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The Foundations of a Modern Data-Driven Organisation: Gaining a Clear View of the Customer

Cloudera

At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. In the first of two blog posts, we delve into customer analytics to examine where data makes a difference in delivering an exceptional customer experience. .

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings. Certified Analytics Professional (CAP) , providing advanced insights into converting data into actionable insights.

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

Smart Data Collective

In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. Although now the NLP use is in the domain of chatbots and customer services, it is predicted that in the future of BI, it will migrate to other business areas.

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Is It Time to Jump-Start Your Data Offense?

Juice Analytics

Legendary analytics guru Thomas Davenport takes a more neutral stance in his Harvard Business Review article What’s your Data Strategy? But at Juice, we’re all about building data products. That’s an offensive data strategy (we’re with you Jack Dempsey, June Jones, Mike Leach, and Mike D’Antoni).

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Reinventing the Casinos with Customer Behaviour Analysis

BizAcuity

And today, customer analytics has upgraded from just predicting patron behaviour to a model that is capable of predicting profitability, customer behaviour, customer value, time a consumer is going to spend at the casino and other data, which can come very handy in influencing customers.

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

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. This is aligned to the five pillars we discuss in this post.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.