From thousands of customer complaints to better service

May 14, 2020 11:00 AM

(UTC -3) Santiago de Chile

REMAINING: 7 PLACES

Analyze a large dataset, understand the feeling and improve your customer service

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Where is it?

Log in from your notebook, tablet or mobile phone and you will receive instructions when you book your place.

Why should I attend?

In just 1 hour you will learn how to analyze a lot of data, transform it, calculate and qualify it according to the feeling it causes: negative, neutral or positive. You will be able to understand the conversations that customers have about your business.

From emails they send you, forms they fill out or on social networks, you will evaluate the "conversations": which are positive and which are negative.

Then you can take action to improve service and increase sales.

Directed at:

  • Customer Areas, Marketing, Business, Commercial, Financial, Projects, BI, Digital Transformation
  • Product Managers, Business Developers, Programmers, Architects or Data Specialists

If you're not a computer specialist, don't panic! You can do a simple analysis using the Templates.

After the Webinar, you will receive in your mail the Templates Kit and you will be able to create your data products.

Webinar Content

Step 0: Introduction and Objective of the Session

  • What will you learn, what is the case that we are going to solve, how and why it can serve you, and how fast?
  • Is this going to be used for other data? For my data?
  • From 0 to 'Something'.

‍If you can better understand these conversations, rank (word cloud), prioritize and engage users, you can improve a lot and build a true cult following.

Step 1: Choosing the dataset

  • What are the characteristics, because we chose it, that we are going to analyze.
  • Which metrics do we want to extract? We will provide you with templates so that you can choose a set of data (either emails,
    service tickets, messages from a bot or forms that users filled out).

‍If you can better understand these conversations, rank (word cloud), prioritize and engage users, you can improve a lot and build a true cult following.

Step 2: Enable Infra Necessary

  • From data, to software or apps to work with.
  • Good practices for rapid infra-red enablement (CI/CD).
  • Code Templates Kit to make your setup in a few minutes.
  • How to save time to focus on analysis.

‍If you can better understand these conversations, rank (word cloud), prioritize and engage users, you can improve a lot and build a true cult following.

Step 3: From the data to the first analysis

  • Why use Jupyter and Python to transform data?"
  • If you're not a programmer, don't worry.
  • You will be able to do everything you have learned with the help of the templates

‍If you can better understand these conversations, rank (word cloud), prioritize and engage users, you can improve a lot and build a true cult following.

Step 4: First indicators, calculations, transformations

  • We'll start with the concept of Exploratory Analysis.
  • Models and data representation.
  • We will create a word and sentence analysis model to qualify as negative, neutral or positive.

‍If you can better understand these conversations, rank (word cloud), prioritize and engage users, you can improve a lot and build a true cult following.

Step 5: Visualization of the Analysis

  • We will create a dashboard with AWS QuickSight.
  • What is the feeling of the customers?
  • Positive, neutral or negative?
  • What are the main customer conversations that we should attend to?
  • To make decisions and improve the service.
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PAST EVENT

REMAINING: 7 PLACES

IMPORTANT

Space for this session is limited.
This type of training fills up quickly due to the quality of the content delivered at no cost.