CloudCloud takes a central role in enabling digital transformation of companies of all sizes. It is revolutionizing how businesses create value by providing agility, capabilities, cost effectiveness and innovation to develop and launch new products and services in an increasingly competitive landscape.
Being smart about the use of cloud platforms and services can make the difference between gaining a competitive advantage and falling behind rivals. To be able to take full advantage of what the cloud can offer, organizations need careful evaluation of different options and parameters to decide on most optimal strategy to deliver on organization’s vision.
- Cloud Migration
Migrating applications and data to public-cloud platforms can be tricky given large variety of available options (cloud vendors, services, consumption models) making it difficult to evaluate and decide between alternatives. Our cloud migration strategy team can help you capture the value of cloud by helping you with best practices and recommendations to create optimal migration strategy and roadmap de-risking your organization’s move into cloud.
Designing and implementing cloud-native architectures is a complex task requiring a careful balance between buy vs. build decisions and how to effectively address vendor lock-in concerns to get most value from cloud provider solutions and services.
Our team has deep expertise in designing cloud solutions in all three prominent cloud vendor providers (AWS, GCP and Azure) to help you rationalize your investments and secure future proof architectural decisions.
Data integration is the process of combining data from different sources into a single unified view enabling efficient analysis. Our resources have deep expertise in designing and implementing robust ETL and ELT processes ensuring most optimal selection of cloud components to deliver robust, scalable, efficient, and cost-effective data pipelines.
Data Governance is about defining policies, setting accountability framework, integrating tools and technology to ensure data is managed properly to create useful insights and analytics. Our team has broad experience of supporting clients in defining and implementing principles, guidelines, standards, procedures and metrics ensuring effectiveness of data and analytics initiatives.
Data Quality is a measure of condition of data usually in terms of correctness, completeness, consistency, reliability, and timeliness. We have long experience in setting up robust data quality practices across critical data pipelines ensuring high quality data for effective business intelligence and decision making.
Securing data in cloud environments is a key priority and risk for all organizations. Our team can support in defining and implementing data security best practices to protect your organizations data assets.