TDWI: Analytics and BI

Explore Advanced Analytics and BI Content

Enterprises need to know more than just the "what"; they need to know the "why" and the "what's next." Advanced analytics allows users to examine and manipulate data to drive positive business results. Armed with advanced analytics insights, business users can make well-informed, fact-based decisions. Business analytics includes advanced techniques that work with big data, including predictive and prescriptive analytics, spatial analytics, and text mining -- all in a data-driven culture.

This section also includes discussions about modern data types (such as geocoding and streaming data), getting the most from unstructured data, how to automate decisions, the need for data literacy and analytics training, and trends in real-time analytics -- everything you need to know to make the best decisions for your bottom line.

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Webinars

Building AI You Can Trust: Driving Business Value with Data Quality, Observability, and Governance
Join this webinar featuring experts from Alation, Monte Carlo, and Databricks to discuss how these three core elements can help businesses derive maximum value from their AI initiatives, what this involves, and how to incorporate these concepts into your data ecosystem. December 12, 2024 learn more
Building Private RAG and AI Agents on Your Data
Join this TDWI webinar with experts from you.com and Databricks to learn more about building private RAG and AI agents. December 11, 2024 learn more
Beyond the Data Warehouse: Accelerate Your Analytics Evolution
Join us for this executive-level webinar, where we'll discuss how Snowflake's unified platform is transforming the analytics landscape for its customers. December 10, 2024 learn more
Expert Panel: Real-Time Analytics Use Cases and Architectures
In this expert panel, TDWI senior research director James Kobielus will discuss the chief enterprise use cases for real-time analytics and the principal architectural considerations for data, analytics, and IT professionals seeking to optimize their infrastructures for these applications. December 9, 2024 learn more
Modernizing the Data Environment for AI: Building a Strong Foundation for Advanced Analytics
Join Fern Halper, TDWI’s VP of research, and Tim Long, Global Head of Manufacturing, GTM at Snowflake, as they discuss the modern data environment needed to support advanced manufacturing use cases such as supply chain analytics. November 7, 2024 learn more
Expert Panel: Data Collaboration and Sharing
Join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of how modern organizations collaborate around shared data and thereby use analytics-infused insights to produce business results. November 4, 2024 learn more

TDWI Webinars

Research & Resources

Driving Business Impact: Real-World Applications of Real-Time Data & AI
Download today for valuable insights into how modern data strategies can lead your business to success. learn more
TDWI Digital Dialogue | The Role of Trusted Data in Generative AI
As organizations continue their journey to generative AI, new challenges around data trust and quality will emerge. learn more
IDC Spotlight: Boosting AI Impact with Data Products
Download this resource to learn more about the shift from digital transformation to AI-driven digital business. learn more
Building a Trusted Data Foundation for AI/ML and Business Intelligence (BI)
With high-quality, timely data for your business intelligence and AI/ML initiatives, you can improve business efficiency, mitigate risks, enhance the customer experience, and improve insights for better business outcomes. learn more
TDWI Insight Accelerator | Using AI to Accelerate Retail to the Speed of the Consumer
This TDWI Insight Accelerator focuses on how artificial intelligence (AI) can help retailers and CPG companies to stay competitive, delight customers, and accelerate their delivery of innovative new products and services. learn more
Unifying WhereScape with Databricks
This paper outlines how Databricks’ unified data platform and WhereScape’s automation can streamline workflows, enhance operational efficiency, and pave the way for advanced analytics and AI-driven insights. learn more

TDWI Research

Podcasts

Adding Corporate Data to LLMs with Nicolas Decavel-Bueff May 28, 2024
Real World Techniques for Machine Learning with David Langer May 14, 2024
Machine Learning with Keith McCormick May 1, 2024
Data Platforms for AI and ML with Richard Winter April 15, 2024
AI Strategy with Caroline Carruthers April 2, 2024
Part Three: Reducing Time to Insight and Maximizing the Benefits of Real-Time Data with Philip Zelitchenko March 29, 2024

TDWI Podcasts - Speaking of Data

Upside Articles

Curb Your Hallucination: Open Source Vector Search for AI
Here’s why vector search is increasingly critical to AI success, and how open source can fit into that equation. October 18, 2024 read more
4 Practical Tips to Create Value with AI
Setting realistic expectations and taking lessons from previous tech trends can help you plan for successful AI programs. September 26, 2024 read more
Is Your Data AI-Ready?
The path to AI-driven innovation is paved with data readiness. These three indicators provide a quick data readiness assessment. July 31, 2024 read more
Artificial Intelligence Versus the Data Engineer
Does generative AI change the role of the data engineer? As the demand for AI skyrockets, so does the demand for data and data engineering. July 24, 2024 read more
AI Readiness with Fern Halper
TDWI’s Fern Halper explains what enterprises need to do to prepare for AI and introduces initial results from TDWI’s AI Readiness Assessment. July 11, 2024 read more
Q&A: Enhancing Analytics with AI
Machine learning, large language models, and AI are having an impact on analytics. Case in point: Heather H. Wilson, CEO of CLARA Analytics, explains how her company is putting AI to work in the insurance industry. July 11, 2024 read more

TDWI Advanced Analytics and BI Articles

Team Training

Hands-On: Linear Regression Made Easy with Excel
Whether you are an Excel-based analyst looking to improve your skills or a manager interested in understanding the linear regression models produced by analytics teams, this is the class for you. learn more
Hands-On: Business Analysis for Everyone with Excel—Becoming a Data Detective Made Easy
In this class you will learn all the fundamentals of robustly analyzing business data using Excel. No fancy Excel functions or complex calculations are required—we promise! learn more
TDWI Predictive Analytics Principles and Practices
Analytics is a hot topic, but also a complex one. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity—unstructured data, big data, social data, data streams, and more. learn more
TDWI Predictive Analytics Principles and Practices
Analytics is a hot topic, but also a complex one. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity—unstructured data, big data, social data, data streams, and more. learn more
TDWI Analytics Principles and Practices: Delivering Business Insight from Data
Analytics is a hot topic, but also a complex one. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity—unstructured data, big data, social data, data streams, and more. learn more
TDWI Analytics Principles and Practices: Delivering Business Insight from Data
Analytics is a hot topic, but also a complex one. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity—unstructured data, big data, social data, data streams, and more. learn more

TDWI Team Training

TDWI Transform West Las Vegas

TDWI Data Modeling: Data Analysis and Design for BI and Analytics Solutions
This data modeling techniques course explores different situations facing data modeling practitioners and provides information and techniques to help them develop the appropriate data models. learn more
TDWI Predictive Analytics Principles and Practices
This course introduces the building blocks needed to implement predictive capabilities within an organization. It also helps develop the necessary understanding about how models, people, and decision processes must interact to drive actual business impact. Techniques based on statistics, probability, linear regression, logistic regression, and decision trees are described as key enablers for creating predictive models. learn more
AI & Digital Fluency: Preparing Your Data Team for the Future
Digital transformation is creating a world where businesses must test new, exponential strategies such as generative AI while maintaining incremental business functions to stay current. learn more
Hands-On: Data Analysis with R
This workshop will lay a solid foundation that will enable the attendee to explore more advanced topics in R. learn more
Modern Data Warehouse Platforms and Architectures for the Cloud
This course will give you the technical reasons why scaling up is sometimes easy and sometimes very hard—at a level that architects, strategists, and decision makers can understand. You need this understanding to choose the best platform for your cloud data warehouse or workload—and to avoid platform mistakes that can be catastrophic. learn more
Hands-On Introduction to Customizing Large Language Models (LLMs)
In this hands-on course, you will be provided with the fundamentals to “talk with your data” by understanding and effectively implementing an LLM in an information-retrieval, question-answering use case. learn more
Data Science Bootcamp // An Overview of Data Science
This course defines data science, describes how it is similar to and different from related analytics disciplines, and covers key concepts every business stakeholder and data scientist needs to know. You will learn how a data science program is organized, the roles of key participants, and the major stages of data science projects. learn more
Strategy and Governance for AI: Planning Sustainable and Responsible AI Solutions
This half-day course will cover the fundamentals of AI strategy development and AI governance, providing participants with a practical framework to implement responsible AI in their organizations. learn more
Modern Data Platforms and Architectures for Advanced Analytics, AI, and Machine Learning at Scale
In this course, you will learn how to select a data platform that meets the unique requirements of your organization for artificial intelligence (AI), machine learning (ML) and advanced analytics. learn more
Data Science Bootcamp // Data Sourcing and Preparation for Data Science
This course provides an overview of the data sourcing and preparation activities in data science and predictive analytics projects, highlighting key principles and practices and providing business examples to reinforce each concept. learn more

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