IBM Big Data Hub
SEPTEMBER 19, 2023
Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.
FineReport
APRIL 26, 2023
The value of Big Data is not solely dependent on the volume of data available, but on how it is utilized. The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.”
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Domino Data Lab
JANUARY 21, 2021
Additionally, the Python ecosystem is flush with open source development projects that maintain the language’s relevancy in the face of new techniques in the field of data science. It’s worth noting that there is a landscape of proprietary tools dedicated to producing descriptive analytics in the name of business intelligence.
Sisense
JUNE 30, 2020
Analytics acts as the source for data visualization and contributes to the health of any organization by identifying underlying models and patterns and predicting needs. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. Visualizations: past, present, and future.
Sisense
JULY 23, 2021
“We get access, post-Games, to the ticket data to analyze any patterns in terms of incidents and responses.”. Descriptive analytics also help them understand the number of athletes and workers required to support that specific competition or sport. This analytics engine will process both structured and unstructured data. “We
Expert insights. Personalized for you.
83 
Let's personalize your content