How does DAMA define Data Governance?
DAMA defines data governance as “the exercise of authority and control (planning, monitoring, and enforcement over the management of data assets.”
How does DAMA/AICPA define Data Analytics?
What is the definition of Data Science and Data Scientist?
Data Science is the field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. Data Scientists are experts trained to collect large amounts of data. They analyze and interpret their findings and then communicate the results to business or government officials.
How powerful is Data Warehousing and Business Intelligence?
A data analytics warehouse stores historical and current data in a structured format optimized for complex querying. It is then connected to Business Intelligence tools to generate reports, including forecasts, trends and variances.
Data Governance, Audit Analytics and Election Data
Our Strengths
Assist in maturing your Data Governance for your election system
Our Capabilities
Delivering measurement and monitoring through Audit Data Analysis
Election Intelligence in Arizona
For 3 years, we have been seeking the truth about Maricopa County and Arizona election data. The truth is in the data, and the truth will set you free. As President Ronald Reagan said about nuclear arms treaties, trust but verify. But the bureaucrats won’t let us verify. They are keeping the data concealed, away from the public, denying legitimate requests for data, using endless privacy and security excuses, telling us audits are too expensive. We won’t be told what to believe by people who are concealing the truth.
So, we did our own deep dive into all the data permitted by the bureaucrats. This professional business intelligence approach turned data into information. Insights and answers are clear. We want to make sure the lessons learned from the prior elections are used to the maximum benefit in the 2024 elections and beyond.
TL316 Analytics, a team of election intelligence experts volunteering our time, created an end-to-end audit, with Maricopa County data and over 3000 hours of data analysis. This is not a random drive by effort. We’ve looked at every voting center, almost 100 million rows of Arizona election data since 2020. Using leading edge technology far beyond an Excel spreadsheet, we created a business intelligence data warehousing model that is structured, repeatable, and scalable – a template for future elections. Applying analytics with utmost rigor, the data was sliced and diced a myriad of ways to come up with actionable insights.
Help us get this insight into the right hands so future election results will reflect the truth.

Dustin Landagora
TL316’s Founder was formerly the Information Architect for the Maricopa Community College District for 20+ years, trained in Oracle and Microsoft enterprise database technologies. His educational background was in accounting / finance and that led to an early career in being an implementor of accounting systems as well as a software quality assurance manager for several oil and gas accounting software companies. Systems and processes that are reliable and hardened has always been at the heart of his Information Technology career endeavors.
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