postal Code
4069
Country
Australia

Digital Presence & Footprint

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Official Domainrandoanalytics.com
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LinkedIn NetworkActive Profile
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