Datastry Labs

Many large organisations have realised the power and potential of data-driven decision making and are investing heavily, but are not reaping the benefits proportional to their data spend. Many smaller organisations believe that they are unable to leverage these practices and that these techniques are outside of their reach. The democratisation of technology has changed this, making advanced analytics accessible to businesses of all sizes. The key to realising these benefits for both large and small organisations is not just about using technology and hiring data scientists. It is the ability to apply data science to solve the right challenges. It is an art. Recognising this, Datastry Labs was formed to help organisations unlock the full value of their data and drive sustainable growth. We provide end-to-end enablement using our Data Alchemy Blueprint: 1. Data Infrastructure - Transforming records into assets: - Data pipeline development, orchestration and automation - Data warehouse and cloud infrastructure solutions - Platform migrations 2. Data Exploration : Understanding underlying dynamics, relationships and opportunities - KPI and operational metric definition - Analytics, reporting and monitoring - BI tools and dashboard solutions 3. Data Synthesis - Using Data Science and modelling to generate Insights - Predictive and advanced analytics using Machine Learning, Statistical modelling and other quantitative techniques - Financial and probabilistic modelling 4. Data Execution : Turning data insights into business strategy and solutions - Financial impact analysis and quantification - Measurement, monitoring, automation and intelligent alerts We use and support a range of open-source technologies and cloud-based pay-as-you-use SaaS and IaaS services including: - Amazon Web Services - Docker - Prefect / Airflow - dbt - Snowflake - MongoDB - JupyterLab - Streamlit - AWS QuickSight