Data Analytics and AI with Google Cloud
As companies work with huge datasets, managing the data lifecycle from generation to disposal is of vital importance. Digital transformation has given organizations the capability to create or extract large amounts of data; data is now one of the most valuable assets for a business. The most important part of data management is retrieving insightful information from the data at the right time and using it to make strategic decisions quickly.
Organizations need to keep their data private, accurate, secure, usable, and available. This data governance cycle requires use of certain processes and data policies. It requires companies to conform to standards set by the industry, stakeholders, and governments.
CloudLeaf uses Google Cloud’s data management tools to help organizations gain the most benefit from their data. Google Cloud’s Cloud-native and open source databases like Cloud SQL and NoSQL ensure scalable and cost-effective data management. Migrate to Google Cloud databases to lower TCO, streamline data management, speed up analytics and improve governance. Gain the benefit of AI, ML and BI capabilities embedded into these databases to gain better insights into your business processes.
CloudLeaf Google Cloud Smart Analytics Services
CloudLeaf uses GoogleCloud’s Smart Analytics platform to infuse intelligence into your data analytics and management. GoogleCloud Smart Analytics platform is an open-source, flexible and secure platform inbuilt with AI, ML and NLP capabilities. Our solutions help to design, deploy, train and manage AI- and ML-driven analytics to derive insightful information from your data. From data warehouse modernization to data lake modernization, stream analytics, BI, data science, and pre-built datasets, we use every GoogleCloud analytics solution available to design and enhance your data ecosystem.

Derive More from Your Data with Google Cloud Data Lake and Data Warehouse Solutions
Migrate your on-premise data to Google Cloud securely. Modernize your data lakes with Google Cloud’s auto-scaling services which work with your current applications, and skills.

Implement Transformation at Scale with GoogleCloud and CloudLeaf Data Analytics
CloudLeaf’s strategic partnership with GoogleCloud gives us the advantage to use Google’s industry-leading capabilities to derive smarter solutions for your business. We follow a holistic approach to data analytics and management that is built on strong competencies, conceptual intelligence, and a use-case based approach. We help enterprises build their data management systems from scratch with agile development methodologies, CI/CD and a microservices-based architecture. We work closely with your teams to understand your digital goals so that your transformation is complete, yet adaptable for the future.
1
Assessment And Planning
- Set benchmarks for analytics
- Analyse current IT maturity
- Determine strategic goals
- Plan analytics architecture in terms of ingestion, storage, processing, analytics and visualization
- Develop KPIs
2
Building And Deployment
- Migrate data to the Cloud
- Implement Cloud-native enterprise data lakes and/or data warehouses
- Deploy Google Cloud assets
- Deploy analytics on Cloud solution
- Deploy predictive and prescriptive analytics assets
3
Monitoring And Management
- Monitor for availability and scalability
- Optimize usage and cost of Cloud assets
- Continuously measure and monitor as per set KPIs
- Make continuous data-driven enhancements
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