2018 Data Quality Visualization 
ElegantJ BI
SEPTEMBER 6, 2019
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.
ElegantJ BI
SEPTEMBER 6, 2019
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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ElegantJ BI
SEPTEMBER 6, 2019
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.
Tableau
JANUARY 27, 2021
Tableau lets you visualize and explore all of your data without having to write code or premeditate your vizzes and dashboards. We also reached some incredible milestones with Tableau Prep, our easy-to-use, visual, self-service data prep product. Read the 2021 report for Gartner analysis.
Data Pine
OCTOBER 25, 2022
With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. Making this publication one of the greatest business data analytics books out there.
Astera
FEBRUARY 26, 2024
Scalability: As businesses grow and generate more data, Azure ETL tools can easily handle the increased volume and complexity of data. Data Quality : Azure ETL tools offer built-in data cleansing and validation capabilities, ensuring that the data loaded into Azure Data Warehouse is accurate and reliable.
Astera
OCTOBER 12, 2023
In 2018, Samsung Securities incurred a cost of $105 billion when an employee issued 2 billion shares to 2,018 company employees instead of dividends totaling 2 billion won (South Korean currency). The platform also allows you to implement rigorous data validation checks and customize rules based on your specific requirements.
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