Advisory-Corp. ’s Post

As businesses navigate through a data-driven landscape, staying updated on the latest trends in business analytics is crucial for success. Here are some key insights: AI and Machine Learning Integration: AI and ML continue to revolutionize business analytics, enabling predictive insights, automation, and enhanced decision-making. Advanced Data Visualization: With tools like Tableau and Power BI, businesses are diving deeper into data visualization to extract actionable insights and communicate findings effectively. Real-Time Analytics: The demand for real-time data analysis is on the rise, empowering businesses to make immediate adjustments and seize opportunities as they arise. Predictive Analytics for Personalization: Leveraging predictive analytics, businesses can tailor products, services, and marketing efforts to individual customer preferences, enhancing the customer experience. Ethical Data Usage: As data privacy concerns grow, businesses are placing greater emphasis on ethical data usage, ensuring compliance with regulations and building trust with customers. Augmented Analytics: Augmented analytics tools are becoming more prevalent, assisting business users in generating insights without the need for extensive data science expertise. Stay ahead of the curve by embracing these trends and unlocking the full potential of business analytics! 💼💡 #BusinessAnalytics #DataDrivenDecisions #AI #MachineLearning #DataVisualization #PredictiveAnalytics #EthicalDataUsage #AugmentedAnalytics

If businesses start leveraging Enterprise AI platforms to automate workflows at scale... Will the need for data teams doing data reporting and analytics still be present? Or will these Enterprise AI platforms contain out of the box reporting that eliminates this need? Will data teams need to find other avenues for value creation and ROI? Just doing some reading on AI this afternoon and trying to consolidate my thoughts. An interesting future ahead for data teams trying to prove their business value. #dataanalytics #value

In the relentless pace of today's business world, each decision can be pivotal. But against an endless stream of data and a complex decision-making landscape, how can companies ensure their choices are swift but also innovative and strategic? Enter the game-changer – Decision Intelligence (DI). 🚀 DI marries data analysis, machine learning, and decision automation. It is a multidisciplinary approach that enables organizations to wield data to make informed, large-scale decisions. Unlike traditional business intelligence, which is reflective, DI forecasts future outcomes by synthesizing historical information with real-time insights, paving the way for proactive, data-driven decision-making. Though 'Decision Intelligence' may be a fresh term, its principles have directed the strategy of forward-thinking enterprises for years. My latest post explores how DI reinvents business approaches and lays the foundation for future industry pioneers. From Data Analysis to Decision Intelligence The increasing intricacy and volume of data have propelled the transition to DI. Data analysis has traditionally centered on understanding the 'what' and 'why' through descriptive and diagnostic analytics. Today, we harness AI and sophisticated analytics not only to predict the future with predictive analytics but also to recommend optimized actions through prescriptive analytics and, importantly. It helps us with how we develop our "next best action" models. Decision Intelligence isn't just the new Business Intelligence; it's a step above – actionable, dynamic, and future-focused, turning raw data into a strategic goldmine. The Pillars of Decision Intelligence To comprehend DI fully, we must consider its fundamental elements, which include: - Data Management and Integration: Establishing trustworthy, current, and pertinent data. - Advanced Analytics and Insight Generation: Leveraging cutting-edge technologies for extracting and understanding deep insights. - Business Processes: Standardised, documented business procedures need to be ready to unlock the power of technology in Decision Intelligence. - Business Process Automation: Implementing AI and ML to automate and guide decisions, completing the intelligent decision-making framework. What are your experiences of delivering the critical things to unlock the power of Decision Intelligence? 👓✨ #DecisionIntelligence #BusinessIntelligence #DataAnalytics #MachineLearning #AI #StrategicDecisions #BusinessStrategy #Innovation

**What if you could empower your business with data agents that act like AI-powered assistants, driving smarter decisions at lightning speed?** Snowflake has just unveiled **Snowflake Intelligence**, a revolutionary platform that allows businesses to create AI-powered data agents. This breakthrough empowers enterprise users to analyze, summarize, and act on data more effectively than ever before, redefining what’s possible for AI in enterprise environments. Stay ahead of the curve and learn how this innovation is set to transform industries. **[Are you ready to redefine your data strategy? Let’s discuss in the comments!]** #AI #EnterpriseAI #DataAnalytics #Snowflake #Innovation #DataAgents #ArtificialIntelligence #BusinessGrowth #DigitalTransformation

💻 Data is the lifeblood of modern enterprises, driving quick, informed decisions at every level. With AI-enhancing analytics, nearly 87% of businesses are reaping its benefits. However, the complexity of data integration remains a challenge. Discover how a modern data fabric can streamline your processes and unlock new revenue streams. Our latest white paper explores how ISVs and data providers can revolutionize data management with advanced AI and data governance strategies. 📊 Ready to transform your data landscape? https://bit.ly/3SJAznB #EnterpriseAI #DataIntegration #FinanceInnovation

Reaching out to Marketing, Product, Data executives and CXOs - thanks for checking us out! Datavox: www.datavox.ai is a software platform based on Generative AI that converts unstructured data to structured data, giving companies access to the 80% of their data that has never been analyzed. Now, with Datavox, every company can add 4 times more data to their decision-making. We impact all strategic product, brand and directional decisions. The ROI is both objective ($$) and subjective ( voice of the customer).  

🌟 In today's data-driven world, simply collecting and analyzing data isn’t enough to stay competitive. What organizations need is the ability to transform data into actionable decisions. This is where Decision Intelligence (DI) comes in—a powerful framework that integrates data, AI, and human insights to drive smarter business outcomes. 💡 What is Decision Intelligence? 🤔 Decision Intelligence is a discipline that combines data science, social science, and management theory to improve decision-making processes. It doesn’t just focus on delivering insights but on creating a system that helps businesses make informed, timely, and context-driven decisions. 🎯 By doing so, it addresses the “decision gap”—the disconnect between data insights and business actions. Why Does it Matter? 💼 While traditional analytics can tell you what happened, DI helps businesses answer why it happened, what could happen next, and most importantly, what to do about it. It goes beyond dashboards and reports, offering tools to simulate outcomes and explore scenarios, so organizations can forecast the impact of different decisions before they’re made. 🔮📊 How Does it Work? ⚙️ At its core, Decision Intelligence involves: Data Integration: Gathering data from diverse sources. 📚 Advanced Analytics & AI: Using machine learning, AI models, and algorithms to uncover trends, patterns, and predictions. 🤖📈 Human Judgment: Incorporating domain expertise and strategic input to refine outputs. 🧠 Actionable Decisions: Translating the findings into concrete, real-world actions. ✅ The Future of Business Decision-Making 🌍 As organizations grow in complexity, leveraging DI becomes essential for navigating uncertainty and complexity. 🌐 Whether it’s in finance, healthcare, or retail, companies that adopt Decision Intelligence will stand out by making faster, more informed, and strategic decisions that yield measurable business value. 📊✨ In an era of increasing complexity, Decision Intelligence is transforming the way we approach problem-solving and business strategy. 💼💡 #DecisionIntelligence #AI #BusinessTransformation #DataAnalytics #FutureOfWork

💻 Data is the lifeblood of modern enterprises, driving quick, informed decisions at every level. With AI-enhancing analytics, nearly 87% of businesses are reaping its benefits. However, the complexity of data integration remains a challenge. Discover how a modern data fabric can streamline your processes and unlock new revenue streams. Our latest white paper explores how ISVs and data providers can revolutionize data management with advanced AI and data governance strategies. 📊 Ready to transform your data landscape? https://bit.ly/3YDoi7O #EnterpriseAI #DataIntegration #FinanceInnovation

🌟 Unveiling the Future of Data Value Creation 🌟 Ever felt like your data's potential is just out of reach? Meet Delight - our game-changer in data product management software, ready to revolutionize the way you showcase your data's business impact. With Delight, transform your data into measurable achievements. Elevate your competitive advantage by mastering scalable data value creation. Illuminate your data and AI initiatives' business impact, enhancing transparency, boosting ROI, and reducing costs in one fell swoop. 🚀 Dive into the Delight experience with our FREE trial and embark on a transformative data journey. Your data's true potential awaits. Are you ready to unlock it with Delight? Learn more -> https://lnkd.in/dYnFaBeY www.mindfuel.ai. #IntoDelight #dataproductmanagement #datastrategy #innovation #AI

😪 With a mix of reflection and a look ahead, we share the news of our trusted companion's departure from the world of data visualization and business intelligence, the traditional Dashboard. Once the peak of BI tools, designed to light up the vast seas of data in the modern world, the traditional dashboard has given in to the pressures of increasing data volumes and the need for more intuitive, real-time analysis. Rest in peace, traditional dashboard; your legacy will not be forgotten. The merits of the traditional dashboard, however, will be carried on by its successors. Microsoft Fabric emerges as the next-level data analytics platform 🤸♀️, with Power BI standing out within its structure. Here, the spirit of the traditional dashboard will continue, transformed and integrated into a future where insights are not just generated but are intuitively delivered. 😮 On top, the introduction of Copilot for Microsoft Power BI signifies a significant change, as users can now ask Copilot to craft interactive dashboards, moving beyond the limitations of the past. Looking ahead, the future promises notifications for recommended actions, further streamlining decision-making. High time to explore AI's potential in shaping a bright business future instead 🤗 This article “Are dashboards dead” by Joep Lugtenberg is on page 26 of our Digital Maturity Report 2024: the AI edition. Download your copy here: https://lnkd.in/e6Msivyb