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Construction Case Studies and Success Stories with XLSTAT
CASE STUDY Patrick Engineering
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 mee...t 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.
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 Fle...et 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.
CASE STUDY Babcock Infrastructure Network Engineering
Babcock Infrastructure Network Engineering managed many large projects using an Excel-based risk system. This old system made it hard to control costs and improve profits. They chose Predict! risk ma...nagement software to better manage project risks. The company started with one business unit and then expanded. After using Predict!, their gross margins increased by about 2%. The new system also helped save up to £15K on a £1M project.
OHLA is a global infrastructure group based in Madrid. They needed to improve risk management to support their 2020 Strategic Plan. OHLA chose Predict! to help their new risk management department. T...he platform helped them analyze and manage risks across many projects. It made risk reporting and decision-making easier. Now, OHLA can focus on strategic activities and improve risk management in all projects.
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 ev...ent. 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.
Hatch is a global engineering and project management company. They needed a tool to manage risk on capital projects and report risks across business units and regions. They chose Predict! because it ...is flexible and easy to use. Predict! helps them support their Digital Project Delivery service. The tool allows them to configure risk registers and scoring for different clients. Hatch manages over $35 billion in projects worldwide with this solution.
Femern A/S needed to manage risks for building an 11-mile link between Denmark and Germany. They used Predict! software to assess risks and estimate the construction reserve. Before this, they used M...icrosoft Excel for risk management. Predict! offered better functionality and was easy to use. The software helped them simulate risks for both tunnel and bridge options. Femern A/S plans to use Predict! for all risk management in the project.
@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 analy...zes 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.
Lendlease needed to manage risk for a large residential development project in Stratford City. They wanted a system to help deliver the project on time and within budget. Lendlease chose Predict! aft...er a detailed selection process. The solution included risk management software and training workshops. Predict! helped Lendlease meet regulatory requirements and gave stakeholders confidence in the project. The software made it easier to identify and manage risks across the organization.
Financial Services Case Studies and Success Stories with XLSTAT
CASE STUDY Pellegrino & Associates, LLC
@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 u...sed 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.
@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.
Entertainment Case Studies and Success Stories with XLSTAT
CASE STUDY Universal Music, Warner Music, and SonyBMG
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 learnin...g. 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.
Research Case Studies and Success Stories with XLSTAT
CASE STUDY Westat
Westat worked on a research study for the USDA to understand how schools collect data for child nutrition programs. The team had to code 154 interviews in six weeks. Lindsay Giesen set up a structure...d management system for the coding team. Each coder was assigned to a state and paired with a senior reviewer. The team used constant communication and detailed training to improve their work. This approach helped them finish coding on time and improved the quality of their analysis.
CASE STUDY University of Bristol’s Environmental Risk Research Centre (BRISK)
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 eruptio...ns. 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.
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.
Hospital & Health Care Case Studies and Success Stories with XLSTAT
CASE STUDY Alberta Health Services (AHS)
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 prima...ry 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.
CASE STUDY Clinical and Translational Science Center, University of New Mexico Health Sciences Center
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 5...00 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.
CASE STUDY University of Texas Southwestern Medical Center
@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.
Design Case Studies and Success Stories with XLSTAT
CASE STUDY Humanity Innovation Labs
Humanity Innovation Labs wanted to improve how they design products. They saw a gap between research and design. They started using both qualitative and statistical research methods. They used NVivo ...to help analyze their data. This helped them make better and faster design decisions. They now use research to guide their product development process.
Transportation/Trucking/Railroad Case Studies and Success Stories with XLSTAT
CASE STUDY CONTI-Group
@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 q...uickly 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.
Health, Wellness and Fitness Case Studies and Success Stories with XLSTAT
CASE STUDY The Strategy Unit at NHS Midlands and Lancashire Commissioning Support Unit
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.
Professional Training & Coaching Case Studies and Success Stories with XLSTAT
CASE STUDY EdyTraining
EdyTraining helps manufacturers use @RISK and XLSTAT to run Monte Carlo simulations in Excel. These simulations help answer questions about renewable energy projects. They look at risks like project ...delays, costs, and equipment performance. The solution helps companies make better decisions about using renewable energy. Manuel Carmona from EdyTraining shares how this approach improves risk analysis for manufacturers.
Management Consulting Case Studies and Success Stories with XLSTAT
CASE STUDY Revay and Associates
@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 stakehold...ers. 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.
Education Case Studies and Success Stories with XLSTAT
CASE STUDY Illinois State University
@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 si...mulation 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.
@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.
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. A...fter 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.
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. Experienti...al 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.
CASE STUDY Kansas State University College of Veterinary Medicine
@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 s...trategies. 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.
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.
CASE STUDY Bruce Tsuji, Carleton University’s Department of Psychology
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 expla...ining 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.
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. Wit...h 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.
Government Administration Case Studies and Success Stories with XLSTAT
CASE STUDY Louisiana Department of Health
@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.
CASE STUDY Western Australia Department of Agriculture
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.
CASE STUDY United States Agency of International Development (USAID)
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 ove...r 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.
CASE STUDY Tornado Integrated Project Team (Tornado IPT)
Tornado IPT is part of the UK Ministry of Defense. They needed to improve how they managed risk across their projects. They chose Predict! Risk Controller and Risk Analyser to help with this. The too...ls made it easier to track and manage risks. Now, risk management is more organized and decisions are based on clear risk data. The team can share risk information with partners and use custom reports to support their work.
CASE STUDY Chinook – Future Heavy Lift (CH-FHL) Team, UK Ministry of Defense
The Chinook – Future Heavy Lift Team at the UK Ministry of Defense needed a cost-effective way to bring Chinook helicopters into service. They faced strict risk management goals and a tight schedule.... The team used Predict! software and received training and coaching from the provider. This helped them set up strong risk processes and work better with their US contractor. They achieved level 4 risk maturity at the first attempt and improved confidence in managing project risks and schedules.
CASE STUDY HUMS Project Team (UK Ministry of Defence)
The HUMS Project Team needed to improve risk management after moving locations and losing key staff. They faced problems with multiple risk registers and no dedicated risk manager. The team worked wi...th Lumivero to review and improve their risk management process. They used Predict! risk management software and received training and workshops. As a result, the team reached level 3 risk maturity, improved cost management, and gave stakeholders better visibility of risks.
Manufacturing Case Studies and Success Stories with XLSTAT
CASE STUDY Hitachi Solutions East Japan Ltd.
@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.
Pharmaceuticals Case Studies and Success Stories with XLSTAT
CASE STUDY Roche Pharma Germany
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 citati...on 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.
CASE STUDY Project & Portfolio Value Creation (PPVC)
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 to...ol 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.
Other Industry Case Studies and Success Stories with XLSTAT
CASE STUDY Corio
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 proj...ects. 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.
CASE STUDY Cambridge University's Judge Business School
@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.
@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 tre...es. 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.
CASE STUDY Program X (unnamed university social work program)
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 place...ments, 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.
BAE Systems works with 25,000 suppliers and spends over £10 billion a year. They needed to manage many types of risks in their supply chain. They wanted a better way to share and track risks with the...ir partners. BAE Systems used the Predict! suite of risk management tools. This helped them have a common way to record, share, and manage risks. The new process led to faster decisions, fewer surprises, and better use of resources.
CASE STUDY Central Michigan University’s Counselor Education Program
Central Michigan University’s Counselor Education program needed easier software to reduce manual work and help their growing student numbers. They chose Tevera for its user-friendly design and stron...g customer support. After switching, tasks that took three hours now take less than an hour. The software made it easier to run reports, manage data, and communicate with students. Students also like the simple time tracking feature they can use on their phones.
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.
@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.
@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 m...odel 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.
@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.
DecisionTools Suite helped Eastern Electric Utility improve electricity sales forecasting. The company faced challenges with traditional load forecasting due to new technology, changing energy prefer...ences, 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.
CASE STUDY California Polytechnic State University
@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.
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. St...udents 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.
@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 to...ol 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.
CASE STUDY Charles H. Dyson School of Applied Economics and Management at Cornell University
@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, d...erivatives 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.
CASE STUDY Program X (unnamed university social work program)
A university social work program used paper and faxes to manage student field experiences. This made work slow and hard for students and staff. They wanted a digital tool to make things easier and he...lp students learn more. They chose Tevera because it was easy to use and could be changed to fit their needs. Tevera saved time for staff and gave students more choices for field placements. The program now runs better and is ready for the future.
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.
@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.
CASE STUDY The Chicago School of Professional Psychology
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 fr...om 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.
ASC is a large Australian submarine and shipbuilding company. They wanted to improve how they manage risk and engage employees in risk management. ASC worked with Lumivero to develop and implement a ...new risk management system. They used the Predict! platform to make risk management easier and more engaging for staff. This helped ASC build a stronger risk culture and support better decision making across the company.
@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.
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. Th...is 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.
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 a...pply 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.
LLW Repository Ltd needed a better way to manage risk. They wanted to move away from spreadsheets and use a tool that could handle all their risk data. They chose Predict! to help them embed risk man...agement in their business. The new system allowed more people to access and use risk data. This led to more engagement and better reporting. Now, risk management is a key part of their daily work.
Lumivero.com highlights NVivo 15's capabilities in qualitative data analysis using AI, offering solutions across various industries and services, including data management, risk management, and stati...stical analysis.
