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Software Functionality Revealed in Detail
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 geological mining




Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Documents related to » geological mining

QlikView: Business Intelligence (BI) Competitor Analysis Report


This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and manipulation of mission-critical corporate information. BI users are able to access and leverage vast amounts of information to analyze relationships and understand trends that support business decisions. This knowledge base covers everything from data mining to analytics, querying, reporting, workflow, and in-depth analysis.

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Mining & Quarrying


Mining is the extraction from the earth of materials used in different human activities (industry, trade, energy production, etc.). There are four major types of materials: precious metals and minerals (gold, diamonds, silver, etc.); materials used to produce energy (coal, uranium, etc.); base metals (copper, iron, etc.); and building materials (stone, sand, gravel) extracted from quarries, which are open-pit mines. There are two major types of activities specific to the mining industry: exploration, which involves the search for materials; and extraction, which is the activity of getting those materials out of the earth.

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Predictive Analytics; the Future of Business Intelligence


Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive analytics is emerging as a distinct new software sector.

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The Intelligence of Social Media (Part 2)


In the first part of this blog, I mentioned that sentiment analysis measures the polarity of opinion—positive, negative, or neutral—regarding a subject, a product, a service, etc. Two main approaches can be used to perform sentiment analysis or text mining: a knowledge-based approach, which uses linguistic models to classify sentiments; and a learning-based approach, which uses

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Logi 9 Business Intelligence Platform: Business Intelligence (BI) Competitor Analysis Report


This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and manipulation of mission-critical corporate information. BI users are able to access and leverage vast amounts of information to analyze relationships and understand trends that support business decisions. This knowledge base covers everything from data mining to analytics, querying, reporting, workflow, and in-depth analysis.

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Credit Card Fraud Detection: Advanced Analytics in Action or Pure Luck?


Have you ever wondered how credit card companies are capable of detecting purchases that a particular card holder did not make? Do these companies make use of advanced analytics to detect fraudulent purchasing behaviors or do they simply detect these actions by pure luck? A recent incident with my credit card prompted me to investigate further. Here’s what happened. I recently

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MinePoint ERP for Microsoft Dynamics AX


MinePoint ERP is built on the Microsoft Dynamics AX platform. Each module offers standard functionality made available from the Dynamics AX infrastructure, integrated with mining-specific features and functions. MinePoint ERP addresses the challenges of mining companies across the full mining life cycle: Exploration: cost control, tenement/permit reporting, multicompany/currency consolidations, remote access Mine construction: management of engineering and construction projects, procurement and approvals, recording of asset acquisition, workforce mobilization Mine operations: equipment management, enterprise asset management, resource management, workforce management, financial management, business intelligence. MinePoint ERP is successfully implemented for international mining companies—in mine sites and headquarters across the globe: Start-ups with MinePoint financials Midsize global miners with operations in multiple countries Large miners with remote, standalone sites requiring connection to centralized corporate systems Key performance indicator (KPI) reporting out of the box for an incumbent ERP solution or integrated with MinePoint ERP.

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SAP Business All-in-One: Mining Industry (ERP & CMMS) Competitor Analysis Report


This knowledge base includes enterprise resource planning (ERP) and computerized maintenance management system (CMMS) modules geared toward the regular requirements of companies in the mining industry. While including important criteria for financials solutions and human resources, it has additional process workflow, quality management, field service, and other criteria.

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Halo Business Intelligence


Halo Business Intelligence is a global provider of information discovery, business intelligence and analytics systems. Developed to leverage common business software systems, open technologies, and mobile devices like smartphones and tablets. Halo frees non-technical users to do their own data-mining, analysis and reporting without relying on IT staff or proprietary applications. Founded in 2008, the company has more than 300 customers in manufacturing, retail, construction, health care, hospitality and professional services worldwide. Halo focus on the idea of helping everyone in an organization to answer important business questions quickly, easily and cost effectively. It combines traditional business intelligence with big data analytics and super-charges it with next generation visualization and decision support tools that a whole business ecosystem can use. Besides that, Halo provides real value by delivering a collaborative platform that helps enterprises accurately measure performance, quickly find trends and make confident decisions.

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Eliminating Mining Industry Profitability Killers through a Common Decision Environment


Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered by the operational profitability killers embedded in traditional processes. Find out how technology-supported collaborative decision making drives key efficiencies at all stages of the asset lifecycle, from planning and construction through production and into decommissioning.

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