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What is SSDP and Can it Truly Make Analytics Self-Serve?

ElegantJ BI

Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, these IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

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What is SSDP and Can it Truly Make Analytics Self-Serve?

ElegantJ BI

Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, these IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

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What is SSDP and Can it Truly Make Analytics Self-Serve?

ElegantJ BI

IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users. ’ 2017 has certainly proven this to be true, as businesses embrace the value of self-serve data preparation and analytics tools.

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Top 7 Data Validation Tools to Explore in 2023

Astera

million to the US government when their lack of proper screening mechanisms led to 500 PayPal transactions worth $44,000, violating sanctions against Iran, Cuba, and Sudan. The platform also allows you to implement rigorous data validation checks and customize rules based on your specific requirements. In 2015, PayPal had to pay $7.7

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The Best Fivetran Alternatives in 2024

Astera

As far as the destinations are concerned, Fivetran supports data warehouses and databases, but it doesn’t support most data lakes. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool. Change data capture (CDC) for all relational databases in one platform.

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The Importance of Transparency in Document Processing Automation 

Astera

Poor data quality can lead to biased or inaccurate results, undermining the system’s transparency and fairness. Provide explanations: A good AI-based document processing system provides explanations for its decisions, including providing visualizations or explanations of the features that the model is using to make decisions.