On the way to the data-driven intelligent organization. As the enterprises faces with new competitive challanges in market, they move ahead to become more digital organizations. Focusing on the use of data analytics is unlocking new oppourtunities that your business creates value from data. It’s easy to fall behind your competitors when you can’t predict, model and respond to market trends, supply chain fluctuations, consumer behavior changes and able to manage complex risks.
At Monovi we understand your challanges and offer you our Data & Analytics Services to drive for better business outcomes with re-designing enterprise data strategy and build future-ready architecture.
Monovi's data analytics services can help your organization to facilitate growth and gaining new competitive advantages. We identify your unique requirements, business use cases and create data & analytics solutions using the power of cloud and your business priorities with the right talent and technologies to suit your needs.
Monovi identifies following steps to benefit from the power of data & analytics.
Design a world-class data strategy by refining your business processes, colecting and analyzing your enterprise data, and aligning this strategy with your data-driven enterprise objectives.
Gartner predicts that by 2022, “public cloud services will be essential for 90% of data and analytics innovation.” The latest technological developments in the cloud services provided by world-leading vendors such as Microsoft Azure and AWS, are giving businesses the opportunity to reduce the cost of their data management and analytics platforms while improving their businesses in scale, speed and efficiency.
Monovi can build for you a composable data and analytics solutions using leading cloud platform services.
Build and maintain the correct data governance will help you to control over the costs of data management and running business analytics solutions. We can provide engineering & data science support to your organization, using the power of scalable cloud solutions which covers data repositories, data lake, advanced analytical tools and best practices you need to transform your data management into a value stream.
We help you to store, convert, test, analyze and scale your data across your enterprise. We use the latest cloud data services such as Azure Synapse Analytics, AI and ML technologies to accelerate time to insight across data warehouses and big data systems. We help to improve your data usage to discover new opportunities for creating busines values and deliver advanced insights to your enterprise decision-makers.
Integrate all your data with Azure Data Factory—a fully managed, serverless data integration service. Visually integrate data sources with more than 90 built-in, maintenance-free connectors at no added cost. Easily construct ETL and ELT processes code-free in an intuitive environment or write your own code. Then deliver integrated data to Azure Synapse Analytics to unlock business insights.
Data Factory provides a data integration and transformation layer that works across your digital transformation initiatives.
Enable citizen integrators and data engineers to drive business and IT led Analytics/BI
Prepare data, construct ETL and ELT processes, and orchestrate and monitor pipelines code-free. The managed Apache Spark™ service takes care of code generation and maintenance
Transform faster with intelligent intent-driven mapping that automates copy activities
Azure Synapse Analytics is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems. It brings together the best of SQL technologies used in enterprise data warehousing, Apache Spark technologies for big data, and Azure Data Explorer for log and time series analytics.
Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data. Easily develop and run massively parallel data transformation and processing programs in U-SQL, R, Python, and .NET over petabytes of data. With no infrastructure to manage, you can process data on demand, scale instantly, and only pay per job.
We use Azure Resource Manager to create and deploy an Azure Analysis Services instance within seconds, and use backup restore to quickly move your existing models to Azure Analysis Services and take advantage of the scale, flexibility and management benefits of the cloud. Scale up, scale down, or pause the service and pay only for what you use.