Top 5 Embedded Business Intelligence tools to boost your performance in 2024

Embedded Business Intelligence softwares are complex and it can be tedious to look for the best suited for you until you understand the top capabilities in detail. To solve this problem, here we have collated the list of top 5 CRM tools to boost your performance drawing on our experience, user reviews, and expert insights. All personally vetted for real-world impact.

Zoho Analytics

4.3

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Zoho Analytics is an ideal tool to perform in-depth analytics and generate insightful reports. The platform will help you analyze your business data from various sources and derive meaningful insights. Some of its core features, like AI-powered analytics and predictive analytics, will go a long way in forecasting trends and optimizing business operations.

Key features:

AI-Powered Analytics (Zia)
Zoho Analytics features Zia, an AI-powered assistant that uses machine learning and natural language processing to provide insights and generate reports. Users can ask questions in natural language and receive instant insights, making data analysis more accessible to non-technical users.
Data Blending and Integration
Zoho Analytics offers robust data blending and integration capabilities, allowing users to combine data from various sources, such as cloud services, spreadsheets, databases, and custom applications. This feature helps in creating comprehensive reports and dashboards that provide a holistic view of business performance.
Collaborative Analytics
Zoho Analytics provides collaborative features that enable teams to work together on data analysis projects. Users can share reports and dashboards, comment on findings, and set up scheduled email reports. This facilitates better communication and collective decision-making within the organization.

Sisense

4.2

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Sisense is designed to empower organizations with embedded analytics solutions. The tool allows you to embed analytics into your applications and workflows seamlessly. With key features like white-labeling and REST API connectivity, you can effectively deliver data-driven insights to your customers and stakeholders, enhancing user engagement and driving business growth.

Key features:

In-Chip Technology
Sisense leverages its proprietary In-Chip technology, which optimizes computational processing by using the CPU cache to perform data analysis tasks more efficiently. This results in faster query responses and the ability to handle large datasets without compromising performance.
Elastic Data Engine
Sisense's Elastic Data Engine enables scalable and flexible data handling. It allows users to perform complex data transformations and manage large volumes of data seamlessly, ensuring high performance and rapid insights even as data scales.
AI-Driven Data Exploration
Sisense features AI-driven data exploration tools, such as Sisense Pulse and Boto, that proactively deliver insights and alerts based on data trends and patterns. This empowers users to make proactive, data-driven decisions and stay ahead of potential issues or opportunities.

Looker

4.4

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Looker is a leading solution for business intelligence and analytics. You can use this tool to analyze and visualize your data to uncover insights and make informed decisions. Features like centralized data modeling and collaborative exploration will help you democratize data access across your organization and drive data-driven decision-making.

Key features:

Model-Driven
Looker is known for its model-driven architecture, which allows organizations to define a centralized data model. This approach simplifies data access and ensures consistency in reporting and analytics across the organization.
Data Exploration and Visualization
Looker provides powerful data exploration and visualization capabilities. Users can create interactive dashboards and reports to analyze data from multiple sources. Features like drag-and-drop interface, customizable visualizations, and drill-down capabilities enhance user experience and facilitate deeper insights.
Data Governance and Security
Looker emphasizes robust data governance and security features. It offers fine-grained access controls, auditing capabilities, and data encryption to ensure that sensitive information is protected. This focus on data governance helps organizations comply with regulatory requirements and maintain trust with stakeholders.

Oracle Analytics Cloud

4.1

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Oracle Analytics Cloud can help you unify data from multiple sources for comprehensive analytics and reporting. It's purpose-built for enterprise-level data management and scalability. You can leverage its core capabilities like self-service analytics and embedded machine learning to empower users across your organization with actionable insights and drive operational efficiency.

Key features:

Integrated AI and Machine Learning
Oracle's analytics platform integrates advanced AI and machine learning capabilities to provide predictive and prescriptive insights. This includes features like automated anomaly detection, forecasting, and recommendation engines, which help businesses anticipate trends and make proactive decisions.
Comprehensive Data Management
Oracle offers robust data management capabilities within its analytics platform. This includes data integration from various sources, data cleansing, and data governance features. It ensures that organizations have clean, reliable data to drive accurate analytics and reporting.
Scalability and Cloud Integration
Oracle's analytics platform is designed for scalability, allowing organizations to handle large volumes of data and users. It leverages cloud infrastructure, providing flexibility and accessibility while maintaining high performance. This integration enables seamless deployment and management of analytics solutions across the enterprise.

Tableau

4.4

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Tableau is designed to empower data-driven decision-making. The tool allows you to visualize and analyze your data effectively. With key features like interactive dashboards and real-time analytics, you can effectively gain insights, make informed decisions, and drive business growth.

Key features:

Interactive Data Visualization
Tableau offers powerful interactive data visualization capabilities that allow users to explore and analyze data dynamically. With features like drag-and-drop functionality and intuitive dashboards, users can easily create compelling visualizations to uncover insights and communicate findings effectively.
Advanced Collaboration Tools
Tableau offers advanced collaboration features that facilitate teamwork and knowledge sharing among users. With capabilities such as commenting, annotations, and shared workbooks, teams can collaborate seamlessly on data analysis projects, exchange insights, and collectively drive data-driven decision-making processes.
Natural Language Processing (NLP) Integration
Tableau integrates with natural language processing (NLP) technologies, such as Tableau Ask Data, which allows users to ask questions about their data using everyday language. This feature democratizes data access and analysis, making it easier for users across an organization to interact with data and derive actionable insights, even if they lack technical expertise.