Our approach to modern data warehousing and AI

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The art of the modern data analytics platform

Our approach to modern data warehousing & AI centres around 7 rules for ensuring success; from a best-in-class data warehouse platform to accessible machine learning & AI.

Activities are typically split across three main areas, described below.

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""The proof of concept was to evaluate a tech stack, but it was also important for us to gain an understanding of how we should do development work using Google’s tools. Google has a lot of great documentation, but there’s a lot to be said for that human touch and being steered. Ancoris really helped to optimise the time that we had, so we could focus on deliverables rather than the learning curve."  Read the customer story

Patrick Locke

Product owner for data and analytics, Causeway

Centralise

Data silos make it time-consuming, costly and difficult to gain actionable insights. Centralising your data is the first step to unlocking its potential.

  • Ingest - We can ingest your data, both batch and streaming, into the Google Cloud Platform, at any scale. We work with disparate data sources including iSaaS, on-prem data stores, spreadsheets, iOT devices and external APIs.
  • Store - Google BigQuery is a petabyte-scale, highly available and secure data warehouse platform. A serverless architecture separates storage and compute, scaling on-demand with your data needs and reducing cost.
  • Transform - We adopt our own Kimball inspired methodology to transform your raw data for consumption.  Logical layers enforce strong reproducibility, maintainability, data governance and data engineering best practices.

Learn and Predict

Start now. There has been no better time to unlock the potential of your data and empower decision-making across your organisation.

  • Identify. Our experienced team of data scientists, mathematicians and engineers will carefully evaluate your data and identify actionable machine learning and AI driven insights.
  • Learn. After selecting the appropriate machine learning models to employ, our team will begin an iterative phase of feature engineering, training and tuning, ensuring every model achieves optimal performance.
  • Predict. Using our proven data architecture we deploy your models, and use the unparalleled compute power of the Google Cloud Platform to generate predictions; delivering actionable insights to drive key decision-making.

Visualise

Surface insights. Trigger action. Deliver value. We can maximise the potential of your data through cutting-edge visualisations, self-serve intelligence and embedded analytics within your existing apps and services.

  • Time-to-insight. Our analytics leverage the unparalleled performance of BigQuery; from Cloud DataStudio to Looker, our dashboards focus on responsiveness, impact and reporting changes as they happen.
  • Engaging. We find the key to engaging business leaders is focus. We typically prioritise a few high-value insights for leaders to prompt action and drive value. Dashboards are customised to target specific business areas, functions and seniority-levels.
  • Embedded. Have your analytics embedded everywhere. With advanced platforms like Looker, common analytics layers can be shared across dashboards, self-serve analytics and embedded in web and mobile apps.

Latest Insights

User friendly BigQuery SQL functions

28th October 2020 / 30 min read

What is machine learning?

5th October 2020 / 3 min read

How Causeway is solving customer challenges with data analytics

10th September 2020 / 4 min read

Free resources

Please download any of our resources to help with your research and project specifications

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We apply our expertise to help you overcome your toughest data and analytics obstacles.