Welcome to our web page dedicated to the Google Cloud Platform, specifically focusing on BigQuery, Data Studio, and AI.

Google Cloud Platform (GCP) is a cloud computing service that provides a variety of tools and services for building and managing applications, websites, and other digital assets in the cloud. GCP offers a wide range of solutions for data analytics, machine learning, and artificial intelligence (AI), making it a popular choice for businesses and developers around the world.

BigQuery

BigQuery is a cloud-based data warehouse that provides a powerful and scalable solution for storing and analyzing large amounts of data. With BigQuery, users can run SQL-like queries against massive datasets in seconds, making it a popular choice for businesses that need to process large volumes of data quickly.

Some of the key features of BigQuery include:

  • High scalability: BigQuery can handle petabyte-scale data, making it suitable for organizations of all sizes.
  • Advanced analytics: BigQuery supports advanced analytics tools like machine learning and geospatial analysis, making it a powerful solution for complex data analysis.
  • Integration with other GCP tools: BigQuery can be integrated with other GCP tools like Data Studio and AI Platform, making it easier to build end-to-end data analytics pipelines.
google big query

Data Studio

Data Studio is a web-based reporting and data visualization tool that makes it easy to create interactive and shareable reports and dashboards. With Data Studio, users can connect to a wide range of data sources, including BigQuery, and create custom reports and visualizations using a drag-and-drop interface.

Some of the key features of Data Studio include:

  • Customizable dashboards: Data Studio allows users to create custom dashboards with a wide range of widgets and visualizations, making it easy to present data in a clear and compelling way.
  • Collaboration features: Data Studio allows multiple users to collaborate on reports and dashboards in real-time, making it easier to share insights with colleagues and stakeholders.
  • Integration with other GCP tools: Data Studio can be integrated with other GCP tools like BigQuery and AI Platform, making it easier to create end-to-end data analytics pipelines.
big query example

AI

GCP also offers a range of AI and machine learning tools that can help businesses and developers build intelligent applications and automate complex processes. Some of the key AI tools offered by GCP include:

  • AI Platform: AI Platform provides a range of tools and services for building, training, and deploying machine learning models at scale.
  • Cloud Vision API: Cloud Vision API provides a range of computer vision services, including image recognition, object detection, and facial recognition.
  • Cloud Natural Language API: Cloud Natural Language API provides a range of natural language processing services, including sentiment analysis, entity recognition, and syntax analysis.

Overall, Google Cloud Platform offers a powerful set of tools and services for data analytics, machine learning, and artificial intelligence. With solutions like BigQuery, Data Studio, and AI Platform, businesses and developers can easily build and manage end-to-end data analytics pipelines, automate complex processes, and create intelligent applications that can deliver real business value.

google AI

Why Work With us?

Take a look at examples of our work and learn how our clients from different industries have benefited from our data science consulting services.

360 degree customer view

Whether you're a bank that wants to bring pertinant information about customers to the surface, or drive automated customer journeys, connecting your systems is an enabler that will help you achieve your goals. Datamatic leverages our expertise to help to solve these challenges.

Streamline your Employee Onboarding

If you're in an industry with high turnover of staff and compliance - mining or hospitality, for example - the number of systems that a new employee needs to be enrolled into can be daunting. Datamagic has helped organisations automate this process with online workflow, approvals and system integration.

Bring your Data into a Single Location

In most organisations, multiple systems are a fact of life and most of the time, management needs to report on data across multiple systems in order to support decision making. Datamagic supports this by bringing data into a central location (a data warehouse), which then enables cross system reporting.

Business Analytics

Business Analytics or BI (business intelligence) has been around forever. However, the availability of affordable, highly capable BI tools that are accessible for most small to medium businesses has really transformed the industry in the past few years. Talk to Datamagic about how you can take advantage of this.

See the future with predictive analytics

Wouldn't it be great to be able to predict the future? Running a business involves so many variables at any given time, it can be difficult to sort the important data from the minutiae. Machine learning can help to provide predictive analytics with a long list of input variables and can help to provide clear answers in the chaos.

Improve your data quality

One of the big challenges that we see many businesses face is bad data across a range of areas within the business. This could be duplicate customer data, innaccurate inventory or parts data, or any number of other areas. Master data management applies business rules to this data that helps to improve the quality of that data.

  • Time Saving
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  • Eliminate errors

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Years of applied experience in data science, connecting systems and software development.

150+

Implemented projects worldwide with key clients from: USA, UK, Europe, Singapore.

10+

Qualified employees with master's degrees in: System Analytics, Computer Science.

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