Spanish Point solutions allow you to think big whilst starting small, taking steps toward becoming a connected enterprise. Focus on delivering quick time to insights for each business problem. The solution is a predictive model that can help transform an organization towards a data-driven, connected enterprise.
Today’s Enterprise Data Warehouse centric architecture is evolving to the Big Data Management System – both on-premise, on the Cloud, or in hybrid Cloud systems. This is revolutionising company’s information management architecture.
Spanish Point help deliver the vision for innovative new technologies for building your companies information architecture for today and tomorrow.
Our customers have managed to take the mystery out of big data and leverage their data resources to produce better business outcomes, including:
SMART Analytics is a predictive model that can help transform an organization towards a data-driven, connected enterprise. Move from information to insights and leverage your own data to generate business insights.
We have our own ISV solution for the music industry called the Machining Engine, running on Azure, with customers processing billions of transactions per month and solving the big data challenge music customers have analysing data from Spotify, Apple and other streaming/traditional providers.
Spanish Point’s SMART Analytics offering has been created from customer engagements as well as our own experience from Machine Engine deployments.
Our SMART Analytics is a predictive model that can help transform an organization towards a data-driven, connected enterprise. Move from information to insights and leverage your own data to generate business insights. It brings together data integration, data warehousing, and Big Data analytics into a single service offering unmatched time to insights. Organisations can run the full gamut of analytics projects and put data to work much more quickly, productively, and securely, generating insights from all data sources. And, importantly, combines capabilities spanning the needs of data engineering, machine learning, and BI without creating further data silos in processes and tools.