Remove Customer Experience Remove Data Modelling Remove Documentation
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Adding AI to Products: A High-Level Guide for Product Managers

Sisense

Improving customer experience and reducing cost in a single step sounds impossible, but this is exactly what correctly implemented AI can achieve. Usually, we have to spend more money to achieve a better customer experience, but AI simultaneously delivers greater accuracy and focus and reduces human capital cost.

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An Expert Under the Hood: White-Label Reports and Dashboards

Sisense

Now that you know what you want everything to look like, define and connect your data sources. Once the data is flowing to your reports, you can tweak your presentations until they look and operate exactly how you want. Have a look at Sisense documentation to see how easy it is to plug in and create reports.

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Unleashing the Potential of Insurance Data with AI-Powered Extraction 

Astera

In the ever-evolving insurance landscape, organizations must process and analyze vast volumes of data from multiple sources to gain a competitive edge, optimize operations, and improve customer experiences. This data comes in various forms, from policy documents to claim forms and regulatory filings.

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Unstructured Data Analytics — A Complete Guide

Astera

Unstructured data is qualitative and more categorical in nature. It does not contain a predetermined data model or schema but has an internal structure. Using modern AI-powered data extraction tools, it can be converted to an easily manageable format for analytics. Improve Customer Experience. Conclusion.

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Five Steps for Building a Successful BI Strategy

Sisense

This information may come from Salesforce, or from your ERP system like Oracle, as well as from any other marketing technology that may hold customer experience information. . Their BI strategy took into consideration their sensitive data, huge distribution channels, and the need for better governance to reach one version of the truth.

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Unleashing the Potential of Insurance Data with AI-Powered Extraction 

Astera

In the ever-evolving insurance landscape, organizations must process and analyze vast volumes of data from multiple sources to gain a competitive edge, optimize operations, and improve customer experiences. This data comes in various forms, from policy documents to claim forms and regulatory filings.

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Business Analysis vs Business Analytics

MindsMapped

Business Analytics mostly work with data and statistics. They primarily synthesize data and capture insightful information through it by understanding its patterns. Business Analysts and Business Analytics – Differences. Business Analyst. Business Analytics.