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Data Analytics

Data Analytics

Creeno performs a process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of advanced systems and software environments. With the help of analtics we enable organisations to make more-informed business descisions.

These initiatives from creeno sol. can help businesses increase revenue, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond quickly to emerging market needs and gain competitive edge over rivals.

Depending on the application criteria, the data that's analyzed can consist of either historical records or new information that has been processed for real-time analysis uses. In addition, it can come from a mix of internal systems and external data sources.

For high level, data analytics methodologies include exploratory data analysis (EDA), which aims to find patterns and relationships in data, and confirmatory data analysis (CDA), which applies statistical techniques to determine whether hypotheses about a data set are true or false.

At application level, BI and reporting provides business executives and other corporate workers with actionable information about key performance indicators, business operations, customers and more.

We help organizations to adapt the increased usage of self-service BI tools that let executives, business analysts and operational workers run their own ad hoc queries by building reports themselves locally or virtually.