What is cloud Business Intelligence (BI) or analytics?

Judges will be looking for solutions which best simplify the end-user’s experience of complex data; case study materials will be useful but not essential.

Cloud Business Intelligence (BI) or analytics refers to the use of cloud computing technologies to deliver business intelligence and analytics capabilities. It involves leveraging cloud-based platforms and services to collect, store, process, analyze, and visualize data for making informed business decisions. Cloud BI and analytics solutions provide organizations with a scalable, flexible, and cost-effective approach to accessing and leveraging data insights.

Key characteristics and components of cloud BI or analytics include:

  • Cloud Infrastructure: Cloud BI solutions leverage the infrastructure provided by cloud service providers. This eliminates the need for organizations to invest in on-premises hardware and infrastructure, reducing costs and providing scalability as data volumes grow.
  • Data Storage and Integration: Cloud BI solutions offer cloud-based data storage options, allowing organizations to store and manage their data securely. These solutions also provide integration capabilities, enabling the seamless aggregation of data from various sources, including on-premises databases, cloud-based applications, and external data sources.
  • Data Processing and Analysis: Cloud BI solutions employ cloud-based processing and analysis capabilities to handle large volumes of data. They leverage distributed computing power and advanced algorithms to perform complex analytics tasks, such as data cleansing, data transformation, statistical analysis, and predictive modeling.
  • Self-Service Analytics: Cloud BI solutions often include self-service analytics features that empower business users to explore data, create interactive visualizations, and generate reports without relying on IT or data analysts. These intuitive interfaces make it easier for non-technical users to derive insights and make data-driven decisions.
  • Scalability and Elasticity: Cloud BI solutions provide scalability and elasticity, allowing organizations to scale their data storage and processing resources based on demand. This ensures that businesses can handle increasing data volumes and analytical workloads without disruption.
  • Collaboration and Sharing: Cloud BI solutions enable collaboration and sharing of insights across teams and departments. They provide features for sharing dashboards, reports, and interactive visualizations, facilitating collaboration and fostering a data-driven culture within organizations.
  • Security and Governance: Cloud BI solutions prioritize data security and governance. They employ robust security measures, including encryption, access controls, and user authentication, to protect sensitive data. Additionally, they often provide governance features to enforce data privacy regulations, monitor data access, and track data lineage.

By leveraging cloud BI or analytics, organizations can gain real-time insights, identify trends, detect patterns, and make data-driven decisions to drive business growth and innovation. The cloud-based nature of these solutions offers increased agility, scalability, and accessibility, enabling businesses to harness the full potential of their data for competitive advantage.

Previous recognition for Best Cloud Business Intelligence or Analytics Solution

For a broader understanding of this Cloud Awards category, we have gathered examples from previous winners, finalists, and shortlistees which impressed the judging team with their innovative cloud Business Intelligence or analytics solutions.

Winner of The Cloud Awards 2022-2023 for the Best Cloud Business Intelligence or Analytics Solution

Lead Judge Christopher Southall said:

“Domo Data Apps deliver an impressive and comprehensive solution to business that requires multi-source data drive solutions. The range of connectors and use of low-to-no code solutions in providing smart insights and analytics really impressed the judging team at The Cloud Awards. Not to mention the fantastic in-service storage offering included within the service. Domo Data Apps is a serious contender in this highly competitive field. A huge congratulations on your prestigious Cloud Award!” 

Winner of The Cloud Awards 2021-2022 for the Best Cloud Business Intelligence or Analytics Solution

Lead Judge Christopher Southall, said:

“At the Cloud Awards, we think Qlik Sense has as real USP in advanced analytics. With its PMML functionality & KNIME Analytics Platform, Qlik are delivering the best kind of advanced analytics experience, from day one. We were particularly impressed with their out-of-the-box trending and predictive analytics which are based on historical data.  

Qlik’s Visualisations are also exceptionally good, and the interactivity and overall aesthetics of Qlik Sense wowed us. 

Overall Qlik sense is a real powerhouse in the world of BI and Analytics; a powerful and complete BI & Analytics solution that every business should consider.” 

Finalist of The Cloud Awards 2022-2023 for the Best Cloud Business Intelligence or Analytics Solution

Ahana Cloud for Presto leverages the power of Presto, an open-source distributed SQL query engine designed for high-speed analytics on big data. Presto enables users to query and analyze data from various sources, including data lakes, databases, and cloud storage systems, providing fast and scalable analytics capabilities.

The solution offers seamless integration with different data sources, allowing organizations to connect and query data from various platforms and systems. It provides connectors and adapters that enable easy data ingestion, ensuring a unified and comprehensive view of the data.

Shortlistee of The Cloud Awards 2021-2022 for the Best Cloud Business Intelligence or Analytics Solution

SingleStore offers a unified data platform that combines the benefits of a relational database management system (RDBMS) and a NoSQL database. This enables users to work with structured and unstructured data seamlessly, providing flexibility in data modeling and supporting a wide range of analytical use cases.

SingleStore’s solution goes beyond traditional BI capabilities and provides advanced analytics functionalities. It supports complex analytics operations such as machine learning, predictive modeling, and geospatial analysis, enabling users to extract valuable insights and make data-driven decisions.

A strong entry for the Best Cloud Business Intelligence or Analytics Solution category should have:

  1. Data Integration and Connectivity: The solution should offer seamless integration capabilities to connect with various data sources, including on-premises databases, cloud-based applications, and external data repositories. It should provide connectors and APIs that enable easy data ingestion and extraction, ensuring a comprehensive view of business data.
  2. Scalability and Performance: The solution should demonstrate the ability to handle large volumes of data and support high-performance analytics. It should leverage the scalability of cloud infrastructure to process and analyze data efficiently, delivering insights in a timely manner even as data volumes and user demands increase.
  3. Advanced Analytics Capabilities: The solution should go beyond basic reporting and offer advanced analytics functionalities, such as predictive modeling, data mining, machine learning, and natural language processing. These capabilities enable organizations to uncover hidden patterns, identify trends, and gain valuable insights for strategic decision-making.
  4. Data Visualization and Reporting: The solution should provide intuitive and interactive data visualization tools that enable users to create visually compelling dashboards, charts, and reports. It should offer flexible customization options and support dynamic, drill-down capabilities for exploring data and presenting insights effectively.
  5. Self-Service Analytics: The solution should empower business users to access and analyze data independently, without heavy reliance on IT or data experts. It should offer user-friendly interfaces and self-service capabilities that allow users to explore data, create ad-hoc queries, and generate meaningful insights with minimal training or technical expertise.
  6. Security and Compliance: The solution should prioritize data security and compliance with industry regulations. It should incorporate robust security measures, such as data encryption, access controls, and role-based permissions, to protect sensitive information. It should also support compliance requirements, such as data governance, audit trails, and data lineage.
  7. Collaboration and Sharing: The solution should facilitate collaboration and knowledge sharing among users. It should enable users to share reports, dashboards, and insights with team members, fostering a collaborative data-driven culture within the organization. Features like annotation, commenting, and sharing capabilities enhance collaboration and decision-making processes.
  8. Cost-Effectiveness and Flexibility: The solution should offer a flexible pricing model that aligns with the organization’s needs and scales based on usage. It should provide options for adjusting resources and capacity as requirements change, allowing organizations to optimize costs while meeting analytical demands.
  9. Integration with Cloud Ecosystem: The solution should seamlessly integrate with other cloud services and platforms, enabling organizations to leverage additional functionalities, such as data storage, data warehousing, data lakes, or machine learning services. Integration with popular cloud providers and ecosystems enhances the solution’s capabilities and interoperability.
  10. Customer Support and Service: The solution provider should offer excellent customer support, including training resources, documentation, and responsive technical assistance. A strong track record of customer satisfaction and positive reviews demonstrates the provider’s commitment to customer success.

By encompassing these attributes, a cloud business intelligence or analytics solution can provide organizations with the tools and capabilities needed to extract meaningful insights from their data, empower decision-makers, and drive business growth.

Next Steps to Enter The Cloud Awards

To enter this Cloud Awards category, or any other category in The Cloud Awards, please follow these three simple steps:

  • Download the entry form. Open up the ‘Cloud Awards Simple Form’ document.
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For a detailed breakdown of all the benefits you receive as an awards entrant as either a shortlistee, finalist or ultimate winner, please see our “Why Enter?” page. The many benefits are replicated across all international awards programs. If you have any questions about this category, please contact us.