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5 Capabilities of Business Intelligence for Social Media Monitoring and Analytics

CSM Magazine

In this article, we’ll explore five key capabilities of BI that empower businesses to monitor social media conversations, analyze sentiment, conduct competitor analysis, create customized dashboards and reports, and integrate social media data with other sources for comprehensive analytics.

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Run an audience overlap analysis in AWS Clean Rooms

AWS Machine Learning

One common reason to engage in data collaboration is to run an audience overlap analysis, which is a common analysis to run when media planning and evaluating new partnerships. The analysis helps determine how much of the advertiser’s audience can be reached by a given media partner. Choose Configure new table.

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Facebook’s Conversion API – what marketers need to know

Infinity

Accurately tracking and improving campaign performance is at the top of every marketer’s wish list. Every ‘event’ that happens online can be gold dust for marketers. The greater the visibility you have of the data needed to track conversion events, optimise ads and re-target users, the stronger the position you are in as a marketer.

APIs 52
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Real-time analysis of customer sentiment using AWS

AWS Machine Learning

The company’s marketing and customer service departments analyze these reviews to understand customer sentiment. For example, marketing could use this data to create campaigns targeting different customer segments. Use cases for real-time sentiment analysis. Retail or B2C companies selling various products or services.

APIs 67
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Best Software for Speech Analytics

JustCall

Speech analytics software analyses live or recorded calls and interpret emotional indicators. Speech analytics software uses artificial intelligence to analyze spoken language similar to voice recognition software. What is Speech analytics? Significance of Speech Analytics. Some Best Speech Analytics Software.

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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Multi-modal agents, in conjunction with generative AI, are finding a wide spread application in financial markets.

Marketing 104
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6 Online Data Analyst Courses

JivoChat

There is where data analysis comes in, you can use the data your company has, and key performance indicators (KPIs) to indicate what path you should follow. For example, a company is about to launch a new product and the marketing is developing an email marketing campaign for that. Workload: 20.5