23:51
Storing and modeling data to service dynamic business needs
Thorogood
26:22
Considerations for Front End Tool Selection
24:07
Amplify your analytics investments by empowering users
24:14
Defining processes to enable proper governance
27:19
An agile approach to Business Intelligence & Analytics development
27:56
Developing A Data Lake Vision
13:18
Thorogood's Reporting & Analytics Hub
21:43
Power BI Governance
22:24
Powerful Cloud Pairings Anaplan with Microsoft Azure and Power BI
19:36
Integrating your Supply Chain using BI & Analytics
18:15
Understanding your Cyber Vulnerabilities
20:23
Introduction to Qlik
21:12
Databricks for Data Engineering
22:02
DevOps, DataOps and Data Factories
21:26
Adopting DevOps with Amazon Web Services
27:09
Bringing Advanced Analytics to the Business
32:14
Enabling Self Service Analytics
28:31
Business Intelligence for Revenue Management
25:54
Choosing a Data Viz
29:22
Introduction to Automated Testing in Modern Data Architectures
18:56
Automating for Self-Service with Data Lakes
17:23
Master Data Management in the Cloud
23:05
Self Service Taken to the Next Level
24:50
Business Intelligence as a Service
31:37
Analytics Organization Structures
23:56
Working with Private Data
25:38
The Top 10 Things to Know About IBM Planning Analytics
27:25
Data Governance with Azure Purview
10:23
RandA Hub
31:54
Data Governance for Organizational Effectiveness and Security
17:51
Data Governance and Lineage for Data Platforms
30:52
What's New in Power BI
16:34
Scale Your Data Ingestion With an Ingestion Framework
41:55
Amazon Web Services for BI & Analytics
2:11
Thorogood BI and Analytics Continuum
23:03
Empowering Users - Thorogood BI & Analytics Update
34:14
Time to Think About a New BI & Analytics Operating Model
21:58
Architecting for BI & Analytics with AWS