Analytics software is a powerful tool designed to analyze, interpret, and visualize data to help businesses make informed decisions. This type of software processes large volumes of data from various sources, such as sales figures, market research, logistics, or customer feedback, to identify patterns, trends, and correlations that might not be apparent from raw data alone. Key features typically include data mining, statistical analysis, predictive analytics, and machine learning capabilities, alongside extensive data visualization tools like dashboards and reports that make complex data more accessible and actionable.
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Rank | Skills | Candidates |
---|---|---|
1 | Power BI | 936 |
2 | Google Analytics | 264 |
3 | Google Cloud Platform BigQuery | 193 |
4 | Kibana | 158 |
5 | Datadog | 110 |
6 | New Relic | 104 |
7 | Hadoop | 103 |
8 | Analytics Canvas | 89 |
9 | Looker Studio | 77 |
10 | Hotjar | 73 |
11 | Sas Analytics | 66 |
12 | Dynatrace | 53 |
13 | Zendesk Explore | 51 |
14 | Jupyter Notebook | 36 |
15 | Oracle Analytics Cloud | 33 |
16 | SAP Predictive Analytics | 31 |
17 | Azure Synapse Analytics | 23 |
18 | Apache HBase | 22 |
19 | Coremetrics | 22 |
20 | Amplitude | 19 |
Howdy Analytics Experts