Cloud Technologies

Flexible, Accessible & Secure

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We remain tech agnostic, but work with leading cloud providers to ensure the perfect technology is paired with the client to drive the best outcome. Some of our leading cloud providers include partners Microsoft Azure, Amazon Web Services and Google Cloud Platform, enabling our clients to stand on the shoulders of giants.

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Data integration

Combining data from multiple source systems

Data integration focuses on combining data from separate sources into one single view. The process begins with data ingestion, through to cleansing, ETL mapping and transformation. This first step of any data BI project provides the foundation for analytics tools to deliver actionable insights.

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Technologies

Azure Databricks

Azure Databricks

Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. Databricks is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts.

Azure Data Factory

Azure Data Factory

Data Factory contains a series of interconnected systems that provide a complete end-to-end platform for data engineers.

dbt

dbt

Data build tool (dbt) is a command line tool that enables data analysts and engineers to transform data in their warehouse more effectively.

Fivetran

Fivetran

Fivetran fully automated connectors sync data from cloud applications, databases, event logs and more into your data warehouse.

Google Cloud Dataflow

Google Cloud Dataflow

Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness — no more complex workarounds or compromises needed.

Stitch

Stitch

Stitch is a cloud-first powerful Extract, Transform, Load (ETL) service, which integrates your various data sources into a central data warehouse.

Data warehousing

Structured framework for accessible data

In order to begin driving insight from your data, you first need to house it somewhere. Data warehousing provides a structured framework for housing multiple disparate sources of data that then become accessible to inform analysis and decision making.

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Technologies

Snowflake

Snowflake

Snowflake is an analytic data warehouse provided as Software-as-a-Service (SaaS). The Snowflake data warehouse uses a new SQL database engine with a unique architecture designed for the cloud.

Google BigQuery

Google BigQuery

BigQuery, Google’s serverless, highly scalable enterprise data warehouse, is designed to make data analysts more productive with unmatched price-performance. Because there is no infrastructure to manage, you can focus on uncovering meaningful insights using familiar SQL without the need for a database administrator.

Amazon Redshift

Amazon Redshift

Amazon Redshift is a fully-managed petabyte-scale cloud based data warehouse product designed for large scale data set storage and analysis. It is also used to perform large scale database migrations.

Amazon Athena

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Azure Data Warehouse

Azure Data Warehouse

Azure Data Warehouse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale.

Elasticsearch

Elasticsearch

Elasticsearch is a distributed, open source search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured.

Business Intelligence

Insights to empower decision making

Giving businesses the insight when they need it, and how they need it to support decision making is the essence of business intelligence (BI). BI tools allow business users to access their insights in interactive and engaging ways to improve their decision making at every level of the business.

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Technologies

Qlik

Qlik

Qlik provides an end-to-end platform which includes data integration, user-driven business intelligence and conversational analytics. 

Power BI

Power BI

Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

ThoughtSpot

ThoughtSpot

ThoughtSpot is a next-generation search and AI driven analytics platform that empowers non-technical people to answer their own data questions through a simple Google-like search function.

Looker

Looker

Looker is a business intelligence software and big data analytics platform that helps you explore, analyze and share real-time business analytics easily.

Kibana

Kibana

Kibana lets you visualize your Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.

Tableau

Tableau

Tableau is business intelligence software that helps people see and understand their data. It helps people transform data into actionable insights.

Analysis & Machine learning

Automating Analytical Models

By automating analytical models, Machine Learning provides an AI driven way to perform particular tasks related to patterns in data without human involvement.

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Technologies

Azure Analysis Services

Azure Analysis Services

Azure Analysis Services is a fully managed platform as a service (PaaS) that provides enterprise-grade data models in the cloud.

Azure Machine Learning

Azure Machine Learning

Azure Machine Learning offers web interfaces & SDKs so you can quickly train and deploy your machine learning models and pipelines at scale.

Google BigQuery

Google BigQuery

BigQuery, Google’s serverless, highly scalable enterprise data warehouse, is designed to make data analysts more productive with unmatched price-performance. Because there is no infrastructure to manage, you can focus on uncovering meaningful insights using familiar SQL without the need for a database administrator.

Google Dataproc

Google Dataproc

Cloud Dataproc is a fast, easy-to-use, fully managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way.

Cloud platforms

Flexibility, speed, efficiency

Cloud technology platforms allow you to maintain and access your data faster, and more cost effectively by housing the hardware of an operating system via an internet-based repository.

We partner with leading cloud platforms Microsoft Azure, Amazon Web Services and Google Cloud Platform to help unearth new opportunities for businesses of all shapes and sizes.

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Technologies

AWS

AWS

Amazon Web Services is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments.

Google Cloud Platform

Google Cloud Platform

Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.

Microsoft Azure

Microsoft Azure

Microsoft Azure is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.

Get in touch with Dale Freya

Dale is a software engineer and data analyst specialising in web development and business intelligence using modern cloud technology. His experience includes building systems to scale for hundreds of millions of users. He has worked for both public and private sector organisations across industries such as health, recreation, entertainment, video games, education, and defence.

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