Data Analytics as a Service
A Managed Analytics Platform from Decision Inc.
Change how you experience and transform analytics in your business
Building a Analytics Centre of Excellence, creating a Analytics programme that drives adoption and helps business to leverage data more effectively.
This can be done through a subscription based pricing model that removes the upfront costs.
Creating a new way of building, running and improving analytics in your business. Establish a CoE focus on insights not technical complexities
Reduce the cost of analytics by leveraging your own Centre of Excellence as well as funding model for your technology
Supported by Data Architects, ML an AI experts. Reducing the complexity of maintaining the skills
The experience from our 500 clients is continuously distilled into new ways to visualise, analyse and predict in your business
Our work with customers over the last 10 years has consistently helped them deliver real value to business
95%
Reduction in time taken to prepare executive market share reports for global retailer by using analytics platform
300%
Return for services client after 3.4 months of using consolidated data platform and reporting tools
70%
Increase in reporting platform performance by National Hospital Group
81%
Increase in team productivity for global bank after utilising regulatory reporting platform
Enabling your business to thrive
By applying industry and functional experience we ensure you have the latest capabilities in Visualisation, Predictive Analytics, ML and AI. No need for you to source and develop all these skills yourself.
Improved customer interaction and experience
Building a digital workplace with improved efficiency and collaboration
Optimise the operations through insights and automation
Harness the power of data by increasing analytics capability and adding AI and ML
Transform decision making, backed by real numbers
Enable innovation in how the business operates and uses technology
The Process
Data Architect designs server and model infrastructure
Data / Cloud Architect reviews environment and designs data platform, cloud strategy and governance
BI Developers refreshes existing models and updating visualisation with latest components
Data Scientists identify uses cases and build AI and predictive models
Support desk monitors data loads and models ongoing to proactively fix failures
Literacy programme implemented for Data and analytics run to increase users’ capabilities
Key Benefits
No upfront costs
Progress the use of Cloud
Visibility to data quality and process
Continuous improvement to models and data
Predefined models and data structures that is customisable
Enable AI and ML
