Sun.Aug 22, 2021

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Granger Causality in Time Series – Explained using Chicken and Egg problem

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger. The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya.

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When the Voice of the Customer Actually Talks

Rocket-Powered Data Science

For many years, organizations (mostly consumer-facing) have placed the “voice of the customer” (VoC) high on their priority list of top sources for customer intelligence. The goals of such activities are to improve customer service, customer interactions, customer engagement, and customer experience (CX) through just-in-time customer assistance, personalization, and loyalty-building activities.

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5 Advanced Identity Theft Protection Tips in the Big Data Era

Smart Data Collective

There are a lot of great things about living in an era governed by big data. Big data creates a lot of new opportunities in business and our personal lives. However, there are also downsides to the sudden influx of data in the 21st Century. One major concern is that big data has made identity theft risks more significant. Addressing the Risk of Identity Theft in a World Increasingly Dependent on Big Data.

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Sharpening Cloudera’s Cloud Focus in Asia Pacific and Japan

Cloudera

Cloudera recently appointed a Cloud Director for Asia Pacific (APAC), Stevie Walsh, to help drive our hybrid and multi-cloud offerings in the region, supporting our customers in accelerating their digital transformation journey. We’ve asked her to share her cloud vision for Cloudera in APAC and the exciting plans that she has in her new position. What drew you to work in the cloud space?

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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4 Steps to Delete Yourself from the Internet for Data Privacy

Smart Data Collective

Data privacy is a growing concern for people all over the world. Many people have become cynical about data privacy. Sixty-two percent of people told Pew Research that they don’t think it is possible to go through life without companies collecting their personal data and 63% said the same about the government collecting their data. However, most people still express their desire to prevent them from doing so.

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Maximizing the 5G Analytics Dividend

Teradata

As 5G puts data analytics at the heart of the next wave of sustainable growth, telcos must ensure their existing investments in data infrastructure can be leveraged to enable that growth.

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5 Things You Didn’t Know About FDA Data-Driven Software Validation

Smart Data Collective

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. One example is with software validation. Big data has been instrumental in the software development process. A number of software developers are using data analytics and machine learning technology to improve the quality of their products and expedite the development of their applications.

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Emailing Spectrum Customer Service as a Data-Driven Consumer

Smart Data Collective

Big data has changed every aspect of the economy. We have talked about the different mediums that rely on big data technology to improve customer service. Cable and Internet service providers are among those that have leaned heavily on big data technology in recent years. They have found a number of uses for data analytics, which have helped them give better service offerings and prices to their customers.

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4 Guidelines for Protecting Your Data with Cloud Backup Software

Smart Data Collective

Cloud backup, also known as cloud computing, refers to the temporary storing of data on a remote cloud-hosted server. In a way, it behaves like cloud storage, enabling you to store and access information from multiple geographically dispersed and interconnected cloud environments. However, unlike a traditional data backup service, the best cloud backup does not store data on individual files but a virtual file system (VFS).

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