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Blog

Welcome to Datavail’s Blog, where you can read the latest insights, tips and opinions of our experts on all things data and technology.

Category: Analytics & Business Intelligence

Organize Your Data Lake

Once you have a well-organized data lake, you can begin harnessing innovative capabilities, such AI and ML. Learn more.

Jorge Anicama | October 25, 2022

Your Business: Your AI

Don’t let your ‘AI innocence’ interfere with your decision to embrace it as your next, best corporate investment. Learn more.

Jorge Anicama | October 20, 2022

Data Discovery Drives Business Intelligence

You can’t have superior “Business Intelligence” (BI) without excellent data retrieval, organization, and management. Learn more.

Tobin Thankachen | October 18, 2022

ETL – The First Step in Data Analysis

The fundamental purpose of the ETL process is to release all data values to be available for analysis by corporate data analysts. Learn more.

Tobin Thankachen | October 13, 2022

What You Need to Know About Data Silos, Data Fiber, and Data Mesh

We discuss how data silos get established, why they don’t work today, and how data fiber and data mesh frameworks can help you manage or eliminate them.

Bankim Sheth | September 29, 2022

A Data Management Approach that Supports Data-Driven Decision Making

Learn how data fabric and data mesh can help you make data-driven decisions that lead to buisness success.

Bankim Sheth | September 27, 2022

5 Tips and Tricks for Snowflake Data Warehousing

An overview of 5 tips and best practices for optimizing a Snowflake data warehousing environment to help you get more from your Snowflake platform.

Tobin Thankachen | September 22, 2022

7 Best Practices for Data Governance to Support BI

A data governance program can improve your data quality and business decision-making. Here are 7 best practices that will help you establish an effective program.

Bankim Sheth | September 15, 2022

Less is More: The Benefits of Streamlining Your Data Integration Workflow

Many businesses can realize significant advantages from streamlining their data integration pipelines, and trimming away unnecessary tools and services.

Tobin Thankachen | September 8, 2022
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