Claim Your Market with Confidence
Leaders usually justify their flat-footedness in the face of the crisis with claims that every organization is flying behind in times of uncertainty.
But a true leader knows precisely how to chart ways and build an organization with keen situational awareness. The ability to predict where things are headed and respond quickly to a changing environment is crucial for risk reversal, and analytics is the key.
“Risk analytics solutions enable the world’s most successful companies to make risk-aware decisions through smarter enterprise risk management programs and methodologies—driving business performance and better outcomes.”
AI and machine learning solutions automate tasks by understanding patterns in data and translating them into instructions. But the models become outdated quickly when the inputs to the system change.
Advanced Risk Analytics, on the other hand, warns you when the rules are changing. Without this kind of notification, automation solutions can go off course quickly, leaving you vulnerable to external shocks.
In today’s complex business world, data-driven decisions are essential.
However, some of the most important strategic decisions made by top executives and private equity investors are based on inadequate analysis tools that often fail to uncover the most crucial insights in the data.
Considering the current global environment, investments in managing and analyzing data are crucial to improving risk management.
But, if organizations want the most bang for their buck, they need to do more than rely on data and models. They should rethink and fine-tune their strategies and change their culture and processes.
For more than 20 years, UniAspect Digital has been helping businesses upgrade their risk management strategies through cutting-edge analytics.
We help maximize risk-adjusted returns by combining our expertise in risk analytics with a deep understanding and experience of our client’s business context.
In Workday’s “Finance Redefined: Workday Global Finance Leader Survey,” results showed that only 35% of respondents are making extensive use of advanced analytics in key areas such as planning, budgeting, and forecasting.
One of the reasons is the lack of expertise to analyze the pools of data for valuable insights.
UniAspect Digital has developed a global team of consultants with deep analytical understanding and financial acumen to serve clients with advanced risk analytics.
We create sustainable models and data-driven analytical platforms to deploy and develop leading-edge solutions for Fortune 500 organizations.
Incorporating the latest innovations, resources, and tools while maintaining in-depth knowledge of regulatory requirements has enabled us to fuel the growth of our clients.
We partner with clients to provide proprietary knowledge and assets, including a digital credit assessment, qualitative credit assessment, sentiment analysis, and quantitative commodity-price scenario analysis.
Organizations are under constant pressure to deliver more value to their customers and maintain a competitive advantage which means that even these robust technical capabilities are not enough on their own.
We have made it a priority to understand your organizations and the industries in which you operate.
At UniAspect Digital, we recognize that simply solving the problem isn’t adequate, so we engage with employees at all levels to enhance their core skillsets and improve processes.
This way, our clients can align their business unit personnel, senior executives, and boards on fundamental agendas and liquidate profits.
We cover operational risks and compliance management, such as unauthorized behaviors, anti-money laundering, and know-your-customer fraud for financial and non-financial institutions.
Our team solves the most complex analytical problems across all nonfinancial risk types, including loss and scenario-based models—for setting capital requirements and stress testing.
With the continuous evolution of technology, we have developed new and effective ways of modeling credit risk for our clients.
Using sophisticated models and analytics, UniAspect Digital can help you improve your underwriting decisions and increase revenues while reducing risk costs.
We work across all asset classes, credit risk models, and the entire credit life cycle, including profit maximization, portfolio management, and loss mitigation.
We specialize in Machine Learning-based risk analytics to help our clients find patterns they otherwise would not have been able to and make more accurate predictions.
For example, we’ve used machine learning successfully in the past in cases of fraud, underwriting decisions, and optimizing collection methods.
Our stress-testing capabilities enable scenario generation, environmental parameter translation through macroeconomic quantification, and impression assessment of these scenarios on the market, client P&L, and balance sheet.
This provides insightful Risk and Opportunity analysis to move board members and business leaders into informed action.
We partner with our clients to help manage a broad range of model risk-management topics. This includes defining model governance, policies, and procedures, identifying model needs, validating models, and assisting the organization in providing the necessary support capabilities and culture.
Our deep understanding of advanced analytics allows us to validate all model class types confidently.
We assist insurance companies in using big data and advanced analytics to fix problems such as underwriting and pricing.
As a result, we help optimize new-customer acquisition and ensure that clients settle claims correctly for customers and shareholders while maximizing economic value from policies.
We assist clients by evaluating risk factors, matching assets and liabilities, and improving their asset-allocation systems.
We also help them measure investment performance and costs to get a more comprehensive view of returns.
Furthermore, we help institutional investors keep up with data-driven trends by utilizing big data and machine learning techniques.
Embedding these insights into ongoing investments and risk management processes will enable clients to develop long-term capabilities.
We include this offering in our business model because we believe that the clients require validation when it comes to creating and executing strategies to drive the digital revolution
The ultimate goal of performing a Value Chain Analysis is to drive efficiencies and to create more cost-effective solutions for each segment leading to the after-sales efforts.
If your business is facing organizational challenges, operating solely by old ways of thinking is a recipe for disaster.