Harness the power of a data cloud and start planning for change now
Companies often struggle to remove the barriers that sit between them and their data, with 68% of organisations reporting that the are still unable to realise tangible and measurable value from data.
Google brings data and software together for businesses of all sizes looking to build a data cloud. Google offers the industry’s only unified data platform to take your company beyond anything you can imagine today.
Leading Google Cloud products achieve lower TCO and improved productivity
BigQuery
BigQuery is a serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility.
Cloud Spanner
Fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability.
Looker
An enterprise platform for business intelligence, data applications, and embedded analytics.
Vertex AI
Build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified AI platform.
Why Google for your data cloud?
Explore key resources
Why an intelligent data cloud is key to digital transformation
When enterprises fail to find ways to integrate, manage and use their data, they leave a lot of value on t. e table. This data value gap continues to widen as the amount of data increases.
Organisations must take steps now to close the gap and support value generation if they want to be able to adapt to the inevitable future disruption that is going to define their business.
In this whitepaper Google explores:
- Why businesses need an intelligent data clout to run day-to-day operations
- Why data transformation is the key to unlocking more business value
- How Google can help
Google’s guide to building a data-driven culture
Does the key to business transformation start with your organisation’s data culture? Read this guide from Google to learn how to foster a culture that improves agility, intelligence, insights, and trust.
- How embedding AI/ML in the context of business unlocks value from data
- How data governance and accessibility support data-driven decision making
- How technology lets you focus on the analysis and use of data, not data tool management
- How to make it easy for users to trust that data is up to date and accurate
