Our data analytics solutions provide you with enhanced insights into business performance across your organisation, enabling you to respond more effectively to the dynamics of your business environment.
We develop analytics applications, carry out data modelling and data warehouse design, and build reports and interactive dashboards to enhance enterprise-wide visibility. We will work with you to resolve big data challenges and apply advanced analytics to do forecasting, text analytics, process optimisation and complex event processing.
We also bring together cross-disciplinary expertise and apply data mining and machine learning techniques to deliver artificial intelligence (AI) solutions that can pave the way for greater automation and process transformation.
NCS delivers data analytics solutions that provide enterprise-wide visibility of business performance and actionable insights. These solutions include Data Management, Data Visualization & Data Discovery, Big Data, and Advanced Analytics.
We have successfully deployed more than 75 Business Analytics ( BI/ Data warehousing) projects, covering Data Science / Advanced Analytics and Big Data platform implementations.
Our team of more than 60 BI consultants have expertise in business analytics applications, data modelling, data warehouse design, analytics implementation, reporting, and dashboarding.
We also offer support for BI products and tools from other technology providers.
NCS has more than 30 data scientists, trained to utilise advanced analytics tools from IBM, SAS, Microsoft and Pivotal.
Business Intelligence (BI) & Business Analytics
Advanced Data Analytics
Getting deep insights
Leveraging technology in Robotic Process Automation (RPA), NCS helped MSIG to improve customer experience with faster, more accurate workflow processes.
Adopting an AI and data-driven approach to effectively minimise credit default risks and reduce the number of instances of credit default.
Named askPRU, the cognitive-powered chatbot is trained by NCS’ data scientists to understand non-scripted questions and deliver responses in a way that simulates human conversations.
A practical guide to creating a truly data-driven organization. From Proof-of-concept to Production in five key steps.
An organisation cannot call itself data-driven if only a few members are data literate; data democratisation can help put data in the hands of people on the ground.
By sieving through large amounts of data and identifying actionable insights, AI will be a crucial ally in helping us navigate the Internet of Things era.