We work with our clients to thrive in a digitally connected world of technology products, services and platforms which can transform customer experience. The ability to unite enormous behavioural data points into business insights through advanced data sciences, statistical modelling and machine learning is the future of data sciences and analytics.
Big data analytics strategy continue to be the top most investment priority for businesses through advanced data ecosystems, analytics automation and big data platform implementations. An operative strategy can benefit organisations to validate their internal and external performance, risk, customer acquisitions, experiences and future.
At SYNE, we help organisations in identifying and implementing the right analytics strategy, roadmap, architecture, ecosystems, and performance measures for businesses which will improve the delivery and experience of services.
We believe in integrating and synergizing human intelligence with machine intelligence, and we call it applied Collective Intelligence. The collective intelligence framework is applied at the core of business and across every function and process to address the most complex challenges for superior data science effects.
At SYNE, we use advanced predictive modelling, behavioural and cognitive analytics that uncover insights and reveals hidden value to define targeted interventions. We combine Artificial Intelligence – machine learning, deep learning, neural networks with thoughtful industry and advanced analytics expertise to help our clients embrace intelligent technologies confidently and responsibly.
Data Science Futures
Organisation will agree that big data has taken the business world by storm, but what’s next as businesses are demanding more from their data, wanting immediate insights that will help drive business decisions.
Some of the data science forecast orbits around cognitive technology, internet of things, behavioural analytics, data privacy and interconnecting the data elements using a graphical visualisation.
Cognitive Analytics – Cognitive technology will be the new buzzword. For many businesses, the link between cognitive computing and analytics will become synonymous in much the same way that businesses now see similarities between analytics and big data.
Data Privacy – Big data will face huge challenges around privacy, companies will be forced to address the ‘elephant in the room’ around their privacy controls and procedures. Gartner predicts that 50% of business ethics violations will be related to data in the future.
Internet of Things (IoT) – The Internet of Things market is expected to grow three times from the current to $561.04 billion by 2022, owing to the advent of advanced analytics and data processing techniques, which have been useful to derive results from high volumes of data collected from the machine-to-machine communication devices.
Behavioural Analytics: Behavioural analytics and personalised messaging empower brands to turn normal users to highly engaged power users. Behavioural analytics has applications beyond that of marketing and customer intelligence.
Graph Analytics: Mapping relationships among high volumes of highly connected data, graph analytics unlocks more insightful questions and produces more accurate outcomes. The potential business use cases for graph analytics include, financial crimes, customer impersonation, anti-money laundering, and supplier transaction fraud.
Customer-centric businesses build a virtuous cycle we call the customer wheel. We help companies at every stage of growth, developing custom solutions and collaborating with all levels of your business.
- We help you understand customer behaviors
- We help break down barriers to innovation
- We help resolve the pricing paradox
- We help align brand strategy with key objectives
- We help companies nurture loyal customers who are more profitable