From data, to insight, to action
In the digital age, competitive advantage is increasingly based on the ability to analyse vast quantities of data to drive fast, highly informed decisions.
Whether you want to bring the right new products and services to market faster, to boost loyalty through better understanding of customer preferences, or to plot your expansion into new markets, the critical information is waiting to be mined from operational, sales, customer and financial data.
To succeed in the new economy, you need to get all of this data working harder, but much of it remains locked away in organisational and technological silos. How can IT enable collaborative access to big data to support faster, smarter decision-making—without big upfront costs?
Rapid ROI, low risk
By choosing an approach that marries your on-premises data with cloud-based analytics services, you can start small, deliver fast, prove the value, and extend your new capabilities in whatever direction offers the best results.
Northdoor offers a proven, step-by-step approach to gaining new data-driven capabilities through a low-cost, low-risk, hybrid-cloud model that delivers value fast.
Using the DataFirst Method, Northdoor can review your current capabilities and aspirations, define actionable use-cases for analytics, create a costed roadmap with defined benefits at each stage, select the best pilot project aligned with key business objectives, and apply our know-how to cut time-to-value. The real beauty of this approach is that you can start anywhere, achieve value, and fill in the gaps later. The DataFirst Method is designed to create an agile cycle in which each success creates new opportunities and builds more value.
Northdoor’s expertise and proven methodology significantly reduce project risk and slash cycle times, enabling you to bring the benefits of faster insight to the business without the need to make permanent investments upfront.
Watch for more information on the DataFirst Method:
For general information on adopting a hybrid-cloud approach: