La data dans tous ses états
Analytics Tools to Transform and Get More Value From Your Data
Analytics Tools to Transform and Get More Value From Your Data
The average data analyst spends 80% on low value-added data transformation and only 20% on high value-added analysis. They spend most of their time crunching numbers instead of finding insights and improving the business. In this article we will identify some of the root causes and propose practical solutions to change this. It is better for the business but also for our data analysts who can find more fulfillment and meaning in their jobs. Selecting the right technology is key.
Key Data Challenges
Access to data is probably the number one challenge for most data analysts. My former boss, Brett Anderson used to say that there is an “invisible wall” between the people who have the data (i.e., IT) and the people who need it (frontline employees and analysts). Instead of direct access to curated datasets, many analysts must first download the data in text or csv files, clean and transform them in order to have the data ready for analysis.
In recent years there has been a proliferation of internal and external data sources. Traditional ERP systems have been complemented by specialized applications such as Finance, CRM, HR, event marketing and enriched with data ...
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Sommaire du dossier
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