Data and AI Services - 3-Week Assessment
Turn your data into value with BI and AI on Azure. Click2Cloud provides end-to-end Data and AI services to set up a modern data platform on Microsoft Azure to generate continuous business value.
Businesses are producing and processing petabytes of data than ever. Gleaning insights from data is challenging if it's not done strategically with a partner who can simplify data-driven problem-solving and surface insights in the right way and at the right time. Having the best tools in the world will not make you feel competent if you don't have the correct procedures in place. Here's where Click2Cloud comes in. As part of the assessment, we identify inefficiencies, gaps, and risks in existing processes as well as identify AI opportunities to deliver real value and help you move from traditional reports and dashboards to self-service BI and intelligent applications utilizing Artificial Intelligence and Machine Learning.
Click2Cloud assists you in discovering the opportunities that data brings to your company through BI and AI, as well as insights into how you can use Azure Data Platform services to add intelligence to your applications and workflows. We provide a deep dive into how a Modern Data Platform on Azure should look like, what components are required, and what to pay attention to (ex., Azure Synapse, Data Lake, PowerBI, etc.).
We at Click2Cloud ensure the continuous quality and relevance of your Azure AI solution by automating model monitoring and maintenance. Data governance is an integral part of our methodology to focus on organizational and behavioural aspects.
As part of our Data and AI services, we provide data platform modernization, intelligent automation, cloud adoption framework, landing zone, and intelligent (POC) industry-specific solutions for Data and AI model deployment and maintenance on Azure.
• Discovery & Assessment of the current data platform • Data exploration and evaluation • Strong business understanding • Data and AI technology possibilities and some reference cases • How to make Data and AI services tangible in your industry • Demonstration of deep Azure knowledge and skill sets • Continuous business value and integration with Azure services • Assistance with data governance and security • Roadmap for actual implementation • POC - Solution Validation • Financial analysis • Reporting and next steps
• Assessment of data maturity • Quality advisories in areas such as data insights and data platforms • Data & AI opportunity and actual implementation roadmap • Purpose- and value-driven Azure Data and AI-powered solutions • Recommendations for building a future-proof and scalable foundation for your data using Azure infra • Efficiency, quality, and speed in the end-to-end delivery process • Costing and reporting • Clear next steps