GoodData - Detailed Review
Data Tools
GoodData - Product Overview
Primary Function
GoodData is designed to capture and load data from various and diverse data sources. It enables users to build metrics, create reports, and design dashboards, making it a comprehensive tool for data analytics. The platform allows businesses to derive insights from their data, automate routine tasks, and make more informed decisions.Target Audience
GoodData serves a wide range of businesses, particularly those in the Computer Software, Information Technology and Services, Internet, and Marketing and Advertising industries. The platform is used by companies of all sizes, from small businesses with fewer than 50 employees to large enterprises with over 1,000 employees. Geographically, its users are predominantly based in the United States, followed by Brazil and the United Kingdom.Key Features
Data Modeling
GoodData uses a logical data model (LDM) to describe the relationships between data objects. The LDM Modeler is a key tool for creating, testing, and deploying these models, which act as a layer of abstraction between the user-defined data architecture and the physical data storage. This allows for efficient data loading and querying without requiring users to interact directly with the physical data model.AI-Driven Analytics
The platform incorporates AI features such as Smart Search and an AI Assistant. Smart Search enables users to interact with data using natural language queries, generating relevant visualizations and insights. The AI Assistant acts as an interactive chatbot, refining results through dialogue and democratizing analytics for non-technical users.User-Centric Design
GoodData is designed to be accessible to both technical users and business stakeholders. The platform focuses on user-centric design, ensuring that tools like Smart Search and the AI Assistant empower all users to query data and make data-driven decisions without specialized expertise.Scalability and Integration
The platform offers a composable architecture, allowing businesses to integrate AI features into custom applications via SDKs and APIs. This flexibility ensures the platform scales with the organization’s growth and integrates seamlessly with other enterprise systems.Security and Transparency
Security is a top priority, with robust privacy protocols and full transparency and auditability of all AI models. This ensures compliance with regulatory requirements and builds trust with stakeholders.Presentation Layer
The GoodData Portal serves as the presentation layer, providing an intuitive web interface for building and reviewing metrics, dashboards, and insights. Users can access this portal from any modern web browser with JavaScript enabled. Overall, GoodData is a versatile and scalable analytics platform that leverages AI to provide actionable insights, simplify complex analytics, and support informed decision-making across various business sectors. GoodData - User Interface and Experience
User Interface
The user interface of GoodData is crafted to be intuitive, accessible, and user-friendly, making it an excellent choice for both technical and non-technical users.
The GoodData Portal, the primary interface, is a secure web interface that can be accessed through any modern web browser with JavaScript enabled. This portal is built using JavaScript, AJAX, and HTML, ensuring it is a pure JavaScript client that interacts with the GoodData platform via REST API calls and periodic asynchronous polling.
Ease of Use
The interface is designed to be easy to use, with a clear and intuitive layout. Users can create insights and various types of charts in the Analyze tab, which is part of the Analytical Designer. These insights are defined sets of facts, attributes, metrics, and filters that visualize data in tables and charts. The Data Catalog provides detailed information about each item, accessible by hovering over the question mark next to the item name.
Dashboards and Key Performance Indicators (KPIs)
Users can add insights to Dashboards to display multiple insights simultaneously. Dashboards also support the display of KPIs, making it easy to track performance and identify areas for improvement. This feature is particularly useful for teams that need to monitor key metrics in real-time.
Data and Management
The Data section allows users to access tools for data loading, scheduling, data modeling, and data source management. The Manage tab enables users to manage, create, and edit metrics, as well as access tools for workspace and user management.
AI-Driven Features
GoodData incorporates AI features that simplify complex analytics. The Smart Search allows users to interact with data using natural language queries, eliminating the need for specialized technical knowledge. For example, a user can ask, “What were the revenue trends last year?” and the platform will automatically generate relevant visualizations. The AI Assistant acts as an interactive chatbot, generating ad-hoc visualizations and refining results through dialogue, further democratizing analytics for non-technical users.
User-Centric Design
The platform is designed with a strong focus on accessibility. Tools like Smart Search and the AI Assistant empower non-technical users to query data, extract insights, and make data-driven decisions without requiring specialized expertise. This democratization of analytics accelerates decision-making and broadens data access across the organization.
Overall User Experience
Reviewers have consistently praised GoodData for its excellent user interface, noting the intuitive controls that make navigation easy. The platform handles large amounts of data without compromising on security and provides useful, actionable reports. The dashboards are easy to use, allowing teams to track performance and identify areas for improvement. However, some users have noted that certain features may require more training, and real-time data refresh rates could be faster for time-sensitive insights.
In summary, GoodData’s user interface is intuitive, accessible, and designed to support both technical and non-technical users. It offers a seamless and user-friendly experience, making it easier for teams to create insights, manage data, and make informed decisions.
GoodData - Key Features and Functionality
GoodData Overview
GoodData, a multi-tenant analytics platform, offers a range of features and functionalities that are enhanced by AI, making it a powerful tool for data analysis and decision-making. Here are the main features and how they work:Workspaces and Data Organization
GoodData allows users to create and manage multiple workspaces, each of which is an independent environment for organizing, analyzing, and presenting data. These workspaces are completely isolated from one another, ensuring data privacy and security for different users or customers.Logical Data Model (LDM)
Each workspace contains a Logical Data Model (LDM) that defines the data available for analysis and the relationships between different data entities. The LDM follows Star or Snowflake schema dimensional data modeling practices and acts as an abstraction layer, allowing changes in the source data models without impacting the content in the workspaces. This model is crucial for building metrics, visualizations, and dashboards.Metrics and Visualizations
Metrics in GoodData are reusable calculations built on top of the LDM, encapsulating business logic and used in various visualizations. These metrics are created using GoodData’s Multi-dimensional Analytics Query Language (MAQL) and can be reused across different insights, ensuring consistency and data governance. The platform automatically generates SQL queries based on the metrics and the context defined in the LDM.Analytics Engine
The GoodData analytics engine translates metrics and queries into optimized SQL, queries the database directly, and caches the results to improve performance and reduce data warehouse costs. This engine can be accessed through APIs or the web interface, enabling seamless integration with other systems.AI-Driven Features
Natural Language Interfaces
GoodData’s Smart Search and AI Assistant allow users to interact with data using natural language queries. Users can ask questions like “What were the revenue trends last year?” and the platform will generate relevant visualizations and allow for further refinements. This feature democratizes analytics, enabling non-technical users to make informed decisions without relying on data experts.FlexConnect for Data Integration
FlexConnect integrates business intelligence (BI) with machine learning (ML) by allowing connections to any data source, including APIs and ML models. This feature enables real-time decision-making by integrating predictive insights directly into analytics workflows and allows custom computations using languages like Python or Rust.AI-Driven Trend Analysis and Insight Explanation
Scheduled for rollout in 2025, GoodData will introduce AI-driven trend analysis and anomaly detection. These tools will automatically explain unusual data patterns and highlight key trends, helping businesses make better decisions. The AI Assistant will also automate dashboard creation and improve data visualization workflows.Data Integration and Modeling
GoodData allows users to connect to various data sources, including databases, APIs, and machine learning models. The platform creates a direct, real-time connection to the data and generates a suitable Logical Data Model based on the physical data model. It also supports SQL datasets for creating derived tables and columns without altering the data source.Performance and Scalability
The platform uses smart caching to reduce the query load on the source data warehouse, increasing performance and lowering costs. Automation of provisioning and change management helps scale data solutions efficiently.User-Centric Design
GoodData is designed for both technical and non-technical users, with a focus on accessibility. Features like Smart Search and the AI Assistant empower users to query data, extract insights, and make data-driven decisions without specialized expertise. The drag-and-drop dashboard builder and intuitive web interface make creating dashboards and adding metrics straightforward.Security and Transparency
Security is a top priority, with robust privacy protocols and full transparency and auditability of all AI models. This ensures compliance with regulatory requirements and builds trust with stakeholders.Conclusion
In summary, GoodData’s AI-driven features simplify complex analytics, integrate seamlessly into existing workflows, and provide actionable insights without constant manual intervention. The platform’s modular architecture, scalable design, and user-centric approach make it a versatile and powerful tool for data analysis and decision-making. GoodData - Performance and Accuracy
Performance
GoodData’s performance is heavily influenced by its data pipeline and the design of the logical data model. Here are some points to consider:Data Pipeline
The platform integrates machine learning (ML) models into its data pipeline, allowing for the enrichment of data with predicted values. This integration is managed through ML bricks available in the GoodData Appstore, which helps in operationalizing machine learning and predictive analytics without significant infrastructure changes.Throughput and Execution Time
The ML Reporting dashboards monitor key performance indicators (KPIs) such as the number of predictions, decisions made, and hours of ML execution time. These metrics help in assessing the throughput and performance of the ML system.Optimizing Data Models
The performance of reports and dashboards depends on the design of the logical data model and metric complexity. Following best practices in data modeling can help avoid performance degradation and ensure better rendering times for reports and dashboards.Accuracy
The accuracy of GoodData’s AI-driven features is tied to several factors:ML Model Validation
GoodData includes ML model validation processes to evaluate the accuracy performance of specific models. This ensures that the models are reliable and effective in making predictions.Data Quality
The accuracy of ML models is highly dependent on the quality of the training data. Poor data quality can lead to biased or erroneous outputs, even with large datasets. Ensuring the reliability and validity of the data is crucial for accurate predictions.Algorithm Selection
Different algorithms have different strengths and weaknesses. The choice of algorithm can significantly impact the accuracy of the model in capturing real-world phenomena. GoodData uses a variety of machine learning algorithms, including supervised and unsupervised learning, to model complex problems.Limitations and Areas for Improvement
Despite its capabilities, GoodData has some limitations:Unsupported Capabilities
GoodData Cloud and GoodData.CN do not support certain features such as combining measure value filters and ranking filters, rollups, subtotals, and dashboard exports to PDF. Additionally, dashboard plugins are not currently supported.Real-Time Predictions
Real-time predictions are not included in the standard Predictions and Recommendations functionality and require additional scoping and pricing.Data Integration
While FlexConnect allows for seamless data integration, there are specific schemes for identifying entities (using `id` and `type`) that need to be followed to avoid errors.Future Enhancements
GoodData is continuously improving its AI-driven capabilities. For example, in 2025, they plan to launch advanced AI-driven trend analysis and anomaly detection features. These tools will automatically explain unusual data patterns and highlight key trends, enhancing the analytics experience and improving decision-making. In summary, GoodData’s performance and accuracy are strong, thanks to its integrated ML models and careful data modeling. However, it is important to be aware of the limitations and ensure high-quality data to maximize the accuracy of the predictions and recommendations. GoodData - Pricing and Plans
Current Pricing Tiers
Enterprise Plans
GoodData now primarily offers enterprise-level plans, and the pricing details are not publicly available. You need to contact their sales team to get a custom quote for your specific needs.Features of Enterprise Plans
- Data Sources: Access to various data warehouses such as Snowflake, Azure, SQL Server, BigQuery, Redshift, and Databricks.
- Data Processing: FlexCache results, though the exact number is not specified for the current enterprise plans.
- Dashboards: Unlimited number of self-service reports and dashboards.
- Customization: Whitelabeling, custom visual themes, custom dashboard plugin extensions, and custom domain URLs.
- Embedding and Integration: iFrame or Web Components for embedding, React SDK for UI integration, and Python SDK for management and integrations.
- Scaling and Control: Semantic layer supporting reusable metrics, built-in multitenancy with hierarchical workspaces, and declarative API for metadata definitions.
- Deployment and Operation: Fully managed on AWS or Azure, dedicated clusters, multi-region deployment, 99.5% guaranteed uptime SLA, and self-hosted deployment options.
- Compliance and Security: SOC 2, GDPR, ISO 27001, HIPAA compliance, and FedRAMP (coming soon).
- Support: 24/7 prioritized SLA and a dedicated customer success manager.
Historical Plans (No Longer Available)
Startup Plan
This plan was previously available but is no longer offered. It included features like access to all data sources, 1,000 FlexCache results, unlimited dashboards and reports, and whitelabeling. The cost was $30 per user per month with a minimum of 10 users, translating to $300 per month.Professional Plan
This plan was also previously available and included a platform fee of $1,500 per month plus additional costs per workspace. It offered features similar to the enterprise plan but lacked some of the advanced security and deployment options.Freemium Tier
In the past, GoodData offered a freemium tier that allowed embedding analytics in up to five workspaces at no cost. This tier included drag-and-drop dashboards, support for cloud-based data warehouses, and limited data storage (100MB per workspace). However, this option is no longer mentioned in the current pricing structure.Free Trial
GoodData still offers a 30-day free trial for prospective users to explore the full functionality of their business intelligence software. In summary, GoodData’s current pricing is focused on enterprise-level plans with comprehensive features, and you need to contact their sales team for a custom quote. There are no longer any publicly available pricing tiers or free plans beyond the 30-day free trial. GoodData - Integration and Compatibility
Integrating GoodData into Your Existing Infrastructure
Integrating GoodData into your existing infrastructure and ensuring compatibility across various platforms is a key aspect of its functionality. Here are some key points to consider:
Embedded Dashboards and Reports
GoodData allows you to embed dashboards and reports directly into your web application using iframes. You can obtain the necessary code snippets from the GoodData Portal to integrate these analytics components seamlessly. This integration is supported across different web applications, including Salesforce, where you can embed dashboards to enhance your analytics capabilities.
Authentication and Single Sign-On
To ensure a seamless user experience, GoodData supports Single Sign-On (SSO) through various authentication methods. This means users can access embedded dashboards and reports without additional login steps, provided SSO is implemented.
Data Permissions and Access Control
GoodData provides data permissions filters that allow you to control data access at the user level. You can set data-level access controls based on attribute values, ensuring that users see only the data they are authorized to view.
Compatibility with GoodData Cloud and GoodData.CN
GoodData.UI, the toolkit for building applications on top of the GoodData platform, has specific version compatibility. For instance, GoodData.UI version 8.10.0 and later are compatible with GoodData Cloud, while earlier versions are not. Similarly, there is detailed compatibility between GoodData.UI and GoodData.CN, with certain versions of GoodData.UI supporting specific versions of GoodData.CN.
API and SDK Integration
The GoodData platform offers a comprehensive REST API that exposes all its functionality. GoodData.UI builds on these REST APIs, providing an Analytical Backend abstraction that simplifies the integration of analytical capabilities into your UI components. This includes libraries such as @gooddata/api-client-bear and @gooddata/sdk-backend-bear, which help in communicating with the GoodData platform.
AI-Driven Features and FlexConnect
GoodData integrates AI and machine learning through features like Smart Search, Conversational Analytics, and FlexConnect. FlexConnect allows businesses to connect to any data source, including APIs and machine learning models, and integrate predictive insights into their analytics workflows. This ensures real-time decision-making without major infrastructure changes.
White Labeling
GoodData also offers white labeling, which enables you to remove the default GoodData branding and replace it with your own enterprise branding. This feature helps in maintaining a consistent brand identity across your integrated applications.
Conclusion
In summary, GoodData provides a flexible and integrated platform that can be seamlessly embedded into various web applications, supports multiple authentication methods, and ensures data access control. It also maintains compatibility across different versions of GoodData Cloud and GoodData.CN, and offers robust API and SDK support for custom integrations.
GoodData - Customer Support and Resources
GoodData Customer Support Options
GoodData offers a range of customer support options and additional resources to ensure users can effectively utilize their AI-driven data analytics platform.Professional Services
GoodData provides comprehensive professional services to support the implementation and optimization of their analytics solutions. These services include:- Data Services: Experts help create tailored data models, streamline data workflows through agile data transformation, and ensure precise data integration.
- Product Design: Specialists analyze requirements and use cases, conduct UX research, and design custom dashboards for strategic data storytelling.
- Implementation Services: GoodData accelerates integration with best practices, ensures smooth and secure implementation, and shapes the solution architecture to meet specific needs.
- Ad-hoc Advisory: Flexible, personalized consultations and expert solution reviews are available to align BI strategies with business objectives. This includes immediate expert guidance and targeted assistance for specific use cases.
Customer Service Analytics
GoodData’s customer service analytics software is designed to boost customer satisfaction and optimize contact center operations. Key features include:- Tracking and Improving Metrics: Users can track response times, resolution times, queue times, and abandonment rates to improve performance and meet service-level agreements.
- Customer Behavior Analysis: The platform helps in understanding customer behavior, increasing engagement and loyalty, and forecasting attrition using AI-powered predictions.
- Efficient Dashboards: User-friendly dashboards provide an overview of customer support performance, allowing for deeper insights and easy sharing across teams and customers.
AI-Driven Analytics
GoodData’s platform incorporates several AI features to enhance user experience and decision-making:- Smart Search and AI Assistant: Users can interact with data using natural language queries, and the AI Assistant acts as an interactive chatbot to generate ad-hoc visualizations and refine results through dialogue.
- Predictive Analytics: The platform uses algorithms to anticipate customer behavior and potential issues, helping to prioritize support tickets and improve response times.
- AI-Driven Trend Analysis: Upcoming features include automated trend analysis and anomaly detection, which will explain unusual data patterns and highlight key trends for proactive actions.
Additional Resources
- Demo and Q&A: Users can request a live demo and Q&A session to discuss their specific business needs and see how GoodData can help achieve their analytics goals.
- Success Stories and Case Studies: GoodData shares success stories and case studies to illustrate how their solutions have helped other organizations, providing valuable insights and examples of effective implementation.
GoodData - Pros and Cons
Advantages
Pre-Built Integrations
GoodData offers extensive integrations with popular cloud-based data sources and applications such as Salesforce.com, Adobe Marketing Cloud, and Magento. This makes it easier for companies to connect their existing data systems.
Comprehensive Technology Stack
GoodData provides a complete technology stack that includes data collection, combination, and transformation capabilities, along with an Extract Transform Load (ETL) process. This simplifies the data analytics process by consolidating multiple functions into one tool.
User-Friendly Interface and Visualization
The platform boasts a sleek and intuitive user interface, making it easy for users to generate reports and visualize data. The dashboards are well-designed and embed seamlessly with other SaaS products.
AI-Driven Features
GoodData incorporates advanced AI capabilities, such as Smart Search and an AI Assistant, which allow users to interact with data using natural language queries. This democratizes analytics, enabling non-technical users to extract insights without specialized knowledge.
FlexConnect and Machine Learning Integration
GoodData’s FlexConnect feature enables seamless integration with various data sources, including APIs and machine learning models. This allows businesses to operationalize machine learning and predictive analytics without significant infrastructure changes.
Security and Transparency
The platform prioritizes security with robust encryption and transparency in AI models, ensuring compliance with regulatory requirements and building trust with stakeholders.
Productivity and Efficiency
GoodData is designed to streamline the data analytics process, making it more efficient and less time-consuming. It integrates various asynchronous services to enhance productivity and reduce the time needed for data analysis.
Disadvantages
Cost
GoodData is expensive, particularly for small or mid-sized companies. The pricing model is based on the size of the company’s database, which can lead to significant costs as the database grows.
Complex Report Building
Building reports and conducting inquiries on GoodData requires technical skills, as it involves some coding. This can be a barrier for companies without technical users.
No On-Premise Option
GoodData is entirely cloud-based, which can be a drawback for users who prefer or require on-premise solutions. This lack of control over updates and training can be a concern for some users.
Data Type Limitations
Some users have reported limitations in the types of data that GoodData can handle, and occasionally, not enough data is acquired by the software.
In summary, GoodData offers a powerful and feature-rich data analytics platform with strong AI-driven capabilities, but it comes with a higher cost and requires technical expertise for some functions.
GoodData - Comparison with Competitors
When Comparing GoodData to Its Competitors
In the AI-driven data analytics category, several key aspects and unique features of GoodData come to the forefront.
Unique Features of GoodData
- Natural Language Interfaces: GoodData stands out with its Smart Search and AI Assistant features. These tools allow users to interact with data using natural language queries, generating visualizations and refining results through dialogue. This democratizes analytics, making it accessible to non-technical users.
- AI-Driven Trend Analysis and Insight Explanation: GoodData is set to launch advanced AI-driven trend analysis and anomaly detection in 2025, which will automatically explain unusual data patterns and highlight key trends. This enhances decision-making and operational efficiency.
- User-Centric Design: The platform is designed for both technical and non-technical users, focusing on accessibility and ease of use. This makes it easier for a broader range of users to extract insights and make data-driven decisions.
- Composable Architecture: GoodData’s AI features are highly flexible, allowing integration into custom applications via SDKs and APIs, which ensures the platform can adapt to industry demands and scale with the organization’s growth.
Competitors and Their Key Features
Domo
- Domo offers an end-to-end data platform with an AI service layer that streamlines data delivery and guides users to insights through AI-enhanced data exploration. It includes an intelligent chat feature and pre-built AI models for forecasting and sentiment analysis. However, Domo’s AI features are integrated but may not be as accessible for non-technical users as GoodData’s.
- Pros: Streamlined data delivery, AI-enhanced data exploration, and pre-built AI models.
- Cons: Can be costly, and some features may require technical expertise.
Microsoft Power BI
- Power BI is a powerful tool that integrates well with the Microsoft Office suite, making it user-friendly for those familiar with Microsoft products. It supports natural language queries and can handle large data sets, but it can become costly with premium features and has a learning curve for advanced functionalities.
- Pros: User-friendly interface, integration with Microsoft Office, and scalability.
- Cons: Costly with premium features, learning curve for advanced functionalities.
Tableau
- Tableau is known for its advanced visualizations and intuitive drag-and-drop interface. It uses AI to make data analysis more accessible, especially with features like Tableau GPT and Tableau Pulse. However, it can be difficult for new users and has a steeper learning curve compared to GoodData’s more accessible AI features.
- Pros: Advanced visualizations, feature-rich with AI tools, and seamless integration with Salesforce data.
- Cons: Steeper learning curve, especially for beginners.
IBM Cognos Analytics
- IBM Cognos Analytics offers AI-powered automation and insights, including natural language query support and automated pattern detection. However, it has a complex interface with a steep learning curve and can be prohibitively expensive for small to mid-sized companies.
- Pros: Integrates with IBM tools, supports natural language inquiries.
- Cons: Complex interface, expensive for smaller companies.
AnswerRocket
- AnswerRocket is a search-powered AI data analytics platform that allows users to ask questions in natural language to get rapid insights. It is easy to use, even for users with limited data backgrounds, but lacks advanced features compared to more established tools like GoodData.
- Pros: Easy to use, quick insights, suitable for business users without technical expertise.
- Cons: Lacks advanced features, restrictive integration options.
Potential Alternatives
If you are considering alternatives to GoodData, here are some points to keep in mind:
- Upsolve AI and Zoho Analytics are more affordable and user-friendly, making them suitable for small businesses. They offer essential analytics features and are easier to use for non-technical users.
- Tableau is a good option if you prioritize advanced visualizations and integration with Salesforce data, but it comes with a steeper learning curve.
- Domo and Microsoft Power BI offer comprehensive suites of tools but may be more costly and have a higher learning curve for advanced features.
Key Considerations
When choosing between GoodData and its competitors, consider the following:
- Feature Requirements: Ensure the tool offers the features you need, such as customizable dashboards, real-time analytics, and advanced data visualization.
- Pricing: Evaluate the pricing structure to ensure it aligns with your budget. Tools like Zoho Analytics are more budget-friendly, while others like GoodData and IBM Cognos Analytics can be costly.
- Integration: Check if the platform integrates well with your existing software stack to avoid additional setup costs.
- User-Friendliness: Consider how easy the tool is to use, especially for non-technical users. GoodData, Upsolve AI, and Zoho Analytics are known for their user-friendly interfaces.
- Scalability: Ensure the tool can handle increasing data volumes and user demands as your business grows.
By evaluating these factors, you can choose the best tool that meets your specific needs and enhances your data-driven decision-making capabilities.
GoodData - Frequently Asked Questions
Frequently Asked Questions about GoodData
What is GoodData and what does it offer?
GoodData is a data analytics platform that equips data analysts with tools to build customizable dashboards, revealing e-commerce customer behaviors and preferences. It unifies data from numerous sources, allowing for a holistic view of business operations and enabling data-driven decision making across departments and external partners.How does GoodData handle data integration?
GoodData’s platform allows businesses to connect to various data sources, including Snowflake, Azure, SQL Server, BigQuery, Redshift, and Databricks. The FlexConnect feature enables flexible and open connections to any data source, including APIs and machine learning models, ensuring seamless integration of predictive insights into analytics workflows.What AI features does GoodData offer?
GoodData includes several AI-driven features such as Smart Search and the AI Assistant. Smart Search allows users to interact with data using natural language queries, while the AI Assistant acts as an interactive chatbot to generate ad-hoc visualizations and refine results through dialogue. Additionally, GoodData plans to launch advanced AI-driven trend analysis and anomaly detection capabilities in 2025.How does GoodData’s Analytical Designer work?
The Analytical Designer in GoodData creates recommendations to help users modify insights based on common usage patterns gathered from the platform. It uses metadata and aggregated usage statistics, ensuring data security and not sharing company-specific information. Users can expand facts by applying different calculations and create metrics using facts and attributes. However, certain insights may be locked and only editable by workspace administrators.Can I customize dashboards and reports in GoodData?
Yes, GoodData offers extensive customization options. Users can create unlimited self-service reports and dashboards, and the platform supports whitelabeling, custom visual themes, custom dashboard plugin extensions, and custom domain URLs. Additionally, dashboards can be localized to different display languages and embedded using iFrame or Web Components.How secure is GoodData?
GoodData prioritizes security and compliance. The platform is fully managed on AWS and Azure, and it complies with SOC 2, GDPR, and ISO 27001 standards. The Enterprise plan also includes HIPAA compliance and FedRAMP compliance (coming soon). GoodData ensures full transparency and auditability of all AI models, protecting sensitive information and meeting regulatory requirements.What are the different pricing plans offered by GoodData?
GoodData offers two main pricing plans: Professional and Enterprise. The Professional plan includes features like unlimited users and data, various data sources, unlimited dashboards, customization options, and standard support. The Enterprise plan adds custom pricing, enterprise-level security and compliance, dedicated clusters, multi-region deployment, 99.5% guaranteed uptime SLA, and 24/7 prioritized support.Can I hide certain items from the Data Catalog in GoodData?
Yes, you can hide items in the embedded mode of the Data Catalog. This can be done using the `includeObjectsWithTags` and `excludeObjectsWithTags` parameters to display or hide facts, metrics, attributes, and dates. However, these parameters do not affect folders directly; you need to show or hide all items within a folder to display or hide the folder itself.How does GoodData support multi-tenancy?
GoodData’s platform includes built-in multitenancy with hierarchical workspaces, allowing businesses to roll out consistent analytics across departments and external partners. This feature supports scalable and resilient metrics, ensuring that data is managed efficiently across multiple tenants.What kind of support does GoodData offer?
GoodData provides different levels of support depending on the pricing plan. The Professional plan includes standard support, while the Enterprise plan offers 24/7 prioritized support and a dedicated customer success manager. GoodData - Conclusion and Recommendation
Final Assessment of GoodData in the Data Tools AI-Driven Product Category
GoodData is a comprehensive data application platform that offers a wide range of benefits, particularly for organizations looking to integrate AI-assisted analytics into their operations.Key Benefits
Integration and Customization
GoodData allows users to create custom data products and integrate AI-assisted analytics seamlessly into various applications and web portals. It supports multiple data sources, data warehouses, and databases, making it highly versatile.
User-Friendly Analytics
The platform is known for its user-friendly interface, enabling non-technical team members to access and analyze data effectively. It provides clear visuals and straightforward insights, which is crucial for businesses where not everyone is a data expert.
Real-Time Data and Decision Making
GoodData offers real-time data, which helps businesses make effective and timely decisions. It also aids in identifying trends and patterns, facilitating the creation of efficient future plans.
Scalability and Multitenancy
The platform is highly scalable, allowing businesses to manage their analytics in one place and automatically scale to accommodate increases in volume, assets, or users. This makes it ideal for growing businesses.
Embedded Analytics
GoodData excels in embedded analytics, enabling the integration of metrics, insights, and AI features into apps, data products, or web portals. This enhances user engagement and can generate additional revenue through tiered or subscription-based analytics insights.
Who Would Benefit Most
GoodData is particularly beneficial for several types of organizations:Media Companies
GoodData helps media companies improve content quality, sharpen placement and promotional strategies, increase audience acquisition, and boost ad revenue. It provides detailed visibility into content consumption across all channels and allows for benchmarking performance across similar markets.
Enterprise and Mid-Market Businesses
These businesses can leverage GoodData to consolidate scattered and unorganized data, simplify complex analytics, and make data-driven decisions. The platform’s ability to integrate various data sources and provide customizable dashboards is highly valued by IT professionals and business analysts.
Small Businesses
Small businesses can benefit from GoodData’s ability to deliver fine-grained dashboards quickly, provide real-time data overview, and support long-term business requirements. It helps in scaling operations efficiently and building a modern data stack.