We provide the insights for data driven risk decisions.
Risk analytics is a form of business intelligence that serves as a component in a risk management environment. By evaluating potential scenarios to better predict risk-laden events, we minimise the need for reliance on human intuition. This allows enterprise-wide assessment of risk exposure, to enable precision in your management’s decision making.
We help organisations in the knowledge of risk within various business functions, by leveraging risk analytics. We facilitate organisations to accurately define, recognise and manage their risks, with the integration of risk modelling techniques into analytics. We remove the fear from risk management with analytics.
The risk analytics market is segmented by solutions, services, applications and industry verticals.
Why Risk Analytics?
Not many senior leaders understand why data analytics is important in risk management control and strategy. Some leaders haven’t yet grasped that the right data can improve a company in the best way possible, while the wrong data can send everything into spirals and chaos. In today’s global platform, where everything relies so much on data, it is crucial that data analytic and risk management are put forward - and managed efficiently.
The correct data can greatly assist you to make the best decisions with the information available. That can lead you to create smarter and more creative ways in mitigation strategies, as well as better business strategies, without you having to worry about risks, as everything has been minimised and planned out carefully.
An organisation should focus on their data if they wish to develop, flourish, and succeed. They should collect, store, manage, and analyse the data in the most efficient ways, to assist the business to run effectively. Professional analysts should also be included in the process. Not only will they be helpful for the company, but they will also provide solid risk management systems that is safe and reliable.
The Value Propositions
Game changer for predictions.
Machine learning technology is a game-changer in digital risk analytics, primarily due to its ability to reduce the margins of error in predicting risk likelihoods and severities. Analysts should not necessarily set exclusively structured data against fixed rules, as this is a form of catchall measure that can sometimes deliver inaccurate conclusions.
Configurable cognitive solution.
When a cognitive solution, powered by the latest in artificial intelligence, creates a risk alert, human verification requirements still exist. However, as risk specialists increasingly weed out false positives and update the algorithms, the application learns from the inputs and becomes more accurate in evaluating future risks.
Processing of unstructured data.
Additional accuracy comes with AI technology's ability to process unstructured data using natural language processing, text analysis, and image recognition. That makes the need for rule-based analysis far less prominent, and enables near real-time risk identification and ultimately, faster responses.
Establishing prescriptive analysis.
Risk analytics applications are beginning to cross the boundaries of prediction into more actionable realms of prescriptive analysis. The most sophisticated solutions help risk managers to identify the best course of action to prevent, circumvent, or at least mitigate potential harm arising from disruptive events.
Emergence of real time and on-demand risk analytics is fuelling the risk analytics market growth.
How We Do It
Following a data-driven approach is the best way of running a successful business. Data collection and analysis applies to many different areas - from understanding customer trends to reducing operational costs. But data also applies to risk management. By using analytics to assess business risk, we can develop more secure systems that protect against threats.
Risk assessment is a critical part of implementing a data driven risk management plan. However, many companies assess risk by merely referring to previous experiences or industry trends. This approach is less specific and may result in higher costs, non-compliance with established regulations, and vulnerability to potential threats.
By following a data-driven approach, we will help your business protect data and assess the effectiveness of current controls. Risk assessment via data analytics will also result in the implementation of better risk management strategies.
We are a specialised risk management consultancy implementing the latest technologies and best practices for businesses to manage their risks, build their business resilience and accelerate their growth.
The Vision of Eagle Edge is to be the catalyst for risk transformation, resilience creation and growth acceleration of our client's enterprise value. We turn risks into opportunities.
Risk Analytics assists in proactively eliminating certain risks basis assessments of past historic data trends.
Quantification of risks.
With accurate data points your organisation can quantify the risk impact with high accuracy.
Helps uncover business sensitive data.
Risk Analytics provides an end-to-end view of business metadata associated with crown jewel data that helps Identify high-value, business-sensitive information assets that are at risk from internal and external threats.
Proactive analysis of potential risks.
Risk Analytics provides early visibility into potential risks that may affect sensitive business information assets, data, and processes.
Helps to visualise data exposure.
Convey meaning and value to executives with a business-consumable data risk control centre. Enable conversations with IT, security, and the line of business to improve processes and mitigate risks.