EvoSys’ Decision Support Systems are capable of performing, but not limited to, the following tasks:
We realise that all business activities are subject to uncertainty and decisions have to be taken in this uncertain environment. Managing uncertainty can improve the decision making process and statistics can prove to be instrumental in this process. Statistics is a tool that helps in the process of decision making in the face of uncertainty. It is a science of turning data into knowledge. Using this science we help our clients in the process of data collections, data management, data visualization, data exploration, statistical modelling, statistical data analysis, data interpretation and results presentation.
At EvoSys our goal is to extract information from your data and transform it into a more useful structure that can be incorporated into your decision support system. We have in depth technical knowledge about various facts of data analysis and different statistics processes, which sets us apart from others.
Today organisations are faced with too much of information to make an accurate decision in a timeframe that matters. This deluge of information, when processed intelligently, can help them in getting a fresh perspective by providing a deeper understanding about their business. The need to gain deeper understanding of the data collected across the organisation to improve business decision making will only increase as the volume, variety and sheer velocity of data accelerates over time.
In EvoSys help our clients to gain insight into their business and drive their planning by exploring and investigating their past business performance. Our insights have helped clients in taking better business decisions that translated into significant performance improvement. Our goal is to help clients discover patterns and trends in the existing data, and predict future scenarios based on cutting edge data mining and advance analytical capabilities. We deliver actionable strategies to our clients by combining our experience and industry knowledge. Our areas of expertise include:
Risk assessmentis the determination of the quantitative or qualitative value of risk related to a concrete situation and a recognised threat (also called hazard). Using machine learning and computational intelligence technologies, we study the situation and help our clients to understand the full implication of their risks and recommend possible ways to avoid them.
We can manage or analyse both very large and very small data sets to discover non-linear relations between different variables and associate them with events of interest in order to aid the decision maker in predicting future events, categorising data into clusters based on their characteristics, or presenting data into high-level representations. The overall goal of the data-mining process is to extract information from a data set and transform it into an understandable structure for further use. Examples of how businesses use data mining include performing market analysis to identify new product bundles, finding the root cause of manufacturing problems, preventing customer attrition and acquiring new customers, cross-selling to existing customers and profiling customers with more accuracy. Data mining can also be helpful to human resources (HR) departments in identifying the characteristics of their most successful employees. Another example of data mining, often called the market basket analysis, relates to its use in retail sales. Moreover, the process is useful for medical data applications and spatial applications.
We use machine learning and computational intelligence technologies to manage limited resources in an economic way. Our team can help clients to schedule activities and the resources required by those activities while considering the resource availability, priorities and the project’s time frame. Common examples of resources that must be managed effectively in the industry are vehicles, specialised equipment, labour and computers.
Our systems imitate the operation of a real-world process or environment of a computerised system over time and plot different possible scenarios. Common examples of a simulation’s applications are traffic simulation, crowd simulation, simulation of collateral damages under certain security conditions or extreme weather conditions, market simulation and strategic decisions.
Our team members will be actively involved in the client’s organisation and develop an understanding of its business processes. We identify bottle necks and improve business processes.
Our systems are able to forecast future data based on historical information and machine learning technology.
We can identify clients’ objectives and represent them as mathematical components. We then optimise these to maximise performance in such a way that satisfies all objectives.
We can support organisations in pricing their products more effectively. Using historical and projected pricing data to forecast price verses expected demand and consumption.
We deployan anomaly-based intrusion detection system to monitor local networks alongside a “honeynet” (i.e. fake network) trap. Our anomaly-based systems are based on machine learning technology. They monitor the usage patterns of the network, and then alert the users when unusual activities are detected. Our systems work in collaboration with a honeynet to redirect hackers’ attacks and take several countermeasures to identify the source of attacks.
Game theory is a study of strategic decision-making. More formally, it is the study of mathematical models of conflict and cooperation between intelligent, rational decision-makers. Employing the most recent research findings from the field of game theory in real-world problems, we optimise our clients’ strategies to maximise their objectives and at the same time assure an equilibrium state with their opponent when starting a negotiation process.
For this task, we analyse survey data using statistical models and pattern recognition algorithms to build deeper insight into the client’s business.
Businesses employ a variety of methods for analysing survey data. The use of any particular tool will depend on the relationships one is trying to analyse. It may be a simple cross-tabulation or a more complex statistical model. Gathering information is just one facet of any organisation’s goal-setting and action planning process. Therefore, it is always wise to develop a data analysis plan, before finalising data collection plans, to allow the sort of analysis one plans to use.
We provide powerful Survey Analytics to help you uncover significant findings within your survey data and illustrate those findings through a wide range of charts that can be easily understood and interpreted. We understand that every client has a different requirement and different objectives to fulfil that need. In the past we have worked with a range of clients from different sectors and we offer consultation services on many aspects of survey analysis Our survey data analysis techniques can help you in analysing:
Efficient project management is a key skill to assure full delivery of projects’ outputs at the expected level of quality. In this service, we manage full projects on behalf of our clients in collaboration with our team of professional, skilled, and experienced project managers and consultants. We assure delivery of the expected outputs within a pre-agreed timeframe and under a given budget. Using machine learning and computational intelligence technologies, we manage projects’ inputs-outputs efficiently and produce regular reports for the clients. We ensure project delivery at the expected quality and provide advice of the recommended course of actions to improve the productivity of the working team. In addition, we provide training for the staff to utilise the project’s outputs.
Our team members work closely with clients’ organisations to develop an understanding of their business processes. We then identity staffs’ strengths and weaknesses and develop customised training programs to improve upon weaknesses and reinforce the strengths. Our courses are taught by academics and industry experts. Our flexible-format short programs, lasting between one and eight days, yield knowledge and skills for immediate application and maximum impact.