TweetChat eWEEK, May 17: Data Analytics – Optimizing Your Practice
On Tuesday, May 17 at 11:00 a.m. PT, @eWEEKNews will host its monthly #eWEEKChat. The topic will be Data Analytics – How to get the most out of your analytics platform, and it will be moderated by james maguire, e-WEEK Chief Editor.
We’ll discuss – using Twitter – data analytics challenges and best practices. How can companies gain a major competitive advantage by leveraging their data analytics tools?
How to participate: On Twitter, use the #eWEEKChat hashtag to follow/join the discussion. But it is easier and more effective to use real-time chat room link on CrowdChat.
Instructions can be found on the Data Analytics Crowdchat page: Log in at the top right, use your Twitter handle to register. The chat begins promptly at 11:00 a.m. PT. The page will then come alive with the real-time chat. You can participate or just watch the discussion as it happens.
Special guests: data analysis
The list of experts for this month’s Tweetchat currently includes the following: please come back for other expert guests:
Live chat room link: Go to the Crowdchat page. Log in with your Twitter ID and use #eweekchat as your username.
Tweetchat Questions: Edge Computing
The issues we will be tweeting about will include – check back for more revised questions:
- What current trends do you see in today’s data analytics market?
- How comfortable are companies with data analysis? Are they getting the most they can from their platforms?
- What is the main problem faced by companies when it comes to data analysis?
- What advice would you give them to optimize their analytics deployment?
- What is the big myth associated with data analysis?
- What about AI and data analytics? Your feelings about this promising union?
- Which vendors do you see as the market leaders in business analytics?
The future of data analysis? Where will we be in 3-5 years?
What else is important in data analysis? What else should businesses be aware of?
Go here for information about CrowdChat.
#eWEEKchat Provisional schedule for 2022*
January 18: Trends in digital transformation
February 15: Navigating Multicloud Computing
March 15: Low Code/No Code Trends
April 12: Edge Computing: Monitoring, Observability and More
May 17: Data Analysis: Optimizing Your Practice
June 14: Extend your AI deployment
*all topics are subject to change