Real-World Case Studies and Customer Success Stories with XLSTAT

@RISK helped Kansas State University College of Veterinary Medicine model disease risk in beef cattle. The team used @RISK to... analyze the probability and cost of disease introduction and management strategies. The tool allowed them to account for variability and uncertainty in their data. They identified the best management practices to reduce disease risk and economic loss. This improved decision making for disease control in beef cow-calf herds.
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NVivo helped Governors State University study how viewers accept political messages from US talk shows. David Rhea used NVivo to... organize and code interview data quickly. The software made it easy to find themes and analyze qualitative data. NVivo's features let him manage sources and create visual maps. The research findings were shared at a national conference.
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NVivo helped Bruce Tsuji, a PhD student at Carleton University, analyze how experts and novices understand data. He used NVivo... to code and query verbal transcript data from faculty and students explaining graphs. NVivo made it easy to identify and track nine key components in their explanations. Bruce found NVivo's query feature especially useful for seeing patterns in the data. He said he could not have completed his analysis without NVivo.
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@RISK helps Illinois State University students learn advanced financial analysis. Dr. Joaquin uses @RISK in MBA and undergraduate classes for... real-world business problems. Students use Monte Carlo simulation for capital budgeting, cash planning, and portfolio diversification. The software is easy to use, making students more confident with data analysis. Dr. Joaquin says @RISK helps students create credible simulations and recommendations.
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@RISK software helps the University of Tokyo improve detection of mad cow disease in Japan. Professor Sugiura uses Monte Carlo... simulation in @RISK to model and predict the impact of testing cattle at different ages. The tool allows researchers to build risk models in Microsoft Excel without new programming skills. This approach helps improve food safety by better understanding the risks and outcomes of BSE testing. The research supports more effective surveillance and decision-making for animal health.
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Experiential Learning Cloud helped University of Texas at Arlington improve social work student placements. The university faced slow, manual processes... and poor mobile access with their old system. After switching, they reduced student placement time by 80%. They now place over 600 students each semester. Reporting time dropped by 88%. Staff and students find the new system faster and easier to use.
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Experiential Learning Cloud helped Georgetown College save 1. 5 months of manual work. The college used to track student field...experience with spreadsheets and paper, causing errors and lost data. With Experiential Learning Cloud, students log hours directly, and all data is in one place. Over 300 learners now use the system. The platform ensures compliance, supports remote feedback, and integrates with Canvas. Georgetown College now has a single source of truth for student data and is ready for accreditation.
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Experiential Learning Cloud helped Central Michigan University improve its Counselor Education program. The university faced slow, manual processes and needed... a flexible, easy-to-use tool. Experiential Learning Cloud reduced manual work by 75%. It saved 1.5 months of manual effort. The platform gave the team a single source of truth for student data. Students and staff now access reports and track hours with just a few clicks.
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Patrick Engineering used @RISK software for the Massachusetts Bay Transportation Authority's Downtown Crossing Vertical Upgrade project. The challenge was to... manage risks in elevator upgrades and meet accessibility requirements. Patrick Engineering held a quantitative risk workshop to identify and assess project risks. They built a risk model using @RISK to estimate cost and schedule contingencies. This approach helped the team and their client understand possible project outcomes and prepare for risks.
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ENGCOMP used @RISK to help the Canadian Department of National Defence plan the budget for a major construction project. The challenge was... to reduce uncertainty in the budget and schedule for the Fleet Maintenance Facility Cape Breton. ENGCOMP ran Monte Carlo simulations to analyze risk and determine the right contingency budget. The analysis showed most uncertainty came from market changes and unknown site conditions. Using @RISK helped ENGCOMP give DND a more confident and accurate project budget.
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PrecisionTree helps Wyllie & Norrish Rock Engineers analyze debris flow hazards. They compare three options: do nothing, build a dam,... or move homes. The software models the chance and cost of each event. Building a dam costs $200,000, with a low chance of extra damage. Doing nothing risks $750,000 in damage. Moving homes costs $2 million. The analysis shows building a dam is the best choice, with a total expected cost of $200,150.
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@RISK helps Zachry Group improve reliability engineering for industrial clients. Zachry engineers use @RISK and Monte Carlo simulation to spot... failure trends early in plant assets. The solution analyzes small datasets from work order data, using Poisson distribution in reverse to detect unusual failure times. This lets engineers act fast to prevent more failures. The approach gives statistically sound confidence in results, even with limited data.
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NVivo helped USAID LEARN analyze qualitative data for their Learning Agenda. The team used NVivo to review interviews, focus groups,... and documents quickly. NVivo identified key themes and reduced over 100 questions to the best five. The software showed that more than 20 USAID units use Learning Agendas. NVivo revealed top reasons for using Learning Agendas, like accountability and leadership changes. This improved USAID's ability to learn and grow from their programs.
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@RISK helped the Louisiana Department of Health plan for hospital evacuations during hurricanes. The department needed to move many patients... to out-of-state hospitals. They used @RISK to build a risk analysis model with a custom interface. The model handled many unknowns and helped justify resource requests to federal partners. This tool let them run up to 10 different scenarios and support emergency planning with clear data.
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NeuralTools helped the Western Australia Department of Agriculture predict prices for less common types of Australian wool. The team used... NeuralTools to analyze nearly 6,000 records and identify key factors like wool fiber diameter. The software's Best Net Search and Live Prediction features made it easy to refine the model. After testing on over 1,500 cases, the model gave reliable price predictions. The department praised NeuralTools for its user-friendly design and ability to handle complex data.
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NVivo 8 helped Alberta Health Services manage a large health care reform project. The team used NVivo 8 for qualitative... data analysis in a five-year study. They collected and analyzed data from primary care networks across Alberta. NVivo 8 supported collaboration and evidence-based practice. The software enabled immediate outcomes for care networks and helped achieve project goals. The project focused on new models of care and interprofessional collaboration.
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@RISK helped University of Texas Southwestern Medical Center study kidney transplant decisions. Dr. Tanriover used @RISK to build a regression... model and run Monte Carlo simulations. The tool let them predict kidney transplant outcomes with limited data. Results showed kidney size is the key factor for recipient outcomes. The study found split function tests and biopsies are not needed in the decision process.
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NVivo helped the Clinical and Translational Science Center at University of New Mexico Health Sciences Center manage a large cancer care research project. The team used... NVivo to organize and screen 500 articles, narrowing them down to 25 for a comprehensive literature review. NVivo's features made it easy to import, classify, and code research documents. The software saved time and improved the team's ability to compare and analyze qualitative data. NVivo supported collaboration and efficient data management for the research team.
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@RISK helps FiduciaryVest model asset allocation for long-term investment pools. The team uses @RISK to analyze many asset classes and... fit the right probability distributions. This software lets them show clients how longer time horizons improve portfolio diversification. They use a 'building blocks' approach, starting with risk-free rates and adding risk premia for each asset class. @RISK makes it easier to explain complex forecasts to clients and improve financial planning accuracy.
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@RISK software helped Pellegrino & Associates value intellectual property for early-stage companies. The firm faced challenges in valuing IP with... many unknowns, like market adoption and risks. They used Monte Carlo simulation in @RISK to model these uncertainties. This approach increased confidence in their valuations and provided clear, defensible evidence in court. Pellegrino & Associates used @RISK in over 300 client engagements across many sectors.
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NVivo and Endnote helped Ole Steen Kristensen manage a large metasynthesis of literature. He studied the challenges young people face... when leaving foster care. He needed to sort and analyze thousands of articles with different methods and topics. NVivo and Endnote made it easier to organize, sift, and analyze the research. This led to a quality assessed metasynthesis of the literature.
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DecisionTools Suite helped BRISK at the University of Bristol model volcanic risk in Guatemala. Researchers used @RISK and PrecisionTree to... estimate the chance of successful evacuation during eruptions. The tools let them use Monte Carlo simulation and expert judgment to analyze risk. This approach gave clear insights into evacuation probabilities and improved risk planning. The work supports better safety for people living near Volcán de Fuego.
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PrecisionTree helps Project & Portfolio Value Creation (PPVC) guide pharmaceutical companies in drug development. PPVC uses PrecisionTree to model decision... trees for clinical trial sequencing. The tool analyzes different pathways for anti-inflammatory drugs targeting asthma, IBD, and lupus. Sensitivity analysis shows that starting with IBD trials gives the highest risk-adjusted net present value of $552 million. Dr. Richard Bayney, PPVC's president, praises PrecisionTree for its analytic power and versatility.
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Citavi helped Roche Pharma Germany cut manual dossier preparation from three weeks to one click. The company needed to manage... complex, regulated HTA dossiers with thousands of pages and strict citation standards. Citavi's server-based solution enabled secure, collaborative work and standardized processes. Roche Pharma Germany stored over 16,000 PDFs for instant access. The team now exports dossiers with one click, ensuring full data control and compliance.
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@RISK software helped CONTI-Group meet new EU regulations for transparency in shipping investments. Before, they built financial models manually in... Excel, which took a lot of time. With @RISK, they quickly create models and use Monte Carlo simulations to show risk and return. This gives investors and regulators clear, easy-to-understand reports. CONTI-Group now manages risk better and delivers strong results for over 50 funds.
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NVivo helped The Strategy Unit at NHS Midlands and Lancashire Commissioning Support Unit improve qualitative data analysis. The team used... NVivo to manage and analyze large sets of interview and focus group data. NVivo brought more rigor and systematic methods to their research. This allowed them to support healthcare decision makers with stronger evidence. The team used NVivo’s features like visualizations and flexible data interrogation. NVivo improved their report writing and methodology design.
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NVivo helped Universal Music, Warner Music, and SonyBMG analyze complex qualitative data for workforce development. The challenge was to adapt... to digital music trends and improve training and learning. NVivo managed interviews, documents, and photos, making data storage and analysis easier. The tool enabled deep case studies and cross-company insights. This supported better training, career growth, and digital transformation in the music industry.
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@RISK helped Revay and Associates assess risks for the Fort McMurray Airport Authority. The airport faced rapid passenger growth, staffing... and infrastructure constraints, and pressures from stakeholders. Revay used @RISK to analyze both project and enterprise risks for a major terminal expansion. The solution supported risk management for capital costs, schedule uncertainty, and broader organizational objectives. This approach helped the airport plan for future growth and manage complex risks.
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@RISK Developer Kit helps Hitachi Solutions East Japan Ltd. manage risk in manufacturing. The Planning Department uses it to analyze... supply chain, production, and inventory risks. They built a custom system in C++ to use @RISK outside Excel, letting them visualize and forecast risks. This helps them make better decisions about supply, demand, and pricing. Hitachi values the product’s flexibility and the training and support provided.
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@RISK helps Virginia Commonwealth University students in the 'Managing Financial Risk' class learn risk management. Students use @RISK to analyze... accounting data and find which inputs most affect net income and net worth. They use Monte Carlo simulation and statistical distributions to study risk. For Amazon, students found 'Property, plant, and equipment' and 'Cash and short-term investments' are key risk factors. The class acts as a risk committee, comparing results and providing insights.
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@RISK helps Leonardo Company (AgustaWestland) analyze financial risks for new helicopter projects. The team uses @RISK to build business cases... and feasibility studies. They moved from a basic Excel model to @RISK for better risk analysis. @RISK lets them use probability curves and Monte Carlo simulation. This gives more accurate forecasts and helps management make informed decisions.
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DecisionTools Suite helped Eastern Electric Utility improve electricity sales forecasting. The company faced challenges with traditional load forecasting due to... new technology, changing energy preferences, and unpredictable weather. The risk management team used DecisionTools Suite to model variables like weather, efficiency, and economic data. They used @RISK and StatTools for regression and distribution fitting. The new approach gave a clearer view of revenue volatility and improved decision-making for facility expansion.
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@RISK helps the University of Witwatersrand teach mining engineering students about financial risk analysis. Students use Monte Carlo simulation in... both undergraduate and postgraduate courses. The tool turns financial analysis from a static topic into a hands-on exercise. Each year, 700 to 900 students learn to use @RISK for mine financial evaluation. Students apply the software to real-world projects, learning about risk and variability in mining investments. Professors say @RISK is essential for preparing students for industry challenges.
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@RISK helped California Polytechnic State University analyze risk management for California produce farms. Many growers use an 80% hedge ratio,... selling most crops in advance and the rest on the spot market. Cal Poly experts used @RISK to test if this rule-of-thumb works. Their analysis showed that selling as much as possible with forward contracts is better for long-term profits. The 80% hedge ratio does not give extra profit from spot sales over time.
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DecisionTools Suite helps MBA students at the University of Houston solve real business problems. Students use the software to model... complex decisions in their own companies. They quickly learn and apply the tools to optimize wind farm allocation, plant shutdown schedules, and hospital deposit strategies. The software enables fast learning and practical application in the classroom and for executive MBAs in China. Students solve significant business challenges using these analytics tools.
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@RISK and PrecisionTree helped University of California San Diego School of Medicine improve Hepatitis B screening in Asian populations. Researchers used the... software to build models and decision trees. They found the best test type and location for different groups. Their findings changed public health policy in San Diego County and influenced national guidelines. The project targeted high-risk Asian immigrant communities with up to 18% infection rates.
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@RISK and RISKOptimizer helped George Washington University researchers solve complex debt portfolio and capital investment problems. Dr. Emmanuel Donkor used... these tools to find the best mix of debt sources, aiming to maximize project value and lower default risk. The team built a financial model in Excel and used RISKOptimizer to keep default risk below 5%. @RISK simulations then tested the chosen debt policy. Their new method improved on old ways by considering multiple debt sources and chance constraints, gaining recognition in the field.
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@RISK helped Cambridge University's Judge Business School analyze climate change for the Stern Review. The team used @RISK's Monte Carlo... simulation in Excel to model climate and economic impacts. The tool let them see all possible scenarios and measure uncertainty. This helped them advise on the best ways to address climate change. The software made results easy to understand for everyone involved.
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@RISK helped Swinburne University of Technology analyze risk and uncertainty in new ventures. Researchers used @RISK to model a new... mobile app business for Adventure Capital. They identified unknowns like market size, adoption speed, and resource needs. @RISK enabled them to model how changes in inputs affect business outcomes. This helped them understand and manage risk in their business model.
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@RISK and DecisionTools Suite help Shanghai Jiao Tong University students and researchers with risk analysis and decision making. Professor Li Mian... uses these tools in both teaching and research. The software makes complex calculations much faster, reducing work from 20 hours to just 1 hour. Students learn to use Monte Carlo simulation for product pricing and engineering design. The tools are easier to use than alternatives like Matlab, saving time and effort.
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@RISK helps students at Cornell University's Dyson School learn about finance problems. The Risk Simulation and Optimization course uses @RISK... to teach capital budgeting, investments, random walks, derivatives pricing, and real options. Students convert textbook finance models into probability models using @RISK. Monte Carlo simulation is used to price options and analyze cash flow risk. The course has about 45 students each semester.
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Predict! helped Corio move from manual, spreadsheet-based risk tracking to a structured, web-based risk management system. Corio needed better visibility... and control as it grew its offshore wind projects. Predict! provided a single environment for all risk data and decision-making. Corio gained 100% portfolio visibility and 24/7 dashboard access. This improved risk conversations and supported their net-zero energy mission.
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Experiential Learning Cloud helped Central Methodist University modernize its counseling program. The university replaced paper-based processes across four campuses with... a single digital platform. This change led to a 98% time savings on manual tasks. The platform centralized student data and made compliance with accreditation easier. Faculty, supervisors, and students now use one system for all fieldwork documentation and communication.
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Experiential Learning Cloud helped Winthrop University manage student placements and field hours. Before, staff tracked nearly 400 students with manual... processes and multiple systems, causing wasted time and high costs. The university chose Experiential Learning Cloud for its all-in-one tracking, reporting, and user-friendly design. After implementation, data entry and tracking became much faster. Placement setup time dropped by about half, and course setup time was cut to a third. Students and staff found the system easy to use and appreciated having everything in one place.
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Experiential Learning Cloud helped The Chicago School of Professional Psychology modernize their data management. The school struggled with outdated databases... and manual processes as they expanded from 7 to 31 programs. They needed easy data collection, high customization, and fast support. The new platform improved internship and practicum management for 1,500 students yearly. It also made accreditation reporting easier and more efficient.
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Experiential Learning Cloud helped Seton Hall University streamline its social work field placement process. The university replaced paper and email-based... systems with a single platform. Admins saved about 50% of their manual processing time, cutting 1.5 months of manual work. The platform created a single source of truth for student data. Faculty can now track student progress in real time and respond quickly to issues.
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Experiential Learning Cloud helped a university social work program move from paper and fax to a digital field management system. The program needed... a tool to improve student learning, simplify placements, and support accreditation. Experiential Learning Cloud offered an easy-to-use, customizable platform. It saved time for administrators and made field management easier. Students gained more placement options and better access to information. The program now runs more efficiently and supports future growth.
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Experiential Learning Cloud helped Heidelberg University improve efficiency in its Master of Arts in Counseling program. The platform streamlined application... and documentation for field placement. Students now spend less time on paperwork and more time serving clients. The system supports licensure tracking and ongoing access after graduation. Feedback from students and supervisors has been positive. The solution was funded by a $1.3 million grant to support counselor training and technology for field work.
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@RISK helped the Stronger Christchurch Infrastructure Rebuild Team estimate costs for rebuilding Christchurch after major earthquakes. The team faced huge... uncertainty and risk in a $2.2 billion, five-and-a-half-year program. Using @RISK, they modeled cost variability and provided decision makers with clear risk assessments. This gave leaders confidence to move forward with the rebuild. SCIRT completed over 700 projects, repairing vital city infrastructure.
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DecisionTools Suite helps Rusnano manage risk in private equity investments. The company uses @RISK and TopRank to model KPIs at... both portfolio and investee levels. These risk analysis tools let Rusnano calculate investment value and understand portfolio liquidity. Risk managers use the software to communicate uncertainty and identify key risk factors. The tools support risk mitigation planning for successful project outcomes.
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@RISK and RISKOptimizer helped Performance Thinking & Technologies optimize a hedge fund portfolio. The team used simulation and quantitative modeling... to balance risk and return. They identified the best mix of long and short positions for the fund. The software let them test many combinations to find the optimal portfolio. This approach moved the client from a qualitative to a quantitative process. The result was a more structured way to manage investment risk.
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@RISK helped Johns Hopkins University improve hospital pandemic planning. The team used Monte Carlo simulation to model pandemic scenarios and... resource needs. They ran 10,000 simulations to test bed and ventilator capacity. The analysis included epidemiologic data and historical pandemic curves. This approach gave better guidance for hospital preparedness and resource allocation.
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DecisionTools Suite helped Rudd Asset Management analyze a waste-to-energy project for a large horse racing and competition complex. The challenge was... to turn costly stall bedding and manure disposal into a profitable, green energy source. Using Monte Carlo simulation and risk management, RAM found the project could deliver an expected net present value of nearly $1.2 million in 5 years. The analysis showed an 18% internal rate of return and a debt coverage ratio over 3.6. The solution made renewable energy both feasible and cost-effective for the client.
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@RISK helped UK HM Prison and Probation Service manage risk in over 80 capital works projects. Faithful & Gould used... @RISK to model cost and schedule uncertainties. They ran risk identification workshops and created risk registers for each project. Cash flow simulations with @RISK matched real outcomes, giving confidence in the program. The service used these results to make contingency plans for significant risks.
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@RISK helped the University of Melbourne study the financial impact of a carbon tax on Australian dairy farms. Dr. Şeyda Özkan... used @RISK to simulate profits for two feeding systems. The complementary forage-based system had higher profits but more risk than the traditional ryegrass system. The carbon tax caused losses in both systems. The study gave new insights into carbon policy effects on dairy farming.
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Purdue University used @RISK decision software to analyze the risks and costs of building an aviation biofuel plant. Researchers modeled variables... like capital cost, feedstock cost, and fuel yield to forecast breakeven prices. They found that government policies, especially reverse auction incentives, reduced investment risk more than capital subsidies. The study showed that private investment in aviation biofuels is risky without policy support. @RISK helped quantify uncertainty and guide policy decisions for biofuel projects.
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@RISK helped the United Nations Development Program Kuwait Integrated Management Project model traffic congestion. The team used Monte Carlo simulation... to analyze vehicle spacing and speed. They ran 5,000 iterations for different vehicle types and speeds. The model gave fast, clear results for estimating vehicle numbers. This tool made complex analysis easy in Excel. The project found new uses for air pollution and civil engineering research.
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@RISK helped Lund University students model financial risk in a corporate risk management course. Students used @RISK to simulate 10,000... scenarios for a fictional oil and gas company. They measured cash flow shortfall, debt capacity, and covenant breaches. The tool let students test risk management policies and see the impact of hedging strategies. @RISK resources like tutorials and videos supported learning and improved analysis.
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@RISK and BestFit helped Kennecott Utah Copper assess selenium exposure in wetland birds. The team used Monte Carlo analysis and... probabilistic modeling to predict egg selenium concentrations. This approach reduced the need for destructive egg sampling. The findings led to better water quality and the creation of a 3,670-acre bird sanctuary. The study also supported new EPA water quality criteria.
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@RISK helped Post Danmark lower insurance premiums by using Monte Carlo simulation for risk analysis. The company used @RISK to... analyze data from every insurance-related incident since 1996. This gave them a clear view of operational risks and accident likelihood. With @RISK, Post Danmark could predict risks more accurately and negotiate better insurance rates. The software made risk management easier and more cost-effective for the national postal service.
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DecisionTools Suite helped Sark7 analyze risk and profit for a biofuel plant project. Sark7 used @RISK to model net present... value, PrecisionTree for scenario planning, and Evolver for plant optimization. This approach let them integrate many variables and uncertainties into one risk simulation. The tools gave a clear view of which factors most affect project success. Sark7 could balance profit and risk, making better decisions for sustainable energy investments.
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@RISK helped University of California Berkeley model extinction risk for the Devils Hole pupfish. Dr. Steven Beissinger used Monte Carlo... simulation in Excel to project population trends and extinction probabilities. The model showed most pupfish populations would go extinct within 50 years, with a median extinction time of 26–27 years. Removing eggs for captive breeding had the least impact on population growth. The software made complex risk analysis easier and more intuitive for researchers.
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@RISK helped the National Oceanic and Atmospheric Administration model Atlantic salmon populations in the Penobscot River. The team used @RISK... to simulate the effects of 15 hydroelectric dams on salmon life cycles. They ran thousands of model iterations to test different dam and restoration scenarios. The Excel add-on made it easy to use and share results. The research supported decisions for the Penobscot River Restoration Project. This improved understanding of dam impacts on endangered fish.
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@RISK helps Solis Financial Forensics analyze economic damages and lost profits. The company uses Monte Carlo simulation to model future... outcomes in litigation and consulting cases. @RISK lets them test ranges for variables like growth rates and inflation. This gives more certainty in financial forensics and business valuation. The tool supports expert testimony and complex financial investigations.
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@RISK helped AECOM analyze climate change flooding risks for the Australian Department of Climate Change. They used Monte Carlo simulation... to model costs and benefits of adaptation measures for Narrabeen Lagoon. The analysis showed planning controls should be implemented immediately, while expensive infrastructure like levees could be delayed. This approach gave decision makers clear data to maximize net present value and avoid unnecessary early investment. AECOM used @RISK to support economic cost-benefit analysis for climate adaptation.
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@RISK helped Clinic Barcelona study the cost and health impact of blood transfusion safety. Dr. Pereira used Monte Carlo simulation... to model the risks and costs of hepatitis B transmission. The analysis found that single-donation HBV NAT would cost $6,519,000 per life-year gained, while enhanced HBsAg assays would cost $888,000 per life-year. The study showed that new technology brings small health benefits at a high price. The results informed public health policy decisions in the European Union.
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NeuralTools helped a Costa Rican commercial airline predict demand and price elasticity using neural networks in Excel. The airline analyzed... 143,000 ticket records across 17 routes to set accurate price points. The model found that revenue peaked at a mean fare of $174, with 22 passengers per flight. Occupancy dropped sharply above $185 per ticket. NeuralTools enabled the airline to optimize pricing and maximize revenue based on real data.
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@RISK helped Tulane University assess health risks for the Vietnamese shrimping community after the Deepwater Horizon oil spill. Researchers used @RISK... to model cancer and health risks from PAHs in shrimp, running 10,000 simulations. The study found PAH levels in shrimp were very low, with no known carcinogens detected. Even under conservative assumptions, health risks did not exceed FDA and EPA guidelines. Only the most extreme model showed excessive risk, and only at the highest exposure levels.
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@RISK helps Value Management Strategies, Inc. (VMS) analyze risk for complex projects. VMS uses Monte Carlo simulation to model cost... and event uncertainties. This approach gives clients clear risk profiles and helps avoid delays and cost overruns. VMS finds @RISK's output graphs and integrated cost-schedule risk models valuable for decision making. The software supports better project delivery and resource management.
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@RISK helped John Muir Land Trust improve fundraising forecasts. Before, they used rough estimates for campaign returns. With @RISK, they... modeled donation patterns and predicted 60% of funds by day 40. The tool let them see final returns early, settling at $150K by day 32. This saved money by reducing unnecessary mailings. Excel integration and ease of use were key features.
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@RISK helps AMSAA avoid schedule and cost overruns in Army acquisition programs. AMSAA uses @RISK to integrate schedule and cost... risk, providing a single risk rating for decision-makers. Monte Carlo simulation models show an 82% chance of missing schedule dates. The tool enables flexible risk modeling and supports better decisions for Army projects. AMSAA applies the results to a DOD risk reporting matrix for clear risk communication.
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@RISK helped the University of New Brunswick model nutrient transfer in aquaculture. Dr. Gregor Reid used @RISK to find the... best kelp-to-salmon ratios for reducing fish waste. The tool's distribution fitting and Excel integration made it easy to handle complex data. This improved environmental management and supported more efficient seafood farming. The research led to a published paper in Aquaculture.
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@RISK helped Fitness First manage rising electricity costs across 75 gyms in Australia. Fitness First used NRG Insight, powered by... @RISK, for automated bill validation, budgeting, and forecasting. The solution gave executives more confidence in energy efficiency strategies. Fitness First increased their energy efficiency budget after seeing positive results. The analytics tool improved capital sign-off and ROI measurement for energy projects.
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DecisionTools Suite helped a major electronics retailer save nearly $250 million in one year. The company used StatTools, @RISK, and... PrecisionTree to analyze private label credit card (PLCC) marketing and streamline the card application process. StatTools revealed detailed customer purchase patterns, improving campaign targeting. PrecisionTree mapped customer decisions, leading to faster PLCC approvals. The new process cut approval time from nine minutes to 90 seconds, driving higher card usage and major cost savings.
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@RISK helped Transae analyze financial risks for high-speed rail projects in France. The tool managed large data sets and modeled... risk factors for public-private partnerships. Transae used @RISK to assess Value at Risk for project financing over 50 years. The software enabled detailed simulations of capital, operating, and revenue risks. This improved risk management for complex rail infrastructure projects.
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@RISK Monte Carlo simulation helped PCM Consulting assess financial risk for biogas plants in South Africa. The tool analyzed 8... scenarios from 0.5 to 6 MWe capacity, comparing CHP and bio-methane pathways. Results showed larger plants (5 MWeq and above) had higher Net Present Value, with economies of scale boosting profitability. Financial risk for small plants was driven by investment cost, while large plants faced more revenue-linked risk. PCM Consulting gained insights to guide investment decisions in the biogas sector.
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@RISK helps the Technical University of Denmark Centre for Traffic and Transport analyze risk in transport projects. The team uses... @RISK for cost-benefit analysis, construction cost prediction, and freight transport planning. The software's Monte Carlo simulation gives a full view of possible outcomes. This leads to better decisions for road building, airport planning, and government budget use. The tool is easy to use and supports large infrastructure projects.
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@RISK helped LStar Capital close a $200 million co-financing deal with Sony. The risk modeling tool cut closing costs by... about $20 million. LStar Capital used @RISK for statistical analysis and risk quantification in film financing. The software enabled accurate predictions for film revenue and spending. LStar Capital did not need outside advisors, gaining a competitive advantage in financial services.
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@RISK helped Duke Energy make fast, high-stakes decisions in a changing utilities market. The company used @RISK to model transactions,... focusing on asset values and risk. The tool's intuitive interface let analysts work with incomplete data and still get results with 90% certainty. @RISK supported asset valuation and decision analytics across departments. This improved decision speed and confidence for Duke Energy.
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Pantektor AB uses @RISK to improve fire safety in building projects. The company inputs fire risk variables into Excel models... with @RISK, using Monte Carlo simulation to predict possible fire scenarios. This helps Pantektor design safer buildings and choose the best fire protection strategies. The solution supports both new and existing structures. Pantektor's team relies on @RISK's sensitivity analysis to identify key risk factors and make informed decisions.
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@RISK helped the University of Adelaide School of Chemical Engineering predict metal corrosion risk at sea. Dr. Kenneth Davey used... Monte Carlo simulation to analyze pitting in offshore oil and gas equipment. The team ran 5,000 simulations and found a 9.26% pitting risk in the Bass Strait. They created 'isorisques,' maps showing equal risk of metal corrosion. This work was shortlisted for the IChemE Global Awards for innovation.
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@RISK software helps the University of Pennsylvania teach graduate students about managing uncertainty in decision-making. Keith Hornbacher uses @RISK in... his course to let students analyze real case studies. The software is easy to learn and lets students focus on data, context, and leadership skills. @RISK for Excel and Project are key tools for cost and schedule risk analysis. Students gain hands-on experience with risk management and decision analytics.
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@RISK helps PragmaRisk International improve risk management for engineering and construction projects. The company uses Monte Carlo simulation to analyze... project risks and plan contingency budgets. @RISK integrates with Microsoft Excel and MS Project, making risk modeling faster and easier. PragmaRisk builds models that combine cost and schedule data to help clients avoid budget overruns. The software supports advanced risk analysis and helps structure project data for better decision making.
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@RISK helps National Grid UK simulate and measure network restoration performance for power failures. The company uses Monte Carlo simulations... to plan for extreme weather, cyber attacks, and other risks. The model uses 12,000 samples per simulation and runs 5,000 samples to map solutions. This approach gives detailed insights for investment and policy decisions. National Grid can now optimize resources and improve restoration plans using data-driven analysis.
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@RISK helped Throughput Professionals improve an oil refinery's process. The team used @RISK to analyze over 5,000 variables and narrowed... them to five key drivers. They used Monte Carlo simulation and statistical process control to find the best setup. The refinery increased fuel production yields by 1.5%. This led to savings of $40 million.
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@RISK helped Kinder Morgan Energy Partners manage risk for the Trans-Mountain Pipeline Expansion Project. The project faced complex financial risks... and required advanced risk analysis. John Zhao from Riskcore Ltd. used @RISK to simulate hundreds of variables and quantify both known and unknown risks. The software enabled a reliable, auditable risk model for a $7.4 billion, 700-mile pipeline project. This approach supported better decision-making and project planning in the oil and energy sector.
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DecisionTools Suite helps Cynametrix, a financial analytics consulting firm, integrate life insurance products into financial analysis. The firm uses Monte... Carlo simulation and optimization to compare life insurance with other investment assets. Their proprietary MAVsm method, powered by @RISK, models mortality probability and complex variables. This approach lets Cynametrix show clients the financial impact of different decisions. The solution handles over 250,000 variables for accurate portfolio optimization.
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@RISK helped the University of Buenos Aires manage risk in large-scale farming. Professor Ariadna Berger used @RISK to build agricultural... portfolios, mixing crops and regions to reduce risk. She combined simulation models and historical data to predict yields. The tool integrated with Excel, making it easier to analyze uncertainties and improve decisions for farming operations. Some portfolios covered up to 100,000 hectares, with costs around $125 per hectare.
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Aquenta uses @RISK software for quantitative risk analysis on major infrastructure projects. The team applies @RISK for both cost risk... analysis and schedule risk analysis, capturing uncertainties in project assumptions. They use industry best practices and a variety of statistical distributions to model risks. Outputs like probabilistic cash flow and sensitivity analysis help assess if projects stay within budget and schedule. Aquenta values @RISK’s integration with DecisionTools and its strong modeling features for risk management.
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@RISK and PrecisionTree help Aspinall Associates analyze volcano risks on Montserrat. Physicist Willy Aspinall uses these tools to model eruption... scenarios and quantify expert opinion variability. PrecisionTree lets him enter probability distributions at any point, improving risk assessment. The software supports both urgent hazard mitigation and long-term planning for the island's safety.
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@RISK helped HealthCare Appraisers Inc. analyze seven expansion scenarios for an ophthalmic surgery center. The team used Monte Carlo simulation... to model revenue, expenses, and profit-loss statements. They tracked the impact of each scenario using historical data and probability distributions. The solution improved understanding of uncertainty and value drivers in healthcare business valuation. HAI used outputs like Tornado graphs to check for reasonableness and ensure accurate results.
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@RISK, Evolver, and RISKOptimizer helped Northern Indiana Public Service Company (NIPSCO) manage contract risk and optimize power generation. NIPSCO used these... tools to model pricing, investment, and production scenarios, supporting decisions with clear data. Evolver enabled a 30% savings by optimizing plant operations to meet EPA emission standards. The software's analytics let management quickly assess risk and make confident choices. NIPSCO now uses Lumivero tools to anticipate regulatory changes and improve decision-making.
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@RISK helped Deloitte AIS build fast, accurate financial models for mine rehabilitation in South Africa. The team used stochastic modelling... and Monte Carlo simulation to manage funding risks and regulatory compliance. @RISK replaced manual Excel models, saving time and reducing errors. Deloitte AIS avoided overfunding by billions of rands and cut required contributions by almost half. The software enabled better risk management and investment strategies for mining clients.
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@RISK software helps the Technical University of Denmark teach graduate students about risk analysis in transportation projects. The software lets... users create probability distributions and run Monte Carlo simulations. Dr. Kim Bang Salling uses @RISK for decision support and research. The tool is easy to use for transportation planning. It supports a large research project on transport model uncertainties.
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@RISK powered Amway's Long Range Capacity Planning tool. Amway needed faster, more accurate capacity planning for its global manufacturing. The... custom solution used Monte Carlo simulation to analyze thousands of what-if scenarios. The new tool cut decision time to under 60 minutes. Amway now makes better, faster decisions for plant capacity and new product launches.
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Predict! helped ASC transform risk management across its defense operations. ASC unified risk practices for over 2,000 employees, improving engagement... and transparency. The solution created one source of truth for risk visibility and achieved 100% risk alignment across the organization. Predict! enabled proactive decision-making and embedded risk into every business process. ASC now uses real-time data to guide strategy and drive a strong risk culture.
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Alesco Risk Management Services Limited uses Palisade’s @RISK analysis software to help energy sector clients optimize risk financing and insurance strategies. The company builds... models with @RISK to forecast insurance losses and test alternative insurance structures. This approach helps clients balance premium costs with their ability and appetite to retain risk. Alesco leverages Monte Carlo simulation in Excel to deliver complex forecasting quickly. The solution supports informed decisions that meet corporate, financial, and legal requirements.
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@RISK helped BC Hydro analyze uncertainty in electricity conservation projects. The software modeled estimated savings for about 60 demand side... management projects. BC Hydro used @RISK to create probability distributions for aggregate savings forecasts. This improved energy planning and decision-making. Experts used @RISK’s visual tools to refine predictions for each project. BC Hydro is the largest electricity supplier in British Columbia, serving 1.7 million customers.
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@RISK helped Blade Energy improve drilling productivity. Blade Energy built a tool using @RISK’s Monte Carlo simulation and probability distributions.... The tool estimates productivity gains for underbalanced drilling. It uses years of data and a Bayesian algorithm. Blade Energy’s clients see better productivity and reservoir characterization. @RISK made their estimator robust and reliable.
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Deloitte uses @RISK to help insurance clients assess risk in cell captive insurance partnerships. The team runs Monte Carlo simulations... to estimate capital needed for rare, high-impact events like severe hailstorms. @RISK's Compound function lets Deloitte combine loss likelihood and severity in one calculation, saving time and simplifying models. This approach helps insurers make informed decisions and protect solvency. Deloitte values @RISK for its advanced risk modeling and Excel integration.
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