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Your Guide To Using Big Data For Microsoft Dynamics Projects

Smart Data Collective

Big data has been seamlessly integrated into numerous Microsoft applications over the years. One of the newest applications to take advantage of big data features is Microsoft Dynamics. Microsoft has provided a detailed overview of the way that it uses big data in this application. Here is how you can do it.

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An In-Depth View of Data Science

Domino Data Lab

Data science is a field at the convergence of statistics, computer science and business. Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. Data Science Techniques.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

As I progressed in my career into management roles for enterprise data systems, I gained a deeper understanding and appreciation of the synergies and interdependencies between system and user requirements. Analytics products represent the user-facing and client-facing derived value from an organization’s data stores.

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

AWS Big Data

In another survey, 58% of organizations (out of 560 respondents of HBR Advisory council and readers) stated they saw an increase in customer retention and loyalty using real-time customer analytics. You can build your analytics and data science practices to focus on the analytics and activation pillars, respectively.

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

FineReport

Each language serves distinct purposes, from performance-oriented applications to web development and data science. Data Analyst Job Description: Data Analysis Tools Data analysts rely on an array of tools to collect and interpret data effectively. JPMorgan Chase & Co.:

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Altus SDX: Shared services for cloud-based analytics

Cloudera

Altus SDX enables companies to more easily build and deploy high-value applications for customer analytics, IoT, cyber-security, and more. Nimbly run many distinct applications against shared data. Soon we’ll have Altus Data Science, too!

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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. In our world of Big Data, marketers no longer need to simply rely on their gut instincts to make marketing decisions.