Analytics Data Platform

Enable and drive business insights and AI innovations with Google Cloud native, cost-efficient, scalable, serverless, and secure data platform.

Familiar Challenges?

  • Data unavailable for analytics & AI due to data silos, lack of integrations, or complex data structures

  • Legacy solutions with high costs & maintenance, slow time-to-delivery, and missing features

  • Creating reports during the day disrupts operations

Our Solution and Customer Benefits

Expert consulting to plan and implement state-of-the-art platform on Google Cloud for any business needs:

  • Serve data for business insights, analytics, and AI with a data platform
  • Get the most out of the modern serverless, scalable, and secure BigQuery data platform with SQL and Notebook support
  • Leverage Codento’s experience in designing and implementing data platforms for large and medium-sized companies

Our Unique Value

  • Extensive experience and numerous references of Google Cloud’s data platform technology

  • A pre-built, opinionated, and lightweight data model, based on past customer cases

  • Specialization on Data Analytics

     

Our Analytics Data Platform References

BHG: The Nordic leader in DIY e-commerce needed a robust data platform to support future business and chose Google Cloud Platform for its functionalities and scalability, partnering with Codento. The new platform resolved financial data quality issues and improved trust in reporting. In the future it will also support business growth and diverse data use cases, including automating the collection and distribution of data across BHG’s supply chain.

Google Cloud Capabilities

  • Cloud Storage

  • Big Query

  • Dataflow

  • Looker

How to get started

  • The process: Definition; Planning; Implementation 

  • Selecting the data platform architecture and implementation model that best suits your needs

  • Codento Lightweight Data Model enables a rapid kick-off to Google Cloud Data Platform, that scales as the operations and business needs evolve: