Most popular AI-powered analytics tools

Artificial intelligence (AI) has the potential to revolutionise the field of analytics by providing more accurate and efficient insights into data. Here are a few examples of analytics tools that use AI:

1. Google Analytics: This is a web analytics service offered by Google that tracks and reports website traffic. It uses AI to provide insights into user behaviour and help businesses understand how users interact with their websites. You can learn more and try it out at https://analytics.google.com/.
2. Adobe Analytics: This is an analytics platform that uses AI to provide insights into customer behaviour and help businesses optimize their marketing efforts. It includes features for audience segmentation, predictive analytics, and real-time analysis. You can learn more and try it out at https://www.adobe.com/analytics.html.
3. Salesforce Einstein Analytics: This is an analytics platform that uses AI to provide insights into customer data and help businesses make data-driven decisions. It includes features for predictive analytics, anomaly detection, and natural language processing. You can learn more and try it out at https://www.salesforce.com/products/einstein-analytics/.
4. IBM Watson Analytics: This is an analytics platform that uses AI to help users explore and analyze data, discover insights, and create predictive models. It includes features for data visualization, predictive analytics, and natural language processing. You can learn more and try it out at https://www.ibm.com/products/watson-analytics.
5. Tableau: This is a data visualization tool that uses AI to help users explore and analyze data, create dashboards and reports, and share insights with others. It includes features for predictive analytics and natural language processing. You can learn more and try it out at https://www.tableau.com/.

It can be helpful to review case studies of how companies have successfully used analytics tools with artificial intelligence (AI) to gain insights into their data and make data-driven decisions. Here are a few examples of case studies featuring some of the best analytics tools:

1. Adobe Analytics: This case study (https://www.adobe.com/content/dam/cc/en/customer-success/pdfs/fidelity-casestudy.pdf) highlights how Fidelity Investments used Adobe Analytics to gain insights into customer behaviour and optimize its marketing efforts.
2. Salesforce Einstein Analytics: This case study (https://www.salesforce.com/content/dam/web/en_us/www/case-studies/pdf/00530000004zvYnAAI-Accenture.pdf) discusses how Accenture used Salesforce Einstein Analytics to gain a deeper understanding of its data and make data-driven decisions.
3. IBM Watson Analytics: This case study (https://www.ibm.com/case-studies/watson-analytics-aviva) discusses how Aviva, a global insurance company, used IBM Watson Analytics to analyze customer data and improve its marketing campaigns.
4. Tableau: This case study (https://www.tableau.com/content/dam/online/en-us/docs/customer/case-studies/cs-tyco-international.pdf) discusses how Tyco International, a security systems company, used Tableau to analyze and visualize data from multiple sources and make data-driven decisions.

Overall, the use of AI in analytics tools can help businesses make more informed decisions, optimize their marketing efforts, and gain a deeper understanding of their customers.

References:

• “Top 15 Best Artificial Intelligence Tools for Data Analytics” (https://www.analyticsinsight.net/top-15-best-artificial-intelligence-tools-for-data-analytics/)
• “The Top 20 Artificial Intelligence Tools for Data Analysts” (https://www.forbes.com/sites/cognitiveworld/2020/03/03/the-top-20-artificial-intelligence-tools-for-data-analysts/?sh=7f1f42d23a7f)
• “The Best Artificial Intelligence Tools for Data Scientists in 2021” (https://towardsdatascience.com/the-best-artificial-intelligence-tools-for-data-scientists-in-2021-2f5c6c5e6d5f)