Identify trends and patterns in massive datasets
Data, Analytics and AI with AWS
Your organization generates and uses immense quantities of data on a daily basis. Most of this data can be converted into insightful information for decision making. However, sieving through large sets of diverse structured, unstructured and semi-structured data can be tedious without the right tools. Generating useful insights from terabytes or petabytes of data requires specific tools, high computational power, and data storage systems.
Organizations that embed analytics into their business processes across production, sales, services, logistics, and internal operations can drive growth and profitability. They leverage Cloud-based analytics for data collection, storage, processing, visualization and analytics to derive better insights.
CloudLeaf uses AWS data analytics tools to reveal useful information from various sources like customer surveys, purchase logs, social media activity, website or application statistics and computer cookies. We build agile and integrated data supply chains with advanced analytics across heterogeneous networks. We create and execute data-driven business models developed on Amazon’s Cloud ecosystem optimized in terms of cost and scalability.
CloudLeaf Data and Analytics Services with
AWS Tools
CloudLeaf can transform your business processes with AWS AI services that combine AWS Cognitive Services, task-specific AI models and business logic. We enable you to build customized solutions in just days.
AWS has AI frameworks and tools that can be used to quick build, train and deploy your AI solutions. Based on years of research and best policies, AWS AI solutions will help developers and data scientists create customised AI and ML models to address your organization’s unique needs.
Data Lakes and Data Fabrics
Building Smart Analytics the CloudLeaf and AWS Way
Effective data management and integration solutions are a must-have in the modern world where data is growing exponentially. In order to retrieve, store, and use this data as an asset, CloudLeaf designs AI-based data management solutions to help our customers leverage the immense capabilities of Cloud-based service providers like Amazon Web Services. As an AWS partner, CloudLeaf works with AWS experts to create customised data analytics solutions for our customers based on their unique requirements. Starting from assessment of your current system and your business objectives, we undertake every aspect of creating the solution. Using the best cloud-based assets, we ensure complete compliance with GDPR, HIPAA and other local, global as well as industry-specific regulations. Join us in this revolution to make data your key competitive advantage.
1
Assessment And Planning
- Determine strategic business value
- Assess current IT maturity
- Plan a data and analytics architecture
- Develop new KPIs
- Choose the best architecture and best fit in terms of tools, technologies and Cloud vendor
2
Building And Deployment
- Define monitoring tools, configuration management and capacity planning
- Migrate on-premise data and data pipelines to the Cloud
- Deploy Cloud assets as per business requirements
- Implement data lakes and data warehouses on the Cloud
3
Monitoring And Management
- Deploy live Cloud- based analytics
- Monitor for stability in the Cloud
- Continuously manage and monitor performance with respect to pre- determined KPIs
- Continue optimization, cost monitoring, security monitoring
Ready to Transform Your Business?
Get in touch today with our experts.