Smart Data Collective
MARCH 28, 2022
Data analytics is the discipline of examining raw data to make conclusions about that set of information. All the processes and techniques used in data analytics can be automated into algorithms that work on raw data. Types of data analytics. Data analytics in education.
The BAWorld
APRIL 23, 2024
The Data Analytics Lifecycle is a diagram that depicts these steps for professionals that are involved in data analytics projects. The phases of the Data Analytics Lifecycle are organized in a circular framework, which is referred to as the Data Analytics Lifecycle. Click below to know more.
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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.
Smart Data Collective
NOVEMBER 25, 2019
New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. These new avenues of data discovery will give business intelligence analysts more data sources than ever before.
Astera
MAY 14, 2024
Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Examples include actions (such as data cleaning steps), tools used, tests performed, and lineage (data source). Image by Astera.
Data Pine
NOVEMBER 27, 2019
Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 2) Data Discovery/Visualization.
ElegantJ BI
JANUARY 22, 2017
Content Management Systems (CMS) and online meeting software furthered collaboration and sharing and helped business users to come together to review and edit documents and work on projects. In the old days, team members and employees shared and discussed information at the water cooler or in the cafeteria.
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