Mike Sargo, Author at Data Ideology - Page 3 of 9

Mike Sargo Articles & Insights

Trust Is an Operational Discipline

Trust is created through the daily operating discipline behind the platform: ownership, quality checks, clear definitions, change control, documentation, issue resolution, and accountability.

Snowflake Does Not Create Confidence. Discipline Does.

Snowflake can return the query. It cannot make people believe the answer. That belief is earned through discipline: consistent definitions, reliable processes, accountable owners, quality checks, change control, and operational follow-through. Too many organizations mistake platform performance for business confidence. They assume that because Snowflake is fast, scalable, and modern, the data coming out of […]

What is a Data Strategy & Why is it Important?

In 2023, companies need a data strategy more than ever as the landscape of data management and analysis continues to evolve and become increasingly more complex.

The Benefits of Data Lakes for Financial Services

Data lakes are centralized repositories of data that are helpful for compliance purposes, performing forecasts, risk assessments, and understanding customer behavior.

The Benefits of Data Warehousing in Finance

A data warehouse is a storage system that enables you to track crucial data points over time and analyze them to run your financial operations smoothly and make sound decisions. 

Data Strategy Assessment: Current and Future State Analysis

By performing a data strategy assessment, you can answer critical questions about the data’s current state and its future state development.

How to Build a Data Strategy Roadmap

A data strategy roadmap is a step-by-step guide to what needs to be done to achieve your desired business goals.

Mothers in Tech: Design your Own Work-Life Balance

DEI

The sad reality for Mothers in Tech is that 72% feel their careers still suffer due to childcare & family responsibilities.

Enterprise Data Strategy: What is it? And why is it important?

Companies that utilize enterprise data strategy, are 58% more likely to surpass revenue goals when compared to non-data-driven competitors.