It's no secret that many marketers cringe at the very mention of Big Data. Is it because big data is nothing more than a big buzzword and brings no additional value, or is it simply that they're terrified at the prospect of diving into all that data? Either way, big data appears to be here to stay and marketers better learn how to mine the most value from it.
How Marketers Leverage Big Data and Analytics
Be sure to tune in on Tuesday, September 17th at 10 am PDT/ 1 pm EDT/ 1700 GMT as we discuss big data and analytics. We'll be exploring whether or not marketers actually understand big data's potential value, how they mine the value of big data and the tools and skills required.
As usual, in addition to the experts we are assembling, the broader CMSWire community is welcome to participate. All experience levels are welcome to join in by following the #CXMChat hashtag or through our chatroom.
This month's panel includes:
- Julie Hunt, Solution Strategist at Julie Hunt Consulting — @juliebhunt
- Billy Cripe, Principal and Founder at BloomThink — @billycripe
- Rob Carpenter, Director of Marketing at Evergage -- @evergage
- Glenn Gow, CEO at Crimson Marketing -- @CrimsonCEO
- Pierce Lamb, Marketing Manager at ScaleOut Software -- @piercelamb
- Kevin Glacken, Sales & Business Development Leader at ListenLogic -- @listenlogic
- Madhukar Kumar, VP Product Management at HP Software -- @madhukarkumar
- Misha Logvinov, Chief Customer Officer of Lithium -- @mishalogvinov
- Bill Ingram, VP of Adobe Analytics & Adobe Social -- @bill_ingram
These questions will shape the discussion:
- What is big data in your job context? How much do you collect and what categories?
- Name the three most important data classes or sources for digital marketers.
- How well equipped is your team to leverage big data, both from a skills and tools perspective?
- What are the biggest mistakes digital marketers make with big data?
- In-house or out-source analytics -- what drives the decision?
- Bonus: Do organizations need Chief Digital Officers?
A few things to keep in mind:
- Introduce yourself with your first #cxmchat tweet. Include your name, job title and organization you work for.
- Subsequent tweets must start with the question number you are responding to and the #cxmchat hashtag. For example, "@bigbird Q2 Social data is helpful but overrated. #cxmchat"
- Please don't pitch products or services -- stay knowledge focused.
- Keep the discussion professional, but informal.
- Remember that this is a public chat -- be thoughtful.
We look forward to seeing you there!