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        David Menninger's Analyst Perspectives

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        GoodData’s Embedded Analytics Democratizes Data-Driven Decisions

        The current market landscape of data and analytics is undergoing rapid evolution, presenting organizations with a wide array of challenges and opportunities. As data sources and warehouses steadily migrate to the cloud, a significant number of organizations still depend on conventional tools. This reliance on legacy systems hinders the seamless accessibility and adoption of analytics and business intelligence within business processes. Organizations are increasingly turning to embedded analytics to address this challenge, enhancing the user experience, improving efficiency and democratizing data access.

        Our Analytics and Data Benchmark Research shows that three-quarters of organizations consider embedded analytics important. Ventana_Research_BR_Analytics_and_Data_Importance_Embedded_Analytics_2023By integrating analytics directly into applications and workflows, organizations enable teams to easily access and analyze data from within their familiar work environments without switching between multiple applications.

        GoodData is a cloud-based analytics and BI platform that enables organizations to capture and load data from a variety of sources. Users can construct metrics, generate reports and create interactive dashboards. Its embedded analytics allows workers to integrate analytics into various applications and workflows.

        GoodData has offered cloud analytics and BI software for over a decade. Its platform enables users to explore, analyze and derive insights from data without relying on IT teams. Users can build data pipelines and design logical data models, facilitating the delivery of tailored and reusable analytic solutions.

        Features include:

        • GoodData Cloud, a hosted cloud application available on Amazon Web Services for building and delivering multitenant analytics on top of an organization’s existing data sources. It enables users to submit queries in Multidimensional Analytical Query Language or through custom applications. The platform utilizes metadata and a caching mechanism to optimize query performance and the volume of data transferred between data storage and the analytical engine.
        • Analytical Designer, enabling users to build visualizations and use self-service data discovery.
        • GoodData.UI, a TypeScript framework that allows users to build analytical web applications. It consists of multiple libraries ‒ from low-level REST application programming interface clients up to visualization libraries that deliver React-based components to render different types of charts and tables.
        • GoodData.CN, an analytics platform that can be deployed in a public cloud, on-premises or on a laptop. It is focused on the semantic layer and offers a multitenant environment. The platform also enables users to create interactive charts and dashboards using its drag-and-drop interface.

        GoodData enables users to query data sources directly without copying or moving data, ensuring decisions are based on real-time information. It offers services to various industries, including software companies, e-commerce/retail, financial services, insurance, industrial and healthcare. The platform connects to various data warehouses and databases, including Snowflake, Amazon Redshift, Azure SQL, Databricks, Google BigQuery, Microsoft SQL Server, PostgreSQL and Synapse.

        Our market assessment suggests that by 2026, more than two-thirds of line-of-business personnel will have immediate access to cross-functional analytics embedded in activities and processes helping to make Ventana_Research_2023_Assertion_Embedded_Cross-Functional_Analytics_17_Soperational decision-making more efficient and effective. GoodData’s analytics platform enables workers to build sophisticated data products for customers and business partners. It offers many customization options and developer tools for engineering teams to build applications on top of the GoodData platform. Developers can also automate deployment, testing and repetitive tasks with its open-source developer tools.

        GoodData recently introduced its data transformation tool ‒ Last Mile ETL, which enables users to perform data transformations within the analytics platform. It eliminates the need for context-switching between the extract, load and transform or extract, transform and load pipeline and analytics, streamlining the data transformation process. It offers built-in data visualization types and the flexibility to incorporate charts from external visualization libraries such as D3, Chart.js, FusionCharts and Google Charts.

        GoodData recently partnered with Arria to provide natural language capabilities. With this integration, GoodData can maximize Arria’s technology to provide self-service narrative insights to supplement visualizations and tables of data. To further improve and expand its products and services, GoodData should continue enhancing its data integration and artificial intelligence capabilities and complete its plans to support Google Cloud Platform and Microsoft Azure for additional deployment options. As the market for decision intelligence grows, GoodData could expand its analytical capabilities or partnerships to include driver-based planning.

        By incorporating embedded analytics into everyday work environments, GoodData allows more of the workforce to make data-driven decisions. GoodData's cloud-based approach, flexibility and focus on customization and scalability position it to support organizations in the journey to improve decision-making and operational efficiency. We recommend that organizations seeking a cloud-based analytics and BI platform with embeddable analytics capabilities consider GoodData.


        David Menninger


        David Menninger
        Executive Director, Technology Research

        David Menninger leads technology software research and advisory for Ventana Research, now part of ISG. Building on over three decades of enterprise software leadership experience, he guides the team responsible for a wide range of technology-focused data and analytics topics, including AI for IT and AI-infused software.


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