Forging the digital economic era
Business is harnessing the power of IoT to remain competitive through improved business models, services, and enhanced customer experiences. Powered by increasing volumes of data, IOT provides a window into the world of M2M communication and helps companies predict business and market trends and needs.
End-to-end IoT solutions
Value drivers
Data services
Data services provides the process of discovering and communicating data and meaningful patterns in data, using a variety of software applications and processes to analyse an organisation's raw data. As a discipline, analytics is made up of several related activities, including data quality, data mining, online analytical processing, querying and reporting, which support and inform better decisions.
- Strategy and roadmap
- IoT consulting services
- IoT engineering
- IoT data services
- Systems integration
- Networks
- Security
- Analysis and artificial intelligence
Value drivers
- Improved risk management: Enhancing the ability to proactively identify and mitigate financial, safety, environmental and regulatory compliance risk
- Optimised operational performance: Combining real-time data from assets, enterprise systems and people to increase equipment, plants and logistics efficiency
- Reduced costs: Optimising product development, manufacturing and service processes
- Enhanced user experience: Making products smarter, easier to update and more personalised
- Product and service differentiation: Quickly delivering compelling, differentiated products and services that meet or anticipate customer demands
- New revenue streams: Maximising revenue opportunities and value capture from new services or new business models.
- Mined information: Deciding what information should be gathered and determining what to do with the information once its available
Data services
Data services provides the process of discovering and communicating data and meaningful patterns in data, using a variety of software applications and processes to analyse an organisation's raw data. As a discipline, analytics is made up of several related activities, including data quality, data mining, online analytical processing, querying and reporting, which support and inform better decisions.
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