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Showing posts with the label : Clickstream Analytics Market

Contact Center as a Service Market Size Size, Share, Competitive Analysis, Research Methodology, Rapid Growth and Fast Forward Research till 2027 | COVID-19 Effects

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  Contact Center as a Service Market Size Research Report:  Information by Function (Automatic Call Distribution, Call Recording, Computer Telephony Integration, Customer Collaboration, Dialer, Interactive Voice Response, Reporting & Analytics, Workforce Optimization, Others), Enterprise Size (Small and Medium-Sized Enterprises (SMEs), Large Enterprises), Industry (BFSI, Consumer Goods & Retail, Government, Healthcare, IT & Telecom, Travel & Hospitality, Others), and Region (North America, Europe, Asia-Pacific, South America, and Middle East & Africa) - Forecast to 2030 Regional Analysis The global  contact center as a service market size  has been segmented into four regions: North America, Europe, Asia-Pacific, the Middle East and Africa, and South America. The market in North America is expected to grow as a result of the large number of cloud computing businesses that are driving the development of new technologies. In addition, the country's growing number
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Clickstream Analytics Market Strategic Assessment, Research, Size, Share and Global Expansion by 2027 | COVID-19 Effects

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  Global Clickstream Analytics Market,  By Type (Software, Services), By Applications (Click Path and Website Optimization, Customer Analysis, Traffic Analysis), By End-User (Government, BFSI, Telecommunications, Retail, Media and entertainment, Transportation) - Forecast 2027 Industry/ Innovation/Related News September 30, 2020 ---- Amazon Web Services, Inc. (AWS – the US), an Amazon.com company, announced the general availability of Amazon Timestream, a new time-series database for IoT and operational applications. The new solution can scale processes by 1,000 times faster than relational databases and at as low as 1/10th the cost. Amazon Timestream’s analytics features provide time series-specific functionality to help customers identify trends and patterns in data in near real-time. This can help customers with overwhelming data buried in industrial equipment, website clickstream logs, data center infrastructure, and many other places, managing complex time-series data at scale and
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