All Posts

[RECORDED] How to Assess & Evaluate Your Marketing Technology Stack

You made investments in marketing technology in order to improve customer experience. But, are they yielding the desired results? Are customers measurably happier? Do internal processes move more smoothly? 

When marketing technologies are implemented too quickly, without regard for other systems that may be in place or considering data sources, costs go up and customer experience suffers. 

Shortcut workarounds may seem to work for awhile. But, in fact, over time these short term fixes will fall apart when pressure to advance company goals topples the delicate balance.

It is never too late to disentangle the mess and strengthen the connections in your marketing technology stack. The first step is understanding which tools are the most important in order to decide what to keep and what to discard.

In this webinar you'll learn about:

  • Mapping the customer journey
  • Identifying and prioritizing the tools that best support the customer experience
  • The steps to performing a marketing technology health check


  • Seth Earley
    Founder & CEO, Earley Information Science
  • Dave Skrobela
    Managing Director, Earley Information Science
  • Sheryl Schultz
    Founder & President, CabinetM


Earley Information Science Team
Earley Information Science Team
We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

Recent Posts

[MAY 25] Artificial Intelligence Begins With Information Architecture

Building An AI-Powered Enterprise In the first webinar of this series we’ll establish the formula for AI success:  AI-Powered solutions are only as good as the data that fuels them. Successful AI requires a semantic data layer built on a solid enterprise information architecture. We’ll demystify this topic for executives and provide actionable advice for data strategists. When: May 25, 2022 @ 1:00PM EDT Who should attend: Executives who care about AI and the data experts who enable them. Speakers:

The Coming Tsunami of Need — Knowledge Management for Artificial Intelligence

Knowledge management has had a bad rap. For the past few decades, it has gone through cycles of popularity after being introduced in the early 90s, and in some of those cycles, it has been significantly devalued. That is the online incarnation of KM. Knowledge has been passed on for centuries through written words and apprenticeships; formal teaching and training; and cultural experience and folk teachings. Knowledge management as a digital endeavor started with early collaboration tools — listserves, online discussions, communities, bulletin boards, and the like as well as their corporate “groupware” cousins such as Lotus Notes and SharePoint.