Marketing Analytics, Data Science and Leadership – October 28, 2019 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science and leadership you should be reading.

Everything a Data Scientist Should Know About Data Management via @kdnuggets

First, you’d have to figure out how to set up the data pipeline that takes in the raw data from data sources, processes the data, and feeds the processed data to databases.

Read the full article here: https://www.kdnuggets.com/2019/10/data-scientist-data-management.html

Hope is Not a Strategy for Deriving Value from a Data Lake via @insidebigdata

While many organizations have some form of a data lake, many others don’t.

Read the full article here: https://insidebigdata.com/2019/10/19/hope-is-not-a-strategy-for-deriving-value-from-a-data-lake/

Growing Depth Of Background Checks In The Big Data Age via @smartdataco

Fortunately, artificial intelligence uses big data to differentiate between these inquiries to avoid hurting your credit score.

Read the full article here: https://www.smartdatacollective.com/growing-depth-of-background-checks-in-big-data-age/

25 Top Inbound Marketing Blogs to Follow in 2019 via @DanTighe5

With well-written and -researched articles, and content generally aimed and mid- to large-sized companies, this is a great blog to add to your list.

Read the full article here: https://www.impactbnd.com/blog/25-great-inbound-marketing-blogs

Anomaly Detection, A Key Task for AI and Machine Learning, Explained via @kdnuggets

Since the trends in data samples were clear enough, we used linear autoregressive models that used previous readings to predict future values.

Read the full article here: https://www.kdnuggets.com/2019/10/anomaly-detection-explained.html

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