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What is Data Mining? 

Pickl AI

Accordingly, data collection from numerous sources is essential before data analysis and interpretation. Data Mining is typically necessary for analysing large volumes of data by sorting the datasets appropriately. What is Data Mining and how is it related to Data Science ? What is Data Mining?

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From zero to BI hero: Launching your business intelligence career

Dataconomy

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

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From zero to BI hero: Launching your business intelligence career

Dataconomy

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. Cloud based solutions are the future of the data warehousing market.

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Ist Process Mining in Summe zu teuer?

Data Science Blog

Diese Anwendungsfälle sind jedoch analytisch recht trivial und bereits mit einfacher BI (Business Intelligence) oder dedizierten Analysen ganz ohne Process Mining bereits viel schneller aufzuspüren. Wie anfangs erwähnt, haben Unternehmen bei der Einführung von Process Mining die Qual der Wahl.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

Business intelligence has a long history. Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. With remote and hybrid work on the rise, the ability to locate and leverage data and expertise — wherever it resides — is more critical than ever.

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5 Benefits of BigQuery for Marketers

ODSC - Open Data Science

Common databases appear unable to cope with the immense increase in data volumes. This is where the BigQuery data warehouse comes into play. BigQuery operation principles Business intelligence projects presume collecting information from different sources into one database. You only pay for the resources you use.