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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service.

Insurance 250
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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Columbia University Certification of Professional Achievement in Data Sciences , offering foundational skills in algorithms, probability, statistics, machine learning, and exploratory data analysis. Amazon: Utilizes data analysts to streamline supply chains, enhance customer experiences, and refine sales strategies.

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Announcing the 2021 Data Impact Awards

Cloudera

Use cases for this category could include but are not limited to: people analytics and reporting; employee recruiting, retention and development; employee resource groups; diversity, equality and inclusion strategy; supplier diversity, and more. DATA FOR GOOD. A popular category last year, and no doubt this year too.

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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.

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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.

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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.

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Infuse Actionable Intelligence into Your Product with AWS Lake House

Sisense

Topics covered included the opportunities presented by AWS’ new “Lake House” architecture, the benefits of pairing the right cloud solution with the right custom analytics platform, and how actionable intelligence from cloud sources can take a company’s embedded analytics to exciting new places. Get analyst report.