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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

Therefore, you need sophisticated customer analytics to analyze complex customer behavior. This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business. It increases brand exposure, sales, revenue, and customer satisfaction.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. Whether it’s customer analytics, product quality assessments, or inventory insights, the Gold layer is tailored to support specific analytical use cases.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166
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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

In the future of business intelligence, eliminating waste will be easier thanks to better statistics, timely reporting on defects and improved forecasts. Features: interactive tables, graphs, dashboards data publishing access to a broad data range custom analytic applications data storytelling web and mobile. SAP Lumira.

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Different Tools for Different Tasks

Perceptual Edge

Presentation preparation (Preparing displays of data that will be presented in meetings or in custom reports). Customized analytical application development (Developing applications that others will use to analyze data in the same specific ways again and again).

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Participate In Our TechRadar™ Research On Customer Analysis Methods

Srividya Sridharan

Customer insights professionals have many customer analytics methods (sub's reqd) to choose from today to perform behavioral customer analysis, and new techniques emerge as the complexity of customer data increases. But how do you decide which customer analysis methods […].

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Why Business Leaders Need to Be Analytics Evangelists

Sisense

Don’t let your team search out favorable statistics. It’s a way forward, a mandatory muscle for all companies to develop by infusing analytics in everything they do internally and externally, to overall increase returns on investments for their companies and their customers.”. Make decisions with evidence.