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Avoid These Mistakes on Your Data Warehouse and BI Projects

Dataversity

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

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Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3

Dataversity

In Part 1 and Part 2 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […].

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Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 2

Dataversity

In Part 1 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […].

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Data architecture strategy for data quality

IBM Journey to AI blog

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Reduce data duplication and fragmentation.

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Top 10 Reasons for Alation with Snowflake: Reduce Risk with Active Data Governance

Alation

With Snowflake, data stewards have a choice to leverage Snowflake’s governance policies. First, stewards are dependent on data warehouse admins to provide information and to create and edit enforcement policies in Snowflake. Alation’s deep data profiling helps data scientists and analysts get important data profiling insights.

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Data Catalog First, Master Data Management Second: Here’s Why

Alation

Transactional systems and data warehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management. Using the catalog to review data profiles can help discover other potential quality concerns.

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

Data Profiling and Data Analytics Now that the data has been examined and some initial cleaning has taken place, it’s time to assess the quality of the characteristics of the dataset. You can even connect directly to 20+ data sources to work with data within minutes.