Friday, September 27, 2019
Business Intelligence and Analytics 31
1 Bringing agile to customer support
https://www.mckinsey.com/business-functions/operations/our-insights/bringing-agile-to-customer-care
Agile is one of the hottest management trends for companies across industries, and with good reason. This approach, which encourages collaboration, responsiveness, and ownership, has helped to transform different parts of an organization and generated significant performance improvements.
2 Why are your customers calling you again?
https://www.mckinsey.com/business-functions/operations/our-insights/why-are-your-customers-calling-you-again
It’s long been a fact of life that call centers often receive multiple calls from the same customers. Yet despite the availability of call data, few organizations fully understand the reasons behind repeat calls, making them hard to reduce or eliminate.
3 Tutorial on Outlier Detection in Python using the PyOD Library
https://www.analyticsvidhya.com/blog/2019/02/outlier-detection-python-pyod/
My latest data science project involved predicting the sales of each product in a particular store. There were several ways I could approach the problem. But no matter which model I used, my accuracy score would not improve. I figured out the problem after spending some time inspecting the data – outliers!
4 Introduction to anomaly detection in python
https://blog.floydhub.com/introduction-to-anomaly-detection-in-python/
There are always some students in a classroom who either outperform the other students or failed to even pass with a bare minimum when it comes to securing marks in subjects. Most of the times, the marks of the students are generally normally distributed apart from the ones just mentioned. These marks can be termed as extreme highs and extreme lows respectively. In Statistics and other related areas like Machine Learning, these values are referred to as Anomalies or Outliers.
5 Data Mapping Using Machine Learning
https://www.kdnuggets.com/2019/09/data-mapping-using-machine-learning.html
From small to large businesses, just about every company is fighting for a chance to get their audience’s attention. Regular marketing campaigns performed 20 years ago just don’t cut it anymore. To get ahead of the curve and beat out your competitors, you often have to market directly to the source, especially if you cater to the millennial generation.
6 Here’s How Data Science Is Empowering The Field Of Marketing
https://medium.com/@anebellyliza45/heres-how-data-science-is-empowering-the-field-of-marketing-76cff8386b68
Data Science is evolving at a rate faster than what it was expected few years back. The applications of Data Science are not just limited to one particular field. Slowly Data Science has spread to several other sectors of healthcare, education, automobile, defence & many more. Data Science also promises a lot for marketers to significantly reach their desired business goals & objectives.
7 Talent Alert: Data Science Help is Coming
https://www.informationweek.com/big-data/talent-alert-data-science-help-is-coming/a/d-id/1335756
But will the flood of candidates solve your data problems? Here are a few issues to mull and tips on how to attract/retain data scientists in this hot market.
8 6 Data Extraction Tools to Speed Up Your Work
https://www.business2community.com/tech-gadgets/6-data-extraction-tools-to-speed-up-your-work-02241578
The day to day tasks of running a business can be hard, not to mention time-consuming. Especially when it comes to dealing with lots of data. Just to get your hands on useful data you need to extract it from PDFs or spreadsheets, clean it, organise it, store it and analyze it. With lots of data, this can quickly become a full-time job. Thankfully, data extraction tools are here to help.
9 Open Source Gains Ground in the Enterprise
https://www.informationweek.com/big-data/software-platforms/open-source-gains-ground-in-the-enterprise/d/d-id/1335906
You may not hear a lot of enterprise executives talking about it, but open source software is becoming a mainstay in big organizations.
The enterprise has gone through a lot of changes in recent years between the rise of public cloud, Agile development, and a greater focus on data management and analytics. Another big change? It used to be that open source technology might not have been considered as an appropriate fit in the enterprise. Plus, tech executives may have been giving open source an air kiss, but they weren’t ready to commit. That’s totally turned around.
10 3 Reasons Why You Need to Be Computer Savvy in Business
https://bigdataanalyticsnews.com/reasons-need-to-be-computer-savvy-business/
Different business models require a variety of skills: from hands-on services which are built around craftsmanship and creativity to sales and marketing which put stock in people skills, salesmanship, and data analysis. However, there is one thing that all job roles have in common no matter the industry you work in, and that is the need for basic technological knowledge.
11 5 great Data Strategy Resources
https://101.datascience.community/2019/09/26/5-great-data-strategy-resources/
I am putting together some of my own resources on Data Strategy. Here are a few of the top resources I found helpful so far.
12 The Problem With Email Marketing Automation Flowcharts
https://www.targetmarketingmag.com/article/the-problem-with-email-marketing-automation-flowcharts/
The Marketing Automation Flow Is the Highway, the Marketing Message Is the Tesla
Marketing automation, and even the most complex and well-thought-out automation and email drip campaign flows, are just an infrastructure. But like a highway, the customer experience can be very different, based on what’s driving down the road.
