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Definitive Guide to Decision Intelligence
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Are you tired of spending countless hours analyzing data manually? Do you want to stay ahead of the competition with cutting-edge analytics tools? Yes? You’ve come to the right place…
In this article, we’re going to discuss the top 5 augmented analytics tools for all-size businesses to analyze data effortlessly. These 5 augmented analytics tools can help you make informed decisions for your business without having to spend a lot of time on manual work. Stay tuned!
Augmented Analytics refers to the integration of artificial intelligence (AI) and machine learning (ML) technologies into analytics platforms. It automates data preparation, insight generation, and visualization and enables users to gain valuable insights from data without extensive technical expertise.
Augmented analytics uses AI and ML algorithms to improve data exploration, pattern recognition, and natural language processing. This makes analytics easier to use, understand, and more efficient.
The key capabilities of augmented analytics include:
Automated Insights: Augmented analytics leverages AI and ML algorithms to automatically generate insights from data. It can identify patterns, trends, and correlations in large datasets, providing users with actionable information without requiring manual analysis.
Natural Language Processing (NLP): Augmented analytics platforms often incorporate NLP capabilities, allowing users to interact with data using natural language queries. This makes data exploration and analysis more intuitive and accessible to a wider range of users.
Data Preparation and Integration: Augmented analytics streamlines the process of data preparation and integration. It automates tasks such as data cleansing, transformation, and enrichment, reducing the time and effort required to prepare data for analysis.
Data Visualization: Augmented analytics tools offer advanced data visualization capabilities. They can automatically create interactive charts, graphs, and dashboards that effectively communicate insights and trends in a visually appealing manner.
Collaborative Analytics: Augmented analytics promotes collaboration among users by providing features for sharing and discussing insights. It allows multiple stakeholders to work together on data analysis projects, fostering a more inclusive and collaborative decision-making process.
Bias Detection and Mitigation: Augmented analytics helps in curbing human biases that can impact data analysis. By leveraging ML algorithms, it can detect and mitigate biases in data, ensuring that insights and recommendations are based on objective and unbiased analysis.
Data Discovery and Recommendation: Augmented analytics platforms often include features for data discovery and recommendation. They can automatically suggest relevant datasets, variables, or analytical approaches based on user preferences and historical usage patterns.
These capabilities of augmented analytics enable users, even those without extensive analytics expertise, to derive meaningful insights from data and make data-driven decisions more efficiently.
Kyligence Zen remains a compelling choice for those seeking to unlock the full potential of their data through a centralized, low-code platform that promotes a metrics-driven approach to business decision-making.
The Sisense Fusion Analytics Platform is a great tool for product teams to integrate AI- and ML-based analytics into their applications. It offers flexible tools, SDKs, and APIs to draw data from multiple sources for enriched analytics and insights.
The platform seamlessly integrates analytics into the product’s UI and Continuous Integration (CI)/Continuous Deployment (CD) pipeline. And users can view data through charts and graphs or analyze it using natural language questions.
Customized analytics can be embedded with Sisense Fusion Embed, which provide intuitive insights for confident, data-informed decisions. This AI-driven tool enhances product engagement, speeds up time to market, and offers hassle-free cloud maintenance.
Sisense operates on a subscription pricing model, although the exact pricing details are not publicly disclosed. They do offer a free trial for users to evaluate the platform before making a decision.
Qlik Sense is a powerful analytics tool that enables organizations to explore and analyze data intuitively through visual discovery. It empowers users to make data-driven decisions and drive actionable outcomes across the organization with the power of AI-powered insights, real-time collaboration, and support for enterprise-scale deployment.
Yellowfin is a comprehensive analytics platform that empowers businesses to leverage their data for actionable insights. Yellowfin empowers users to make informed decisions for business success through action-based dashboards, automated analysis, and data storytelling.
Contact their support team to get custom pricing.
Yellowfin offers a flexible pricing structure that accommodates businesses of all sizes. It provides two main pricing models:
Subscription Model: This model allows for monthly or annual payments, catering to organizations seeking predictable and manageable costs.
Perpetual Licensing: This model is suitable for those preferring a single payment for enduring access to Yellowfin, without the need for ongoing subscription fees, catering to businesses with sustained BI needs.
However, the exact pricing can vary, and here are some indicative prices from different sources:
Although there are multiple visualization options, they are not much customizable. Tableau is a visual analytics platform that helps people see, understand, and act on data using their in-house Einstein Copilot.
It provides intuitive products, fosters a strong community, and enables organizations to build a data-driven culture. With Tableau, users can explore data, create visualizations, and gain insights from any source.
You can also contact them for customized features and pricing.
In the ever-evolving landscape of data analytics, augmented analytics tools are paving the way for effortless and informed decision-making. These tools, powered by AI and machine learning, are designed to automate and simplify the complex data analysis process. Among the top contenders in 2023, Kyligence stands out with its automated insights, and NLP technology for businesses to generate deep insights within seconds. It promises a centralized, low-code platform that emphasizes a metrics-driven approach to business decision-making.
If you're considering an upgrade to your analytics toolkit, now's the perfect time to evaluate and experience Kyligence's capabilities. And the best part? You can try Kyligence for free. Don't miss this opportunity to transform your data insights and stay ahead of the curve.
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