DataTalks # 4: Predictive Analytics
The fourth DataTalks took place on October 10th. This time the topic of the meeting was the predictive analytics, and we would like to share the video recordings of speeches with the community.
Why predictive analytics?
It allows, based on historical data, to predict various events in the future, such as customer behavior or the results of actions taken. Thanks to her, a business can make optimal decisions and take into account forecasts about future actions and wishes of their clients.
Under the cat you will find recordings of speeches:
How to answer the question “What will happen?”: Practical advice / Andrey Yarmola
Data Science Team Lead, Wargaming
During his professional career, Andrei managed to apply his knowledge of data analysis both in science and in business. In his report, he shared his experience and told how to ensure that forecasts prepared using special techniques are correctly understood and taken on trust by stakeholders.
The report will be of interest to analysts, as well as to those who make decisions based on forecasts.
Necessary minimum of tools for building your system of recommendations / Alexey Demin
Java Server Side Developer, InData Labs
More and more companies are realizing the importance and value of personalized user interaction. In the report, Aleksey cited several examples of simple solutions that will allow building a service for creating personalized recommendations with minimal time costs.
The report will be useful to technicians who respond to requests like: “we want to start at least with something, but we don’t know which way to approach.”
What is a predictive analyst and who needs it / Nadezhda Ruchanova, Mikhail Avetisov
Deputy Director of the Representative Office of SAP CIS LLC and Leading Expert of SAP CIS LLC on Predictive Analytics
From the report of Nadezhda and Mikhail you will learn about current achievements in the development of the theory of machine learning, and also see how the predictive analytics works with concrete examples. All calculations were carried out using SAP software online.
Building a data warehouse based on the Hadoop platform / Igor Nafat
Data Integration Engineer, Wargaming
Igor spoke about Wargaming's data warehouse architecture, based on technologies from Cloudera and Oracle. This includes both source data sources and the experience of integrating them using self-developed solutions and specialized tools such as Apache NiFi.
The presentation will be interesting for technicians who are already familiar with the Hadoop stack.
Using predictive analytics to manage customer base value / Maxim Mozgovoy
Director of CRM, Wargaming
Happy and satisfied loyal customers are the foundation of well-being for many companies. However, customer churn is rarely the subject of close attention — usually we see a decrease in revenue. And we think, respectively, of its increase, rather than retaining users and managing the client base. This leads to the fact that many companies are forced to spend resources on attracting one person several times.
In his speech, Maxim talked about what a customer base is, what its value is, and how to use it as a basis for client strategy. Maxim also spoke about metrics and KPI systems for solving value management problems.
Why predictive analytics?
It allows, based on historical data, to predict various events in the future, such as customer behavior or the results of actions taken. Thanks to her, a business can make optimal decisions and take into account forecasts about future actions and wishes of their clients.
Under the cat you will find recordings of speeches:
- How to answer the question “What will happen?”: Practical advice / Andrey Yarmola, Data Science Team Lead in Wargaming
- Necessary minimum of tools for building your own recommendation system / Alexey Demin, Java Server Side Developer at InData Labs
- What is a predictive analyst and who needs it / Nadezhda Ruchanova, deputy director of the representative office of SAP CIS, Mikhail Avetisov, leading expert of SAP CIS, on predictive analytics
- Building a data warehouse based on the Hadoop platform / Igor Nafat in Data Integration Engineer, Wargaming
- Using predictive analytics to manage customer base value / Maxim Mozgovoy Director of CRM in Wargaming
How to answer the question “What will happen?”: Practical advice / Andrey Yarmola
Data Science Team Lead, Wargaming
During his professional career, Andrei managed to apply his knowledge of data analysis both in science and in business. In his report, he shared his experience and told how to ensure that forecasts prepared using special techniques are correctly understood and taken on trust by stakeholders.
The report will be of interest to analysts, as well as to those who make decisions based on forecasts.
Necessary minimum of tools for building your system of recommendations / Alexey Demin
Java Server Side Developer, InData Labs
More and more companies are realizing the importance and value of personalized user interaction. In the report, Aleksey cited several examples of simple solutions that will allow building a service for creating personalized recommendations with minimal time costs.
The report will be useful to technicians who respond to requests like: “we want to start at least with something, but we don’t know which way to approach.”
What is a predictive analyst and who needs it / Nadezhda Ruchanova, Mikhail Avetisov
Deputy Director of the Representative Office of SAP CIS LLC and Leading Expert of SAP CIS LLC on Predictive Analytics
From the report of Nadezhda and Mikhail you will learn about current achievements in the development of the theory of machine learning, and also see how the predictive analytics works with concrete examples. All calculations were carried out using SAP software online.
Building a data warehouse based on the Hadoop platform / Igor Nafat
Data Integration Engineer, Wargaming
Igor spoke about Wargaming's data warehouse architecture, based on technologies from Cloudera and Oracle. This includes both source data sources and the experience of integrating them using self-developed solutions and specialized tools such as Apache NiFi.
The presentation will be interesting for technicians who are already familiar with the Hadoop stack.
Using predictive analytics to manage customer base value / Maxim Mozgovoy
Director of CRM, Wargaming
Happy and satisfied loyal customers are the foundation of well-being for many companies. However, customer churn is rarely the subject of close attention — usually we see a decrease in revenue. And we think, respectively, of its increase, rather than retaining users and managing the client base. This leads to the fact that many companies are forced to spend resources on attracting one person several times.
In his speech, Maxim talked about what a customer base is, what its value is, and how to use it as a basis for client strategy. Maxim also spoke about metrics and KPI systems for solving value management problems.
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Source: https://habr.com/ru/post/270791/
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