Online Live Streaming

December 3-4, 2020

Online Events

Due to time zones, events presented by American speakers will be spread over more days, and will take place in the afternoon from 2 pm to 6 pm Italian time

Enterprise Data Governance & Master Data Management

ONLINE LIVE STREAMING

Oct 08 - Oct 09, 2020

By: Mike Ferguson

Mastering the Requirements Process

ONLINE LIVE STREAMING

Oct 12 - Oct 14, 2020

By: Suzanne Robertson

Business Analysis Agility

ONLINE LIVE STREAMING

Oct 15 - Oct 16, 2020

By: James Robertson

Big Data for Managers

ONLINE LIVE STREAMING

Oct 26 - Oct 27, 2020

By: Jesse Anderson

Practical Guidelines for Designing Modern Data Architectures

ONLINE LIVE STREAMING

Nov 02 - Nov 03, 2020

By: Rick van der Lans

Real-Time Big Data Systems with Spark Streaming and Kafka

ONLINE LIVE STREAMING

Nov 02 - Nov 05, 2020

By: Jesse Anderson

Data Virtualization: Technology and Use Cases

ONLINE LIVE STREAMING

Nov 04 - Nov 05, 2020

By: Rick van der Lans

Designing, developing and deploying a Microservices Architecture

ONLINE LIVE STREAMING

Nov 06, 2020

By: Sander Hoogendoorn

BizOps

ONLINE LIVE STREAMING

Nov 09 - Nov 12, 2020

By: Mike Rosen

Free article of the month

September 2020

Big Data and Analytics in the COVID-19 Era

Big Data and a Analytics are going to change in this COVID-19 era. I want to share with everyone the same messages that I’m giving my own clients. I’m hoping that this post will help those data teams that aren’t living up to their potential to start creating real value.

Focusing on Value Creation

Data teams need to stop looking for a problem to solve and solve a real business problem. The days of just looking for a business problem to solve or just storing data in the hopes the data team will eventually create value are gone (this shouldn’t have been possible in the first place). If teams aren’t creating any business value, management needs to go back to the business to see how existing and emerging problems can be solved with data.
We need to be focusing on creating models that optimize or improve efficiency. These models should save the company money or improve a process within it. Some examples would be models for pricing optimization, inventory management, ad spend, or customer acquisition.

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