Data Quality Embedded Analytics Events 
Domo
JULY 1, 2021
As you review new features, consider where your data has potential for exposure. With every new feature that is released, from low-code apps to cloud data warehouse integrations to embedded analytics, Domo bakes in ongoing review of security standards to ensure security compliance.
Tableau
DECEMBER 7, 2020
The chain of events triggered by the public health pandemic that dealt shockwaves like we’ve never seen are still reverberating today. Aside from investing in data skills, business leaders must also look into developing a more holistic data strategy as they increasingly incorporate data in their business processes.
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Domo
JULY 8, 2021
Cloud-based integration platforms can compress development cycles by incorporating new data sources and users quickly, and by adding governance and certification processes. Look for metadata management capabilities and ways to ensure data quality.
Tableau
DECEMBER 7, 2020
The chain of events triggered by the public health pandemic that dealt shockwaves like we’ve never seen are still reverberating today. Aside from investing in data skills, business leaders must also look into developing a more holistic data strategy as they increasingly incorporate data in their business processes.
Sisense
FEBRUARY 10, 2021
The old adage “garbage in, garbage out” rings very true when it comes to data analysis, and we had to do a number of things to verify that the data entering the Cascade Insight platform was clean. It started with implementing data validation rules, including basics like only accepting numbers for numerical inputs, etc.
Data Pine
NOVEMBER 27, 2019
Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.
Insight Software
MAY 9, 2024
ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. Data pipelines enable data integration from disparate healthcare systems, transforming and cleansing the data to improve data quality.
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