Trust Mannai Microsoft to maximize your Data investments
Taking Data Insights to the next level
Mannai’s data insights services streamline decision making by harnessing the power of data. With advanced analytics and interpretation, Mannai provides organizations with valuable insights to make informed choices, optimize strategies, and drive success in a rapidly changing business landscape.
AI and Beyond
Mannai’s AI services offer transformative solutions for businesses. Leveraging cutting-edge AI technologies, Mannai enables automation, data-driven decision-making, enhanced efficiency, and innovation, empowering organizations to stay ahead of the curve and achieve their goals in the digital era.
Your Data Modernization partner, for continuous sustainability
Mannai’s data modernization services empower organizations by leveraging data insights. Through cutting-edge technologies and expertise, Mannai enables businesses to modernize their data infrastructure, unlock valuable insights, and drive innovation for sustainable growth and competitiveness.
Our Services Capabilities
We can help you manage your data effectively by designing and implementing efficient data ingestion, data quality, data virtualization, and metadata management.
- Azure SQL Database: A fully managed, scalable, and intelligent relational database service that allows organizations to store and manage structured data.
- Azure Cosmos DB: A globally distributed, multi-model database service that provides high throughput, low latency, and global scalability for structured and unstructured data.
- Azure Data Lake Storage: A scalable and secure cloud-based solution that enables organizations to store and analyze massive amounts of structured and unstructured data.
- Azure Synapse Analytics: An analytics service that combines data warehousing, big data processing, and data integration capabilities, enabling organizations to gain insights from structured and unstructured data.
- Azure Data Factory: A fully managed data integration service that allows organizations to orchestrate and automate the movement and transformation of data across various sources and destinations.
- Azure HDInsight: A cloud-based big data platform that provides organizations with a fully managed Apache Hadoop, Spark, and Hive cluster for processing and analyzing large datasets.
- Azure Data Catalog: A fully managed metadata management service that helps organizations discover, understand, and consume data assets across the Azure ecosystem.
- Azure Stream Analytics: A real-time analytics service that allows organizations to process and analyze streaming data from various sources in real time to gain immediate insights.
- Azure Data Explorer: A fast and highly scalable service for exploring and analyzing large volumes of structured and unstructured data using a powerful query language.
With Power BI, we can help you create interactive dashboards and reports that enable you to monitor key performance indicators and track progress toward your business goals.
These services include:
- Power BI: A comprehensive business intelligence and data visualization platform that allows users to create interactive dashboards, reports, and data visualizations. Power BI connects to various data sources and offers advanced analytics capabilities.
- Azure Data Studio: A cross-platform, data-centric development tool providing rich visualization and exploration capabilities. It allows users to interactively query, visualize, and analyze data from different sources.
- Azure Synapse Analytics Studio: A unified workspace for data exploration, visualization, and collaboration within the Azure Synapse Analytics service. It provides intuitive tools for creating interactive visualizations and building data-driven dashboards.
- Azure Monitor: A service for monitoring and visualizing the performance and health of applications and resources in Azure. It provides interactive charts, graphs, and customizable dashboards to visualize real-time and historical data.
- Azure Data Explorer: A fast and highly scalable data exploration and visualization service. It allows users to interactively query and visualize large volumes of structured and unstructured data using a powerful query language and visualization capabilities.
- Azure Machine Learning: A cloud-based service for building, deploying, and managing machine learning models. It includes visualization tools for exploring data, model performance, and predictions.
- Azure Databricks: A fast, easy, and collaborative Apache Spark-based analytics platform. It provides interactive notebooks and visualizations for data exploration, modeling, and visualization.
Microsoft AI and ML include a range of tools, such as Azure Machine Learning, Cognitive Services, and Bot Framework (ChatGPT), which can be used to develop intelligent applications for various industries.
- Azure Machine Learning: A comprehensive platform that enables organizations to build, deploy, and manage machine learning models at scale. It offers a range of tools, frameworks, and integration options to streamline the entire ML lifecycle.
- Azure Cognitive Services: Pre-built AI models that allow organizations to leverage capabilities such as vision, speech, language understanding, and decision-making in their applications. These services include image recognition, text analysis, speech-to-text, and chatbot development.
- Azure Bot Service: A platform for creating intelligent chatbots and virtual agents that can interact with users across multiple channels. It integrates with other Azure services and cognitive services to provide rich conversational experiences.
- Azure Custom Vision: A service that enables organizations to build and deploy custom image recognition models using their own labeled data. It simplifies the process of training and deploying models for specific image recognition tasks.
- Azure Cognitive Search: A fully managed search-as-a-service solution that uses AI algorithms to extract insights from unstructured data. It enables organizations to build powerful search experiences and unlock valuable information from
We have the right team to aid your data modernization and help you unlock the power of Azure cloud data services by migrating your data components from on-premises to the Cloud. provided by Azure include:
- Azure Cosmos DB: A globally distributed, multi-model database service that allows organizations to modernize their data storage and access models. It provides seamless scalability, high availability, and low latency, supporting various data models like documents, key-value, graphs, and more.
- Azure Data Factory: A cloud-based data integration service that enables organizations to modernize their data movement and orchestration workflows. It facilitates seamless and automated data movement from various sources to Azure data platforms for analysis and insights.
- Azure Data Lake Storage: A scalable and secure cloud storage service that enables organizations to modernize their data lake architecture. It provides a cost-effective solution for storing and processing large volumes of structured and unstructured data, with built-in security and data governance features.
- Azure Synapse Analytics: A powerful analytics service combining data warehousing, big data processing, and integration capabilities. It allows organizations to modernize their analytics infrastructure, combining structured and unstructured data for advanced analytics and AI-driven insights.
- Azure HDInsight: A cloud-based big data platform that helps organizations modernize their big data processing workflows. It provides managed clusters for popular big data technologies like Apache Hadoop, Spark, Hive, and more, enabling organizations to efficiently process and analyze large datasets.
- Azure Data Catalog: A fully managed metadata management service that helps organizations modernize their data discovery and governance practices. It provides a centralized catalog for discovering, understanding, and managing data assets across various data sources and platforms.
Our team can help you analyze your data and gain valuable insights into your business using Azure Synapse Analytics. We can help you identify trends, patterns, and outliers that can help you make informed business decisions.
se services include:
- Azure Synapse Analytics: A powerful analytics service that combines big data and data warehousing capabilities. It allows organizations to ingest, prepare, manage, and serve data for analytics at scale.
- Azure Machine Learning: A cloud-based service that enables organizations to build, deploy, and manage machine learning models. It provides various tools and frameworks for data preparation, model training, and deployment.
- Azure Data Explorer: A fast, highly scalable data exploration and analytics service. Using a powerful query language, it allows organizations to query and analyze large volumes of structured and unstructured data in real-time.
- Azure Databricks: An Apache Spark-based analytics platform that provides a collaborative environment for big data analytics and machine learning. It combines data engineering, data science, and collaboration capabilities.
- Azure Stream Analytics: A real-time analytics service that allows organizations to process and analyze streaming data from various sources in real-time. It provides insights and visualizations on live data streams.
- Azure Data Factory: A cloud-based data integration service that allows organizations to orchestrate and automate the movement and transformation of data across various sources and destinations. It supports data integration for analytics workflows.
- Azure Cognitive Services: A suite of AI-powered services that enable organizations to analyze text, images, and other unstructured data. It includes services for sentiment analysis, image recognition, natural language processing, and more.
Transform your business with the power of the cloud -
