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.
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
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/
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/
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
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
Want more “can’t miss” articles? Subscribe to our newsletter where we curate top posts weekly, delivered to your inbox: https://www.trustinsights.ai/resources/data-in-the-headlights-newsletter/
Need help with your marketing data and analytics?
You might also enjoy:
Get unique data, analysis, and perspectives on analytics, insights, machine learning, marketing, and AI in the weekly Trust Insights newsletter, Data in the Headlights. Subscribe now for free; new issues every Wednesday!
Want to learn more about data, analytics, and insights? Subscribe to In-Ear Insights, the Trust Insights podcast, with new 10-minute or less episodes every week.