Is reporting too manual in your enterprise? MicroStrategy ONE can solve that.

Header
Hero Background Image

Intelligence Everywhere

The MicroStrategy Blog: Your source for analytics and AI trends, and business intelligence insights.

AI-powered Analytics: Democratizing data for everyone

Photo of Joseph D. Stec

Joseph D. Stec

July 30, 2024

Share:

AI and machine learning have long been part of business intelligence (BI). Most enterprises use AI algorithms to optimize supply chains and gain high-level insights.

The Generative AI revolution, however, marked a significant turning point in the BI landscape. While it brought forth a wave of innovation and new possibilities, it also introduced a unique set of challenges.

Image

The power of AI-powered analytics

When leading global fashion house GUESS built an AI-powered chatbot, it changed how they worked with their data. It broke down silos and empowered teams across the organization. GUESS uses AI-powered analytics to improve decision-making across the fashion retail life cycle. 

Chatbots are only one way AI is changing Business Intelligence. By using natural language, data becomes more accessible, intuitive, and impactful than ever before. AI analytics is the combination of artificial intelligence and data analytics. AI leverages chatbots and machine learning algorithms to automatically analyze vast datasets, uncover hidden patterns, and generate actionable insights.

The rise of augmented analytics

The first wave of AI in analytics came in the form of augmented analytics. This approach infused machine learning algorithms into existing platforms, enhancing human capabilities with features such as: 

  • Automated Insights: Unveiling hidden patterns and correlations within data that might have otherwise gone unnoticed, hastening the discovery of valuable insights.

  • Intelligent Recommendations: Providing data-driven suggestions and guidance to users, empowering them to make more informed and effective decisions.

  • Natural Language Processing (NLP): Enabling users to interact with data using natural language queries. This drops the need for complex coding or technical expertise.

By breaking down barriers to entry and democratizing access to data, augmented analytics empower a wider range of users. This allows them to leverage the power of data for decision-making. However, this was merely the first step in the ongoing evolution of AI in analytics. It paves the way for even more transformative advancements.

The Data Dilemma: Fueling AI with Reliable Information

Data democratization has also brought to light the critical need for robust data management. The effectiveness of AI-powered analytics hinges on the quality and consistency of the underlying data. Data silos—where information is scattered across different systems—and inconsistencies in data definitions can cause problems. They hurt the accuracy and reliability of AI-generated insights.

fueling-ai-with-reliable-information.webp

GenAI: The next frontier of Business Intelligence

Powered by Large Language Models (LLMs), GenAI (generative AI) is now taking analytics to the next level. It does more than automate tasks and provide suggestions. GenAI enables a deeper understanding of data through natural language interactions. It can create narratives that explain complex findings and even build bots, visuals, and dashboards on the fly.

Elevating Data Storytelling

GenAI's capabilities extend to crafting narratives that break down complex findings, and even dynamically generating bots, visualizations, and dashboards on demand.

As Bruce Yen, VP of Retail Applications at GUESS, noted:

"We're going to look at these bots, not as bots, we're going to look at them as force multipliers. They're going to be subject matter experts that our business users can go into and ask questions and receive answers."

Democratizing data discovery

This widespread access to data insights is a game-changer for businesses. It means that anyone—regardless of their technical expertise—can now leverage the power of AI. This allows end users to explore data, ask questions, and uncover hidden patterns.

This not only accelerates decision-making—it also fosters a data-driven culture across the organization. This democratization of data empowers end-users to:

  • Explore Data: Delve into datasets with ease, uncovering hidden patterns and relationships.

  • Ask Questions: Pose questions in natural language and receive instant, relevant answers.

  • Uncover Hidden Patterns: Identify trends and anomalies that might have otherwise remained obscured.

By fostering a deeper understanding of data across the organization, GenAI is revolutionizing how businesses operate and compete in the digital age.

Semantic Layer: The key to accurate, reliable insights

Generative AI is a powerful tool but it comes with its own set of challenges. Before deploying an AI solution, organizations need to address data security, privacy, and consistency, especially one that handles sensitive data. 

The semantic layer translates complex data into familiar business terms, providing a standardized language for understanding and utilizing data across the entire organization. This is essential for ensuring accuracy and reliability of AI-generated insights.

GenAI also ensures AI chatbots, like the one GUESS developed in partnership with MicroStrategy, understand and answer questions correctly. This allows anyone in the company to quickly get the information they need.

How GUESS built a chatbot with MicroStrategy ONE

GUESS, a leading global fashion house, partnered with MicroStrategy to revolutionize their customer analytics using AI chatbots.

guess-chatbot-microstrategy-one.webp

This strategic collaboration empowered GUESS's customer analytics team to delve deeper into their data, uncovering valuable insights that drive:

  • Personalized marketing campaigns

  • Optimized inventory management

  • Enhanced overall customer experience

Rapid Development and Agile Implementation

The development process was remarkably efficient, taking only a few days to create a functional chatbot prototype. This rapid development cycle shows the agility and user-friendliness of the MicroStrategy ONE platform. It showcases its ability to quickly adapt to the specific needs of GUESS's business.

Intelligent AI for Deeper Understanding

MicroStrategy ONE's AI capabilities go beyond simple query processing. It leverages natural language processing (NLP) to understand the nuances of user questions, taking into account:

  • The context of the conversation

  • The user's historical interactions

This contextual understanding enables the chatbot to provide highly relevant and accurate responses, fostering a seamless and intuitive user experience.

Transformative Impact on Business Operations

The impact of this AI-powered chatbot on GUESS's business operations has been transformative. By democratizing access to data insights, the chatbot has:

  • Empowered teams across the organization to make data-driven decisions

  • Increased efficiency

  • Improved customer satisfaction

  • Strengthened the company's bottom line

This successful implementation demonstrates the power of AI-powered analytics to revolutionize businesses and drive meaningful change in the fashion industry.

The GUESS success story is just one example of how MicroStrategy ONE is transforming businesses through AI-powered analytics. Let's explore the key features and benefits that make this platform a game-changer for organizations.

Key features and benefits:

MicroStrategy ONE analytics platform offers a comprehensive suite of features and benefits that make it a game-changer for organizations seeking to harness the power of AI-powered analytics:

  • MicroStrategy Semantic Layer: The Metadata Layer ensures data consistency and accuracy, providing a single source of truth for AI-powered analytics.

  • HyperIntelligence: Delivers contextual insights directly within existing applications and workflows, enhancing decision-making at the point of action.

  • Embedded AI bots: Intelligent assistants integrated into various applications, allowing users to ask questions in natural language and receive instant answers.

  • Automated dashboards: Automatically generates on dashboards and reports based on user queries, saving time and resources for analysts.

  • Data governance and security: Robust governance tools and security measures protect sensitive data sources and ensure compliance with regulations.

  • Context-aware insights: Understands what the user wants and needs when they look at data with data visualizations.

The fusion of AI and BI: Enhancing collaboration and insights

The integration of AI and BI cooperates to offer a holistic view of both the past and the future. This partnership equips organizations and data engineers with unprecedented insights to drive informed decision-making, including: 

  • Predictive insights: AI enhances BI by forecasting future trends using historical data enabling proactive responses to market shifts, customer behavior, and potential risks.

  • Automated analysis: AI streamlines the examination of large datasets, unveiling insights that may elude human review. This rapid pattern recognition enables swift and accurate data-driven decisions.

  • Tailored personalization: AI and BI collaborate to personalize experiences and products based on individual customer preferences, enriching satisfaction levels and fostering customer loyalty.

  • Efficiency optimization: Leveraging business intelligence tools, AI optimizes business operations by pinpointing inefficient practices and proposing improvements. This joint effort results in streamlined processes, cost efficiencies, and heightened productivity levels.

Unlocking the power of AI Analytics with MicroStrategy ONE

MicroStrategy ONE emphasizes a comprehensive approach to AI-powered analytics. It goes beyond augmented analytics by using generative AI capabilities, enabling natural language interactions and automated insights.

The AI-powered platform emphasizes data governance and security a priority, ensuring that AI-generated insights are trustworthy and reliable. Additionally, the platform allows for seamless integration with existing systems and workflows in real time. This makes it a versatile solution for organizations of all sizes.

MicroStrategy ONE combines Business Intelligence and artificial intelligence to provide a comprehensive and efficient way to interact with and understand your data. The platform allows you to:

  • Quickly deploy AI applications: Accelerate your AI initiatives and business decisions without compromising data integrity or data model security.

  • Explore intricate data relationships: Uncover hidden patterns and gain a deeper understanding of your business—and improve customer service.

  • Maintain rigorous data governance: Ensure that your data sets are secure, compliant, and efficiently managed with BI tools.

  • Benefit from flexible, usage-based pricing: Choose a pricing model that meets the needs of the enterprise.

The future of Analytics is now

Ready to help your data analysts and data scientists transform your business with AI-powered Analytics? Explore MicroStrategy ONE and empower your analytics process to drive growth, innovation, and success—and better analyze data. Harness the power of AI-powered workflows, limitless data access, cloud-native architecture, and unmatched performance.


Product Updates
Customer Stories

Share:

Photo of Joseph D. Stec
Joseph D. Stec

Writer and AI professional who explores the interconnectedness of technology, history, and culture. Joseph crafts compelling narratives that bridge the gap between complex concepts and real-world applications.


Related posts

Video: Elevating Business Intelligence: The push for AI integration
Elevating Business Intelligence: The push for AI integration

Discover how AI integration in BI platforms is transforming data into actionable insights, improving decision-making, and driving business growth.

Photo of Lynsey Foote

Lynsey Foote

July 29, 2024

Video: How Gen AI Can Add Value Within Boundaries
How Gen AI Can Add Value Within Boundaries

Many enterprises are excited about the potential for Generative AI (Gen AI) to improve employee productivity and modernize business processes. They are, however, trying to weigh the potential benefits against the risks, still learning how to minimize the latter.

Photo of Lynsey Foote

Lynsey Foote

July 26, 2024

Video: Infusing AI into Your Business Intelligence: Top Takeaways from the Fireside Chat
Infusing AI into Your Business Intelligence: Top Takeaways from the Fireside Chat

AI is being infused into analytics and business intelligence. To better understand why and how, we invited Tech Target’s Mike Leone for a chat. Learn more.

Photo of Lynsey Foote

Lynsey Foote

July 24, 2024

Video: Balancing Robust and Agile: A BI Solution for All
Balancing Robust and Agile: A BI Solution for All

A business intelligence solution that is both sophisticated for the data analyst and intuitive enough for the entire staff requires striking a balance. Leveraging generative AI can bring data-driven insights to anyone who needs them, regardless of their skill level.

Photo of PeggySue Werthessen

PeggySue Werthessen

July 24, 2024

Endless Possibilities. One Platform

Background Image