This week’s roundup discusses the pros and cons of using R versus Python for data science, how advanced analytics is transforming B2B sales, the benefits of using predictive analytics for auto dealers, and how startups can use predictive analytics to get ahead.
R vs Python: Battle in the Field of Data Science
by Aneetta Andrews, Psychology Student and Technology Enthusiast, featured on Infosecurity
For any company that wishes their enterprise to be more data-driven, data science is their primary key to success. The professionals with data science skills are highly sought after these days and basically consists of three main components i.e. organizing, packaging and delivering the data (OPD of data). In the war of data science tools, both R and Python have their own sets of pros and cons.
How Advanced Analytics Is Changing B2B Selling
by Lori Sherer, Partner with Bain & Company’s Advanced Analytics Practice, and Jamie Cleghorn, Partner with Bain & Company’s Customer Strategy & Marketing and Technology Practices, featured on Harvard Business Review
A growing number of B2B companies are using data and analytics to add services that bring new elements of value to customers, and in some cases new sources of revenue. These elements are fundamental attributes of a company’s offering in their most essential and discrete forms – things like product quality, flexibility, and associated expertise; they lift value propositions above commodity status and benefit customers in particular ways.
Reducing Waste and Increasing Sales: The Benefits of Predictive Analytics
by Chanell Turner, Investigative Journalist for CBT News
The advent of big data collection has made it possible for auto dealers and their marketers to create strategies that reach those most interested in a product or service. Data collection is only one part of the equation; the second is using the information to predict who should be targeted and why accurately. Savvy dealers and even OEMs have jumped on predictive analysis to increase sales and customer satisfaction.
What Your Startup Needs To Know About Predictive Analytics (It Is Not As Scary As It Sounds)
by Kate Harrison, Startup Marketing Expert, featured on Forbes
The United States has over 30 million small businesses forming the backbone of the U.S. economy. Today, Predictive Analytics, a form of Artificial Intelligence (AI), is defining a new paradigm for how industries do business online. New trends like cloud-based solutions and open-source software make it affordable for small businesses to adopt predictive analytics and stay relevant in the age of information. Kate Harrison sat down with the author of best-selling book Predictive Analytics for Dummies, computer science Professor Anasse Bari of New York University’s Courant Institute of Mathematical Sciences, to discuss how and why small businesses should take advantage of this new technology.
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