Qubole

Where

Aon Center
200 E Randolph St. Chicago, IL 60601 (Conf Room MWD Chicago MPR 3)

When

November 7, 2018
11:30 AM CDT

 

Interested?

Register Here

Seats are limited - so register today!


About this Event

Customer 360 is all about building a consistent, personalized, contextualized and relevant profile of your customers. Typically, this is quite a challenge because of data silos, data volume, lack of flexibility to integrate new data sources, and the rising cost of data processing. Qubole on Azure cloud is changing this by offering automation on the Azure data lake. This makes it easier to bridge data silos to develop customer 360 analytics while keeping the cost of infrastructure as low as possible.

For example, a CMO of a company that sells industrial equipment wants to better understand, which current customers to market a new electric generator product launching next quarter. The CMO wants to develop a marketing plan and campaigns that can best target existing accounts with the highest revenue potential.


Workshop Challenge

During this workshop, we will show you how to implement a customer 360 solution using Qubole and Azure. We will be focusing on identifying potential customers for a new electric generator product line by joining CRM data (e.g. Dynamics or Salesforce), marketing and log datasets tracking customer interaction in order to better understand which existing customer we should market offers to in the next quarter. By joining these data sets, we will be analyzing customer attributes such as...

  • Product mix and age
  • Frequency of support instances for maintenance of existing product
  • Geographic information
  • Issue resolution timeliness
  • Activity in marketing channels

We will be transforming data in the data lake into a format that is ready for BI reports.  We will then be generating a dashboard for senior business users to make better decisions regarding product launch marketing.  


Key Takeaways

During this demo we will:

  1. Articulate a reference architecture for this solution
  2. Ingesting data into the data lake
  3. Transforming semi-structured data in Hadoop
  4. Join with data tables to identify best customers to target
  5. Build a dashboard for business users with Power BI and Presto

 

Agenda

AGENDA

11:30 AM - 11:45 AM Arrive / Register (Lunch provided)
11:45 AM - 12:45 PM 
Workshop Begins: Intros and Workshop Overview,
Ingest and Transform Data
12:45 PM - 1:30 PM 
Discuss Analysis and Tables, Review Queries and Dashboards, Material on Github for Future Reference, Q&A

IN PARTNERSHIP WITH...

 

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