Demystifying Digital and Data
I cringe and roll my eyes internally whenever I hear companies talk about how digitally mature they are because they have a nice looking website, are on all the latest social channels and have adopted a dozen of MarTech tools but not entirely sure how they are measuring success or what they are truly trying to achieve.
Being digital goes beyond just a nice looking website, be on all the latest social channels and buying all the fancy MarTech tools so you look like you are at the forefront of digital adoption. It’s also to avoid creating a data and digital dumpster.
Yes, there is such a thing as too much data and digital tools.
On the flipside, there is also such a thing as over reliance on one single platform/tool, person or process to try and help you make sense of the data you have or enable your business.
“Wait a minute”, I hear you say. “What am I supposed to do if both scenarios are not ideal?.”
I was recently inspired to write something about this after attending a few forums speaking about digitalization, data analytics, Gen AI and MarTech.
It depends on a few factors:
what are your objectives for using this tool or platform?
what are you trying to achieve and what insights are you trying to gather with the data collected?
how does the tool and data help you achieve your objectives?
what are you current processes like that will either hinder or enable you to fully utilize the tool and data collected?
what are the current skillsets and mindsets of your people that again will either hinder or enable you to maximize the tool and data?
what matters most when it comes to choosing the right tool?
what matters most when it comes to analyzing the data collected?
have you tested other tools serving a similar nature and what are the test steps you have used?
how are you collecting your data, storing, managing and analyzing it? What do you do with the insights gathered?
understand the pros and cons of multiple tools/platforms versus single tool/platform and their impact on your objectives and desired outcomes.
Some companies have chosen to stick to certain tools because they have invested a lot of time, money and effort on it despite it not meeting their needs. Some companies have chosen to over rely on just one or two people to be their so-called power users and are almost at the mercy of these folks.
Both scenarios create what we call bad behavior almost like a bad relationship where you know deep down it’s not quite right but you are so entrenched it feels like you need to live with it. What happens then is they abandon the tools bought or underutilize it (especially in the first scenario) and buy yet another tool without first understanding what is it that is not working well.
The other possibility is to hire an expert to either train your users or join your company and end up being at their mercy especially if you as the function or business owner doesn’t have a clue as to what you are trying to achieve, what the tool is capable of and its limitations, and how you intend to sustain the use of the tool if your needs change.
The way I prefer to work and advise my clients have always been to really deep dive into their pain points, current processes, people capabilities, business and marketing objectives , outcomes they want to achieve and how they want to measure success.
If I know for sure that there is a more effective platform or tool to help them achieve what they need, I will not hesitate to advise them to bite the bullet and consider another tool. Likewise, if I know the issue is not the tool but their current lack of knowledge or a gap in their processes, then I will work with them on addressing that gap instead.
A critical part of change management is mindset and behavioral change, and enablement of the people with the right skillset, supportive processes and therefore cultivating a supportive mindset to adapt to the change.
There is no one-size fits all, so what matters more is to be open to learn about different options available out there, not just what you are comfortable with or what others are using.
Psst - For data analytics, there are - tableau, amazon quicksight, power bi, looker, qilk, apache spark just to name a few commonly used ones. I have my personal favorites but it depends again on the factors I mentioned above.
About the Author
Mad About Marketing Consulting
Ally and Advisor for CMOs, Heads of Marketing and C-Suites to work with you and your teams to maximize your marketing potential with strategic transformation for better business and marketing outcomes.