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Uncover The Power Of White Label Dashboards & Reports With Key Features And Examples 

datapine

This technology allows agencies and other businesses to offer customized analytical capabilities to meet users’ needs without having to invest in generating a solution of their own. We offer all the aforementioned features and many others to skyrocket your business performance using the power of data and analytics.

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CCaaS is a Vital Tool for Managing Customer Analytics

Smart Data Collective

One of the most important reasons companies are investing in analytics technology is to improve their understanding of their customers. Companies are expected to spend over $24 billion on customers analytics technology by 2025. The benefits of analytics to understand the customer journey cannot be overstated.

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Build a serverless analytics application with Amazon Redshift and Amazon API Gateway

AWS Big Data

Event-driven model Event-driven applications are increasingly popular among customers. Analytical reporting web applications can be implemented through an event-driven model. API Gateway supports containerized and serverless workloads, as well as web applications. These CloudFormation templates are run using the script.sh

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Infrastructure Environment: The infrastructure (including private cloud, public cloud or a combination of both) that hosts application logic and data. Data Auditing: In addition to data lineage, Data Stewards and Information Security analysts should be able to track all interactions of Data Consumers with data assets / data products.

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What Is Embedded Analytics?

Jet Global

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. When visualizations alone aren’t enough to set an application apart, is there still a way for product teams to monetize embedded analytics?