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Are you ready to unlock the hidden potential of your business data? Imagine a world where you have the power to transform raw numbers into actionable insights that propel your business toward unprecedented success. The amount of data organizations receive nowadays can be overwhelming. The challenge lies in deriving meaningful insights from this avalanche of information. That’s where embedded analytics tools come in. These tools integrate analytics capabilities directly into your existing applications, revolutionizing how you use data.
In this article, we’ll explore the top 5 embedded analytics tools that are revolutionizing the industry. These tools help businesses of all sizes improve their data strategies and achieve impressive results. No matter if you're a small startup or a big company, these 5 embedded analytics tools can help you gain an advantage and improve your operations and customer experiences.
So, are you ready? It’s time to harness the power of data and propel your organization to new heights!
Here are some of the things you should look for when choosing an embedded analytics tool.
Ability to transform data into a useful and relatable model embedded within a business application: With embedded business intelligence, users can transform raw data into a format that is easily understandable and relevant to their specific business needs. This allows for better data interpretation and decision-making within the application itself.
Creation of reports, dashboards, and visualizations: Embedded business intelligence software enables users to generate reports, design interactive dashboards, and create visualizations to represent data in a visually appealing and meaningful way. This enhances data comprehension and facilitates data-driven decision-making.
Integrability with business applications: Embedded business intelligence tools seamlessly integrate with existing business applications, ensuring a smooth user experience. The analytics capabilities become an integral part of the application, eliminating the need for users to switch between different tools or interfaces.
White labeling and seamless integration to match the look and feel of the application: Embedded business intelligence software offers white labeling options, allowing developers to customize the appearance and user interface to align with the branding and design of the business application. This creates a cohesive and consistent user experience.
Visualizations and reporting features to better illustrate data: Embedded business intelligence software provides a wide range of visualization options, allowing users to create visually appealing and informative charts, graphs, and other visual representations of data. This enhances data comprehension and simplifies complex information.
Support for self-service data modeling, blending, and discovery processes: Embedded business intelligence tools empower users to independently model and blend data from various sources, enabling them to gain deeper insights and discover patterns and trends. This self-service approach enhances data exploration and analysis capabilities.
Automodeling, collaboration and workflow, and search capabilities: Embedded business intelligence software often includes advanced features like automodeling, which automates the process of creating data models, collaboration and workflow tools to facilitate teamwork and streamline processes, and search capabilities to quickly locate and access specific data or insights.
Conversational interface for intuitive querying of data: The latest trend in embedded business intelligence is the adoption of conversational interfaces, allowing users to query data using natural language processing. This intuitive approach makes data exploration and analysis more accessible to a broader user base.
AI-powered insights to uncover hidden insights: Embedded business intelligence software leverages artificial intelligence and machine learning to uncover hidden insights within the data. These insights provide users with deeper understanding and help drive data-driven decision-making.
Considerations for data security and access control: Embedded business intelligence software ensures data security by offering features such as access control, allowing administrators to assign different levels of access to the platform. This safeguards sensitive data and ensures that only authorized users can view and interact with it.
Data security and access control considerations: Features to safeguard sensitive data.
Kyligence has an AI Copilot for data analytics that offers a range of powerful features and highlights. It leverages advanced artificial intelligence to accelerate data analytics and gives businesses deep insights for informed decision-making, without the assistance of technical teams.
Kyligence’s embedded analytics capabilities allow seamless dashboards and AI copilots integration into applications with minimal code. With its robust data security measures, Kyligence ensures trustworthy and secure access to data and empowers businesses to drive growth through data-driven strategies.
The pricing plans start at $59 per user per month for individuals and small teams. It offers quick setup, up to 5000 AI chats/month, up to 100 GB storage, and up to 100,000 API calls/month. Premium and Enterprise+ plans are for teams and organizations.
Tableau is a comprehensive data and analytics platform that enables organizations to use data and drive better business outcomes responsibly. It offers integrated data management and governance, visual analytics, data storytelling, and collaboration features.
With Tableau, users can explore data through intuitive visualizations, and advanced analytics features that are good for advanced analysts to support business analytics.
Tableau’s Individual plan starts at $75/month, while Duo starts at $150 per month, billed annually.
Data transformation is not good enough (based on G2 reviews).
ThoughtSpot offers an AI-powered analytics platform that enables users to ask data questions in natural language and receive accurate answers. The platform connects directly to cloud data, eliminating the need for data movement or caching.
The pricing starts at $95/month for the Team plan, $1250/month for the Essentials plan, and $2500/month for the Pro plan.
Sigma is a powerful and scalable cloud analytics platform that allows business users to explore and analyze data from their cloud data warehouse easily. Sigma lets users access huge amounts of data, work together with others, and gain insights without needing coding or specialized training.
Contact support for custom pricing.
Domo is a comprehensive data platform that helps businesses make better decisions based on real-time data. With Domo, users can create customizable visualizations, automate reporting, build apps, and share data securely.
Contact their support for custom pricing.
When it comes to choosing the best embedded analytics tool for your business, Kyligence stands out from the rest as a all-in-one solution. With AI Copilot, data query engine, and visualization combined. Kyligence offers a cost-effective solution for you to build an embedded analytics platform.
For businesses looking to accelerate its Go-to-Market without the hassle of building in-app analytics from scratch, Kyligence is the top choice among embedded analytics tools. Try it now!
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