Sisense Description
Integrate analytics into any workflow or application to make crucial decisions - confidently. Analytics can be integrated into your everyday workflows and applications to help you make better and faster decisions for your business and customers. To make analytics easy and intuitive, integrate customized analytics into your products and applications. The AI-driven predictive analytics platform is designed to increase product adoption, retention, and engagement.
Sisense, a top-rated Business Intelligence (BI), reporting software, allows you to prepare, analyze, and examine data from multiple sources. Sisense is trusted by industry-leading companies like NASDAQ, Phillips and Airbus. It offers an end to end, agile BI platform that enables businesses to make better, faster data-driven business decisions. Sisense has an open, single-stack architecture that enables machine learning, best-in class analytics engines, and delivers insights beyond the dashboard.
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Sisense Features and Options
Artificial Intelligence Software
Dashboard Software
Business Intelligence Software
Reporting Software
Big Data Software
Web Analytics Software
Data Visualization Software
Predictive Analytics Software
Sisense Lists
Sisense User Reviews
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Sisense is excellent for reorganizing lost data Date: Jun 21 2021
Summary: We have been able to get the program to do data analysis through technical execution of any kind, be it files, profiles or clients. We managed to produce an interesting line of business with data analysis consultancies to clients with multiple characteristics that want to be evaluated. A tool with an incredible level of technology that generates data analysis reports quickly; you will free the processes in decision making from any data reconstruction process.
Positive: It helps me search for lost data during the large influx of information that I can perceive at times. It integrates with multiple platforms, which makes the interface become an incredibly high-performance platform. I can automate some data analysis processes when I am using other tools at certain times.
Negative: Productively resolves suggestions through support; however, they should update and create internal guides where some simple processes can be detailed.
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