9 Interesting Applications of Data Science in the E-commerce industry
There is no doubt that as of today, companies all over the world, big or small, are incorporating data science and its applications within their business in one way or another. The importance of data in today’s world has reached new heights so much so that companies are taking business decisions only after a thorough analysis of relevant data. This has especially found an important place in the e-commerce and retail industry. They can predict the purchases, profits, losses and even nudge customers into buying additional products on the basis of their behaviour. Organizations also use purchase data to create psychological portraits of a customer to market products to them and use it to drive customer loyalty and thereby more revenues.
Very nicely written. Merchandising section could have been elaborated with Space Optimization, which is gaining momentum these days.Thanks.
Big Data Analytics and Predicting Election Results
The best way to predict the future is to study past behavior. This is the underlying idea behind Big Data Analytics. The 2008 Obama election campaign was one of the first to take advantage of data-driven methods in the race to an elected office. The Obama campaign had a data analytics team of 100 people. This shows how deeply data analytics impacts the world.
Very nicely explained.
Upcoming Data-Science, Machine Learning, AI Events, Workshops across countries
Hello Friends,Let's have this forum to have regular updates on upcoming events, workshops across countries.Here are the lists :7th International Data Science Summit - The 7th Data Science Summit, organized by the Data Science Foundation will take place in Kolkata, India in September 2019. The Summit will provide a unique insight into creating a data-driven culture in organizations, and the benefits of using data and analytics to drive the decision-making process. https://datasciencefoundation.org/summit/7th-international-data-science-summit/
Statistical Methods Research
DSF: Rohan is a new member of the Data Science Foundation and has asked for our members to support the research he is doing for his MSc thesis. I am sure we can help by participating in his survey and sharing our opinions… For my thesis I am researching various statistical methods and their ability to deliver value for predictive modelling; more specifically ‘churn prediction’. To compare the various models in a complete and honest way I want to evaluate the models based on six performance characteristics.
Thank you to everyone that has filled in the survey or shared my request! 35 valuable opinions have been gathered; 22 came from a corporate environment and 13 are from researchers and academics. I will now close down the survey. Thanks again for your help!
International Data Science Awards Live and Entry Pages Open
The entry pages for the International Data Science Awards are now live and entries are being accepted. The awards were launched at the AI & Big Data Expo held at Olympia, London on 25 April. Entry pages will remain open until September with judging taking place in October.
Its now time to start thinking about the project you will enter into the International Data Science Awards. The Support of the Chartered Institute of Public Relations will really help to raise the profile of the awards and generate interest in the participants
Big Data Business Ecosystem
A business ecosystem, first defined by James F Moore, is “An economic community supported by a foundation of interacting organizations and individuals. In this regard, an ecosystem does not yet exist in Europe for Big Data. However, from at least one perspective a Big Data ecosystem (removal of ‘business’ is deliberate) does exist in many industries in a very simple form.
Request you all to please share your valuable and experienced suggestions...
Advances in Data Science will take place in Manchester, UK from Monday May, 20 2019 to Tuesday May, 21 2019.
A two-day meeting to present recent developments in data science. This year's meeting is themed around four topics: Health & Wellbeing, AI & Robotics, NLP & Text Mining and Security & Privacy. Invited speakers include leading data scientists from industry and academia, and there will be the opportunity to submit abstracts for talks and posters. Talks will range from application-focussed to advanced data science methodologies.
Nice initiative and hope for the best......
Graph Analytics and Big Data
Graph analytics, which is an analytics alternative that uses an abstraction called a graph model. The simplicity of this model allows for rapidly absorbing and connecting large volumes of data from many sources in ways that finesse limitations of the source structures (or lack thereof, of course). Graph analytics is an alternative to the traditional data warehouse model as a framework for absorbing both structured and unstructured data from various sources to enable analysts to probe the data in an undirected manner. Big data analytics systems should enable a platform that can support different analytics techniques that can be adapted in ways that help solve a variety of challenging problems. This suggests that these systems are high performance, elastic distributed data environments that enable the use of creative algorithms to exploit variant modes of data management in ways that differ from the traditional batch-oriented approach of traditional approaches to data warehousing.
Request you all to share your valuable suggestions....
Big Data Business Solutions Conference Friday 26 April 2019
Director and Founder of the Data Science Foundation, Chris Tomlinson, chaired the Big Data Business Solutions Conference Friday 26 April 2019 as part of the AI & Big Data Expo at Olympia, London. The conference sessions were designed to help organisations get the most out of their data projects, allowing them to make informed business decisions and to become data-driven.
Congratulations......Excellent contributions from the each & every participants.
Freelance Data Scientist
Freelancing is in every field of journalism to technology. Though freelancing in the technology field is at an early stage, soon it will boom the market. To begin with, what is freelancing and how it is relevant to Data Scientist job? In simple terms, a freelancer is a person who can contribute to a company without being a part of it.
I have written this article to bring the focus on freelancing in Data Science as well as the importance of Data Science Foundation for it's facilitation for the Data Scientists......Request you all to share your valueable suggestions for this article....