Data from every business silo presents only part of the story. We can help you integrate data from any system and discover connections between them.
Working together we can customise your dashboards to your specific needs. Great data integration and visualisation reveals insights exactly when you need it most.
By 2022, 60% of organisations will leverage machine learning enabled data quality technology for suggestions to reduce manual tasks for data quality management (2020 Gartner magic quadrant for data quality management).
Retaining a competitive advantage requires businesses constantly monitor, evaluate and modify services, operations and processes, which means being dependant on access to timely and accurate business data. Qubiz helps clients to modernise their data management strategy ensuring availability, accessibility, security and protection. Our engineers ensure your data is always ready to go: fit for purpose, complete, clean and easy to work with.
Using big data analytics is becoming ever more critical to business operations. Whether it’s descriptive, diagnostic analytics used within the finance sector, to predictive, prescriptive actions within healthcare, CIO’s are seeing the benefits of how real-time data transforms business.
Qubiz data modernisation process ensures that your business is working as efficiently as possible.
• Focus on data strategy and data quality
• Understand data relationships across the business
• Speed and accessibility
• Company wide integrations
• Data hygiene, eliminating human error
Data is used to make informed business decisions, optimise business operations and when used with artificial intelligence technologies can increase revenue and profits. A data management strategy is a critical component of effective businesses regulatory compliance requirements such as data privacy and protection laws such as GDPR are ever more essential within big data organisations. Developing data architecture is how we begin the management process. We create a blueprint for your databases and data platforms to be deployed. Without well-designed data architecture, data can be limited to siloed systems which will be difficult to integrate and manage and can ultimately restrict business growth.