Friday, May 17, 2019
Business Intelligence and Analytics 17
1 Why Cleaner Marketing Data is Essential for IT
https://datafloq.com/read/why-cleaner-marketing-data-is-essential/6369
In a world where B2B companies clash over who gets to be on top in terms of sales, numbers play a pretty big part. More so because variables such as conversion rates and lead traffic can point you to whether you need to up your marketing game. This explains why enterprises are putting much of their resources on lead generation and content marketing. The idea is to generate as many B2B leads as possible. Many would think setting up an efficient B2B lead generation strategy across multiple channels is the main challenge. In reality, it isn’t. Ensuring that your pipeline feeds on “clean” data is still a crucial issue.
2 6 Ways Your Business Can Quickly Upskill Its Workforce
https://digitalmarketinginstitute.com/blog/6-ways-your-business-can-quickly-upskill-its-workforce
Technological advancements are keeping the modern workforce on its toes. The World Economic Forum projects that robotics, autonomous transport, artificial intelligence, and biotechnology will create the biggest changes in industries around the world. Businesses that want to thrive in these changing conditions will need a workforce with new skills, especially digital skills.
3 Why You Need To Focus On Your Email List
https://www.business2community.com/email-marketing/why-you-need-to-focus-on-your-email-list-02199164
While most digital marketers and new entrepreneurs focus on Facebook, Instagram, and other social marketing, there’s still one channel that beats them all – and that’s email.
4 Customer Churn Prediction Using Machine Learning: Main Approaches and Models
https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html
Customer retention is one of the primary growth pillars for products with a subscription-based business model. Competition is tough in the SaaS market where customers are free to choose from plenty of providers even within one product category. Several bad experiences – or even one – and a customer may quit. And if droves of unsatisfied customers churn at a clip, both material losses and damage to reputation would be enormous.
5 How companies deploy machine learning models to production today
https://medium.com/@teren_93770/how-companies-deploy-machine-learning-models-to-production-today-7caea620e034
The real transformational benefits of machine learning and data science can only be realized when models are constantly being used in a production environment. Even more value gets generated when there is a feedback loop from production data that is used to retrain a model at high frequency (some companies do daily retrains). However, let’s stay focused on just getting models in production.
6 How to Retain and Regain Your Customers
https://www.business2community.com/customer-experience/how-to-retain-and-regain-your-customers-02198018
Between paid ads, blogging, email and social media marketing, cold calling and more, companies spend a lot of money trying to acquire new customers. However, many act as if the battle is won after the first sale. Not so! Companies that fail to invest in their existing customers are likely to lose their most significant assets. A survey by SAS and Loyalty 360 found that 68% of new business comes from current clients. And, since it can cost five to 25 times as much to attract a new customer as to keep an existing one, keeping your churn rate as low as possible will help you get more mileage out of your budget.
7 Mathematical programming — Key Habit to Build Up for Advancing Data Science
https://www.kdnuggets.com/2019/05/mathematical-programming-key-habit-advancing-data-science.html
The essence of mathematical programming is that you build a habit of coding up mathematical concepts, especially the ones involving a series of computational tasks in a systematic manner.
8 Could machine learning solve attribution challenges?
https://marketingland.com/could-machine-learning-solve-attribution-challenges-261063
If your digital marketing team struggles with attribution, you’re not alone. Nielsen reports that only one out of every four marketers can confidently attribute revenue to their digital efforts. But does that surprise you?
9 The great balancing act: The long and short of B2B marketing
https://www.marketingweek.com/2019/05/16/long-short-b2b-marketing/
The case for long-term thinking has been building since Les Binet and Peter Field’s highly influential IPA report, ‘The Long and the Short of It’. They showed that long-term strategies are more effective at moving the dials that really matter – market share, profit, revenue and so on.
10 4 Tips for Visualizing Your Marketing Data with a Dashboard {New Research}
https://www.convinceandconvert.com/digital-marketing/visualize-marketing-data-dashboard/
Many people have had the experience of going to the optometrist thinking that they don’t need new eyewear because they can see things just fine. Then they try a new prescription and – BOOM – they see details that they never realized they were missing.
