Big data analytics is about exploration and discovery to improve data-driven decision making. A large part of big data analytics is use of new techniques that look into new data, or data that has been aggregated in new ways.
Such an approach enables organizations in industries such as retail, fast moving consumer goods, banking & finance, insurance and healthcare to engineer innovative business models and gain new insights into boosting competitive advantage.
PCCW Solutions has well-established processes and procedures to help customers gain insights and derive business value with big data technologies. We start with a user requirement study to assist customers in clearly defining their needs. After analysis and evaluation, we design and recommend the most appropriate technologies to form a flexible, scalable architectural platform for big data analytics. With our ample experience and best practices, we can offer the most promising big data solution according to the preferences, industry-specific domain knowledge and budgetary parameters of the customers.
Provision of insights – consolidation of data gathered from a variety of sources. Insights from factual data are key enablers in terms of cutting costs and revenue generation
Preparation for the next step – predictive analysis facilitates the decision-making process
Solid experience – PCCW Solutions holds a wealth of experience in systems integration and project implementation, partnering with industry leaders to provide solutions which meet customers’ specific needs
Broad resources and skill-set inventory – strong technical data management know-how