Skip to content
Create your Cloud strategy with our complimentary Gartner® template, 'The Gartner Cloud Strategy Cookbook'.

Google Cloud

Data Warehouse and Analytics

Google Cloud Managed Services

 

Contents

Data Warehouse and Analytics

A modern Data Platform – needs to reflect the dynamic nature of the addressable data as well as the multiple demands of the data consumer. This change is moving faster than ever and is even outpacing the on premise Big Data infrastructures built over the last 10-15 years.
A modern platform needs multiple pre-defined data sources, petabyte scaling (as standard not aspirational), outputs for every consumer type, including tight integration with Machine Learning (ML) modelling tools. On top of these, it needs to be low cost and low maintenance and seamlessly integrated between its component parts.

Get in Touch

Why DSP

DSP has 20 years’ experience in delivering data analysis projects across on premise and public cloud infrastructures and we are happy to work with Google Cloud Platform Smart Analytics Solutions as an integrated – petabyte scale, low cost data warehouse and ML platform for analytics services.

DSP has a strong pedigree in managing our customers’ data platforms on a continuous enhancement profile, leaving you to look after your business.

Packaged Services:

  • Google Analytics 360 degree review – Starter & Pro
  • Big Query PoV – Starter
  • Big Query Optimisation – Starter & Pro
  • Teradata to BigQuery ROI Assessment
  • Hadoop to GCP migration ROI Assessment

ADW Machine Learning vs Biff and Gray’s Sports Almanac

Want to discover more about our machine learning capabilities? Check out this webinar which was one of the most watched keynotes at Oracle Open World 2019.

One of our data scientists explores whether we our machine learning can outperform Back to the Future’s Biff and his Gray’s Sports Almanac!

ADW Machine Learning

 

AI & Machine Learning

Taking your analytics output to the next level with Machine Learning. You've built an analytics platform which gives actionable insights into recorded events, however, is your strategy truly optimised, can you use that history to help predict the future?

With DSP's machine learning capabilities, we offer a range of data science led services. We will take your data and apply machine learning to provide insights to support your decision making and scenario planning and ultimately enhance your business.

Machine Learning Consulting

One of our in-house machine learning specialists from our data science practice will become your dedicated aid.

Their aim will be to discover what you want to answer with your data, or give you options of what we can typically learn. Your data will be uploaded into our Cloud platform where it will then be analysed and modelled. Your dedicated data scientist will then write up a comprehensive report answering your questions with data.

You can then work with DSP to build your own machine learning solutions with deep learning algorithms.

We can tackle supervised or unsupervised learning, so whether your data is already labelled or not, DSP can support your business in making data-driven decisions, with machine learning consulting bespoke to each customer.

Do you have multiple sources of data, but at face value it isn't useable for modelling? With our data wrangling service, we can group together and cleanse various raw data sources and make them suitable for modelling.

Typically, this is one of the most technical, time consuming but also crucial elements of data science so it's important to use a specialist such as DSP to get it right.

Data Wrangling

Exploration and Data Visualisation

As part of our comprehensive service, our data scientists can support you in exploring where your data can best provide you with value depending on your specific business needs.

Using best of breed tools chosen for their alignment to your platform, such as Oracle Data Science Services, Google’s TensorFlow and Power BI, our team of data scientists specialise in providing visualisations which depict trends and data outliers in a concise and meaningful manner so you can capitalise on the wealth of your data.

These visuals can be tailored for internal or external use, to either a commercial or technical minded audience.

GDPR Compliance

We understand that a lot of businesses will have the in-house capabilities to build their own machine learning solutions, however, machine learning models must follow data traceability, retractability, and personal identifiability laws. Speak to DSP to ensure that you aren't at risk of any large fines and that your machine learning models are GDPR compliant.

DSP-white-logo-2019-250px

Contact us to discuss your project today