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Analytics

Why Data Leaders Need to End-to-End Business Understanding

The days of data leaders working in siloes is over. In this clip, Dora Boussias of Stryker explains why, for the modern data strategist, success is found in not only knowing the “bits and bytes” of a company’s data, but by having a holistic understanding of the company’s goals, and knowing how data will help achieve them.

Buy Your Embedded Analytics and Empower Your End-Users With the Right Data

The value of embedded analytics is unmistakable. Application teams that embed dashboards and reports drive revenue, reduce customer churn, and differentiate their software from the competition. While embedded dashboards create real value, they can also come with real costs. These costs are not always visible when companies plan for their analytics offering but can significantly impact production, scale, and the speed of bringing analytics to market.

The 1, 2, 3, of cleansing data

Most organizations experience some level of data quality challenge. Solving data quality challenges and cleansing data can exist in three ways: Data at source: requires business owners and subject matter experts to ensure data quality at the point of entry. It becomes important to identify what data quality issues exist, and identify ways to ensure a certain level of quality before any ETL/ELT takes place.

ETL tool comparison: How to pick the best one? [2023 Guide]

With so many ETL solutions on the market that help you streamline and automate your extract, transform, and load data pipelines, it’s hard to find the best tool for your organization. In this article, we'll simplify your ETL tool comparison by highlighting the best tools on the market right now and outlining seven criteria you can use to decide which one to use. Use this free downloadable checklist and evaluate the best tools yourself.