Enhancing Data Quality for Better Decision-Making: Real-World Case Study

January 30th, Thursday

10:00 - 10:30 AM PT

Are data quality challenges impacting your business decisions? In the data-driven world today, businesses heavily rely on data to make informed decisions, whether it is forecasting future trends, analyzing consumer behavior or optimizing processes. Despite the advancements in data analytics, many enterprises still struggle with inconsistent and inaccurate data. This leads to poor decision making and thus many missed opportunities for businesses. 

Join us for an upcoming episode of EncoraTalks where our data expert showcases how to enhance data quality within your existing pipeline by leveraging tools like Great Expectations. Through an in-depth discussion of key concepts and a real-world case study, you will learn the approach and tooling capabilities that can ensure data integrity, foster trust, and seamlessly integrate into your existing pipeline, helping you make better business decisions. 

The Speaker

Carlos Siches

Carlos Siches

Senior Data Engineer

Carlos Siches is a Senior Data Engineer with over 10 years of experience in designing and implementing data architectures. Based in Lima, Peru, he specializes in building Data Warehouses using SQL Server, BigQuery, Redshift, and Oracle, and creating Data Lakes with S3 and Cloud Storage. His expertise includes data transformation tools like SSIS, DBT, and Python, as well as orchestration frameworks such as Airflow. Carlos is also a certified Databricks Data Engineer Associate.

Why Attend?

Discover strategies to improve data reliability for better decision-making

Learn from a real-world case study on tackling data inconsistencies

Understand how to use tools like Great Expectations to ensure data quality