Organisations are increasingly under competitive pressure to not only acquire customers but also understand their customers’ needs to be able to optimise customer experience and develop longstanding relationships. By sharing their data and allowing relaxed privacy in its use, customers expect companies to know them, form relevant interactions, and provide a seamless experience across all touch points.
TECHNOLOGY FRAMEWORKS
Analytical Platform
Modern self-service analytics platforms empower the ordinary business user by bringing advanced analytics tools to their desktop. The business user today does not require the help of a technical team member to discover trends and patterns, to make accurate predictions about the future, or to drive a data-driven culture in the organization.
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Mitigating Risk & Fraud
Security and fraud analytics aims to protect all physical, financial and intellectual assets from misuse by internal and external threats. Efficient data and analytics capabilities will deliver optimum levels of fraud prevention and overall organisational security: deterrence requires mechanisms that allow companies to quickly detect potentially fraudulent activity and anticipate future activity, as well as identifying and tracking perpetrators.
Delivering Relevant Products
Products are the life-blood of any organisation and often the largest investment companies make. The product management team’s role is to recognise trends that drive strategic roadmap for innovation, new features, and services.
Effective data collation from 3rd party sources where individuals publicise their thoughts and opinions, combined with analytics will help companies stay competitive when demand changes or new technology is developed as well as facilitate anticipation of what the market demands to provide the product before it is requested.
Personalisation & Service
Companies are still struggling with structured data, and need to be extremely responsive to cope with the volatility created by customers engaging via digital technologies today. Being able to react in real time and make the customer feel personally valued is only possible through advanced analytics. Big data offers the opportunity for interactions to be based on the personality of the customer, by understanding their attitudes and considering factors such as real-time location to help deliver personalisation in a multi-channel service environment.
Optimizing & Improving the Customer Experience
Poor management of operations can and will lead to a myriad of costly issues, including a significant risk of damaging the customer experience, and ultimately brand loyalty. Applying analytics for designing, controlling the process and optimizing business operations in the production of goods or services ensures efficiency and effectiveness to fulfil customer expectations and achieve operational excellence.
Advanced analytical techniques can be deployed to improve field operations productivity and efficiency as well as optimize an organisational workforce according to business needs and customer demand. Optimum utilisation of data and analytics will also ensure that continuous improvements are instigated on an on-going basis as a result of end-to-end view and measurement of key operational metrics.
Reduce costs, improve the value of your data and boost business agility and profitability.
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Our team is equipped with the skills, knowledge and expertise to help you implement the right technology solutions, and business use cases, needed to achieve quick wins and deliver a ROI on your data assets.
