What do we do

Our Digital, Data and Analytics Practice was founded to deliver on a different mindset to traditional consulting services with a focus on delivering results and effectively deliver on our Client’s business insights. Disruptive business models and technologies are changing the competitive landscape and at GIOS, we are dedicated to helping our Clients, from Start-ups to the Global Organisations, harness leading edge strategies, processes, and technologies to transform and build their business. The Cloud, Big Data, Machine Learning, and Reactive Applications are among a number of exciting areas where we can help you more effectively.
  • Domain specific modeling
  • Design, build, maintain data warehouse/marts
  • Data integration, migration
  • DW consolidation
  • Master data management
  • Data governance
  • Data quality management
  • Metadata and lineage management
  • Dashboards and visualization in Spotfire, Qlikview, other tools
  • Domain specific KPI development
  • Agile Data Integration & Analytics
  • Big Data Tools, Technologies
  • Data Science
  • Volume, velocity, variety, unstructured data analytics

So how can we help………..

Strategy & Consulting

  • Leverage our experience to bootstrap your analytics initiatives, update your roadmap or design your architecture.
  • Support in the people, process and technology of big data and machine learning projects. We can help navigate the vendor landscape and the end-to-end data analytics vision.
  • Exploring ways in which machine learning and artificial intelligence can enhance your products and services through better efficiency.

Project Management & Business Analysis

  • Best practice project management office to help you deliver your data-driven projects on budget and on time.

Machine Learning & Artificial Intelligence Layer

  • Analyse large and complex datasets to uncover hidden value, using scalable methods and industry experience.
  • From business processes to your product and service offerings our team will explore the requirements, understand where you are, what it is you are looking to achieve and what is possible with the data available, we will work in partnership to plan how we can design and implement a solution that fits your requirements.

Data Engineering

  • Build prototypes, products, production data pipelines and machine learning API’s using Cloud technology.
  • Big Data and Predictive Analytics within
  • Data Lakes (inc. data ingestion, batch processing etc.)
  • Legacy App Migrations (e.g. SQL/Mainframe to Hadoop, re-architecting web services)
  • Predictive Analytics (e.g. Data Mining and Machine Learning Models)

Data Visualization

  • Crafting stories out of your data and build stunning visuals to convey complex insights to a wide audience.
  • Dashboards and visualization in Spotfire, Qlikview, Tableau and other tools
  • Domain specific KPI development
  • Agile Data Integration & Analytics