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The Next Frontier in BI: No-Code Tools for Data Discovery

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    In many industries, making data-based decisions is quickly becoming the norm. Companies are trying to give their employees more accessible, user-friendly ways to access and use data. Data discovery tools help businesses see their information assets and make it easier for business users to explore and work with an organization's data. Even users who don't know much about technology can find helpful information in data without learning data modeling and other new skills. Presently, it is being used in Business Intelligence platform

    Visual analytics and natural language processing are two types of data discovery technologies that let users interact with data and analytics in natural ways, such as through visual interaction, drag-and-drop, and natural-language conversation.

    What is Data Discovery?

    Business intelligence used to be the job of IT departments or complex technology stacks that were managed by teams of experts. Over time, BI reporting and analytics software has changed, and now business users don't need help from IT to prepare, load, and interact with data. Data discovery helps break down data silos, eliminates bottlenecks, and makes it easier for users to understand and explore an organization's information assets.

    With data discovery technology, users can quickly clean, combine, and analyze complex data sets to get the information they need to make better decisions and important discoveries. 

    Different connectors make it easy to connect to various data sources quickly. Graphical interfaces and AI help users access, prepare, and interact with data through visualizations and drag-and-drop features. They can search for data just like they would search the web and use advanced analytics and machine learning frameworks through simple visual interactions.

    What is the difference between traditional BI and data discovery?

    Business Intelligence software usually gathers, analyzes, and presents data in controlled, standard formats, such as through regular BI reporting. Modern Business Intelligence tools support data discovery, which lets users explore and work with data more freely, finding unexpected insights and getting answers to ad hoc questions or as needed. This new way to do BI is faster and more flexible. It gives more people access to data and lets them use it to solve problems, test their ideas, and make decisions.

    Enterprise and next-generation data discovery solutions

    Data governance and security are built into enterprise-grade data discovery tools like Grow. This gives organizations a safe, centralized place to explore data. IT keeps complete visibility and control over data and analytics applications, while business users get self-service access to trusted, reliable data. Organizations can give users controlled access to all their assets, including unstructured information. This lets employees load and mix different datasets to get deeper insights.

    A next-generation no-code Business Intelligence platform, like Grow, make it possible to find data through search, visuals, and AI-powered enhancements. Users can use powerful, natural-language search to visualize the data they need, explore and interact with visualizations by making choices, and have AI find relevant connections and insights. With AI in the background, data discovery is not only more powerful but also more manageable, making data analytics more accessible to a broader range of users.

    How does finding data help the business?

    Data discovery helps organizations become more competent and flexible by letting more users combine and work with data from different sources and do analytics with the help of interactive visualizations. 

    Users spend less time looking for data and more time getting answers to their most important questions. This cuts down on the time it takes to gain insights. IT is optional for frontline users to get the information they need. Data discovery also helps drive innovation and creativity by letting your decision-makers put together a lot of different kinds of data. This gives them a broader view, more insights, and new opportunities. And finally, your employees get more comfortable working with data, which makes your business more productive and based on insights.

    Using Grow to find hidden patterns in data: analytics without blind spots

    Grow is the leader in data discovery technology, and it offers its customers an easy-to-use solution for self-service data visualization and advanced business data analytics. Grow’s is a Business Intelligence platform and powerful analytics platform that is also very flexible. 

    It can be used for any BI use case, from pixel-perfect business intelligence reporting to AI-powered big data analytics. Thanks to Grow’s unique data modeling capabilities, which cleanses complex data, users can search and freely explore your organization's information assets without being limited to partial views or predefined queries. The whole process of analytics is interactive. Smart visualizations put data in context by highlighting outliers and letting users zoom in or out and make choices to learn more about exciting patterns and trends. To learn more about uncovering trends in your data, check out Grow Pricing 2022 Capterra

    Conclusion

    Grow's enterprise-class, cloud-native Business Intelligence platform provides even the most demanding industries security, scalability, and outstanding performance. Users can access data discovery and advanced analytics tools in a safe, well-run environment that everyone can trust. With support for mobile analytics, users can look for data and work with it from any tablet or phone that can connect to the internet.

    Grow’s interactive visualizations and Business Intelligence tools make it possible for people who aren't tech-savvy to find patterns and trends in data. It allows users to explore and learn from data using interactive charts and other data visualizations. Our simplified user interface makes it easier for users to mix their data sets, change them, and look for connections between them. 



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