Data Analytics Data Management Data Quality Retail 
Smart Data Collective
SEPTEMBER 28, 2022
quintillion bytes of data are generated each day? Businesses are having a difficult time managing this growing array of data, so they need new data management tools. Data management is a growing field, and it’s essential for any business to have a data management solution in place.
Astera
MAY 31, 2024
Data Science vs. Data Analytics Organizations increasingly use data to gain a competitive edge. Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. In contrast, data science enables you to create data-driven algorithms to forecast future outcomes.
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Astera
NOVEMBER 27, 2023
Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.
Astera
JANUARY 25, 2024
This facilitates the real-time flow of data from data warehouse to reporting dashboards and operational analytics tools, accelerating data processing and providing business leaders with timely information. Use Cases Data warehousing, business intelligence, reporting, and data analytics.
Astera
MAY 30, 2024
What Is Data Analytics? Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. Data Mining : Sifting through data to find relevant information.
Data Pine
JANUARY 24, 2021
This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?
Astera
MARCH 11, 2024
According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes.
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