David Menninger's Analyst Perspectives

MicroStrategy World Showcases the Power of One Platform

Posted by David Menninger on May 23, 2023 3:00:00 AM

MicroStrategy is a long-standing business intelligence and analytics vendor that operates worldwide. Founded in 1989, this publicly traded company with hundreds of millions of dollars in revenue recently held its first in-person conference since prior to the pandemic. Similar to previous in-person events, the event was well attended by about 2,000 attendees and exhibitors. The theme, “MicroStrategy One,” is a way to explain the breadth of capabilities the company offers. The breadth of the product offering is one of the company’s greatest strengths, but also one of its biggest challenges.

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Topics: embedded analytics, Analytics, Business Intelligence, Digital Technology, natural language processing, Analytics & Data

Large Language Models Take AI World By Storm

Posted by David Menninger on May 17, 2023 3:00:00 AM

Artificial intelligence (AI) has evolved from a highly specialized niche technology to a worldwide phenomenon. Nearly 9 in 10 organizations use or plan to adopt AI technology. Several factors have contributed to this evolution. First, the amount of data they can collect and store has increased dramatically while the cost of analyzing these large amounts of data has decreased dramatically. Data-driven organizations need to process data in real time which requires AI. In addition, analytics vendors have been augmenting business intelligence (BI) products with AI. And recently, ChatGPT has raised awareness of AI and instigated research and experimentation into new ways in which AI can be applied. This perspective, the second in a series on generative AI, introduces some of the concepts behind ChatGPT, including large language models and transformers. Understanding how these models work can help provide a better understanding of how they should be applied and what cautions are necessary.

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Topics: Analytics, Digital Technology, natural language processing, AI & Machine Learning, Analytics & Data

Generative AI Ushers in a New Age of Content and Model Creation

Posted by David Menninger on Apr 25, 2023 3:00:00 AM

Generative AI is a class of artificial intelligence used to generate new, seemingly real content. Broadly speaking, AI has traditionally been used to identify patterns in data and apply those patterns to categorize and predict behaviors. For instance, it can organize customers into groups (or clusters) with similar characteristics, or predict which customers are most likely to respond to certain offers.

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Topics: Analytics, Digital Technology, AI & Machine Learning

Make Better Decisions with Collaborative Analytics

Posted by David Menninger on Apr 19, 2023 3:00:00 AM

In my perspective on decision intelligence, I lamented the fact that business intelligence technologies have left the rest of the exercise to the reader for too long. Making a decision is a process that involves many steps and many people. Decision-making is so complicated and divorced from day-to-day business processes that organizations have had to create entirely separate teams to focus on the analytics and data to support it. One aspect of the decision-making process that can be enhanced by technology is collaboration.

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Topics: Analytics, Business Intelligence, Digital Technology, Analytics & Data, Collaborative & Conversational Computing

Sigma Computing Makes Cloud Analytics More Accessible

Posted by David Menninger on Apr 13, 2023 3:00:00 AM

Organizations are becoming increasingly aware of the potential value that can be gained by processing big data. As data sources grow, it becomes important to have tools and methods to effectively process, analyze and visualize this information from disparate systems and warehouses.

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Topics: business intelligence, embedded analytics, Analytics, Streaming Analytics

Tellius Enables Decision Intelligence

Posted by David Menninger on Mar 23, 2023 3:00:00 AM

Organizations are continuously searching for new business opportunities hidden in their data. They are using various technologies including artificial intelligence and machine learning (AI/ML) to uncover granular insights that can support decision-making. Existing tools and dashboards are effective for observing standard metrics; however, they do not address follow-up questions, such as why things are happening or how those events impact performance. Organizations also struggle to derive complete value from big data. Our Analytics and Data Benchmark Research shows that only 1 in 5 organizations are very confident in their ability to analyze large volumes of data.

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Topics: Analytics, Business Intelligence, natural language processing, AI & Machine Learning, Decision Intelligence

Hitachi Vantara DataOps Improves Analytics and Decision-Making

Posted by David Menninger on Mar 21, 2023 3:00:00 AM

Now more than ever, effective data management is crucial to enable decision-makers to better assess information and take calculated actions. It is also important to keep up with the latest trends and technologies to derive higher value from data and analytics and maintain a competitive edge in the market. However, every organization faces challenges with data management and analytics. And as organizations scale, the complexity only increases, creating a need for better data governance, data quality and streamlined and automated processes. DataOps can help solve many of the challenges organizations encounter when trying to unlock the power of data by expanding data use to various parts of an organization. Hitachi Vantara offers DataOps technology that enables organizations to improve data agility and automation. It provides cloud-ready infrastructure, advanced data management software and a broad range of support services.

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Topics: Analytics, Data Governance, Data Management, Data, data operations, analytic data platforms

Wiiisdom Automates Analytics Operations for Trusted Analyses

Posted by David Menninger on Mar 15, 2023 3:00:00 AM

Data analytics provide valuable insights and enable organizations to make better decisions, improve performance and gain a competitive advantage in the marketplace. Analytics can change frequently depending on the data being analyzed and the methods used to gather and process it. Factors such as new data, changes in the underlying systems or updates to algorithms can all contribute to differences in an analysis. AnalyticOps helps ensure data is accurate, up-to-date and consistent across different systems and teams, and that analytical models are robust, reliable and continuously improved.

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Topics: embedded analytics, Analytics, Business Intelligence

Advanced Analytics Enable More Informed Decision-Making

Posted by David Menninger on Feb 16, 2023 3:00:00 AM

I’ve previously written about the analytics continuum, which spans a range of capabilities including reporting, visualization, planning, real-time processes, natural language processing, artificial intelligence and machine learning. I’ve also written about the analysis that goes into making intelligent decisions with decision intelligence. In this perspective, I’d like to focus on one end of the analytics continuum, which I’ll label advanced analytics.

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Topics: Analytics, Digital Technology, AI & Machine Learning, Analytics & Data

Prevedere Provides Predictive Insights with Analytics and Planning

Posted by David Menninger on Jan 24, 2023 3:15:00 AM

Markets have been more volatile than ever. It creates a need for decision makers to utilize technologies such as artificial intelligence and machine learning (AI/ML) to better understand the external factors that impact their business. By identifying these factors, organizations can better plan for changing market environments and seize market opportunities. However, manual modeling is a time-consuming process and results in a limited number of models and tests. Also, updating those models is slow and laborious. With the addition of market volatility, it creates multiple challenges for CFOs, managers and financial planning specialists. With limited exposure to external drivers of demand and delivery, the process becomes very costly. Developing accurate forecasts requires integrating exogenous data with the internal performance data, but it’s challenging to find quality external data and then get that raw data clean enough to input into any model. My colleague, Robert Kugel, recently shared his perspective on using external data for forecasting, budgeting and planning to enhance predictive capabilities.

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Topics: embedded analytics, Analytics, Business Intelligence, AI & Machine Learning