Introduction to Auto: Revolutionizing Data Interaction

Erika Moreno, VP of Product Management, and Abdul Rahman, Senior Product Manager, began the webinar. They showed how Auto can change how businesses use data. It integrates seamlessly into workflows, delivering immediate answers and insights without needing IT support.

Erika and Abdul highlighted how Auto leverages MicroStrategy's powerful semantic layer to streamline data access. This means no more waiting around for IT to pull reports. Instead, business users can dive right into the data, getting the answers they need quickly and efficiently.

Why Auto Matters for Your Organization

Auto is designed to make accessing data faster and easier. By using MicroStrategy's Semantic Layer, Auto provides precise and reliable analytics. This allows users to bypass traditional bottlenecks and get the insights they need directly.

Imagine being able to make informed decisions without the usual delays. Auto empowers business users to find answers on their own, freeing up IT resources for more strategic tasks. This democratization of data access ensures everyone in the organization can make data-driven decisions quickly and effectively.

Erika explained how this shift not only speeds up processes but also enhances the overall productivity of teams. When everyone has the information they need at their fingertips, they improve collaboration and meet strategic goals more effectively.

Key Features of Auto

Auto comes with some great features that enhance its usability and functionality. For example, it works well with current dashboards, letting users explore their data more and find important information. Abdul demonstrated how easy it is to use Auto with your current setups. Whether you're in finance, marketing, or operations, the integration is seamless.

The standalone bot is another fantastic feature. We can embed it in websites or mobile apps, providing flexibility and accessibility to users on the go. Imagine having a smart assistant that can answer your data-related questions anytime, anywhere.

Customization is another standout feature of Auto. Users can improve the bot's responses by uploading business terms and definitions.  
Abdul demonstrated how easy it is to customize the bot for your company's language. This will help your team better understand the bot. Customizing the bot will make it easier for your team to use. 

Best Practices for Implementing Auto

To get the most out of Auto, it’s important to follow a few best practices. First, identify who will be using the bot and what their primary needs are. This helps tailor the bot to provide the most relevant insights. For example, if your sales team needs quick access to performance metrics, ensure those are readily available.

Next, review your data sets. Make sure your data is well-structured and clearly named to avoid any confusion. This makes it easier for the bot to process and analyze the information accurately. Leverage the semantic layer to define attributes, metrics, and hierarchies. This will enhance the bot’s ability to deliver precise and contextually relevant answers.

Creating a User-Friendly Experience

Creating a user-friendly experience is key to maximizing the value of Auto. Guided exploration features, like suggested topics, help users start their data journey without feeling overwhelmed. When the bot detects ambiguity, it offers alternative interpretations to ensure users get the most accurate answers.

Branding and personalization are also important, such as customizing the bots appearance with your company’s branding. This includes adding logos, changing colors, and naming the bot to create a more personalized experience. Abdul shared examples of how companies have branded their bots, making them an integral part of their user experience.

Validation and Continuous Improvement

Validation and continuous improvement are crucial for ensuring Auto remains accurate and effective. The interpretation feature shows how the bot understood and processed a question, helping you validate and refine its responses. Regular testing and feedback are key. Utilize the feedback mechanism to continuously improve the bot’s accuracy and relevance.

Future updates will include even more smart suggestions and cognitive search capabilities to better understand misspellings, abbreviations, and synonyms. This means the bot will get smarter over time, providing even more accurate and helpful insights.

Future Enhancements

We’re continuously improving Auto. Future updates will have helpful suggestions for unclear questions. Users will also be able to provide feedback on answers that are not accurate.

Auto will also learn from user interactions, getting better over time at understanding and responding accurately. Improvements like cognitive search will help the bot understand misspelled words, abbreviations, and similar words more accurately. This will lead to more precise responses.

Conclusion

Don’t miss out on exploring the full potential of MicroStrategy Auto. Watch the on-demand recording of our webinar to learn more about how Auto can improve your data analysis and interaction capabilities.

Auto's powerful features help your organization work more efficiently by leveraging business intelligence and AI/BI solutions. They also provide users with data-driven insights. This can help your organization stay ahead in today's competitive landscape.

Ready to try Auto for yourself? Sign up for Auto Express, our 30-Day Free Trial to start your MicroStrategy experience.