This morning I listened to\u00a0Malcolm Hawker and\u00a0Dan Everett on the CDO Matters podcast.<\/p>\n
Early on in the conversation Malcolm mentioned the word “reasonable”.<\/p>\n
As I was listening the word kept swirling in my head. Dan continued to talking about agree vs. disagree.<\/p>\n
So, I started thinking about the word “disagreeable”.<\/p>\n
As my mind meandered into the world of data strategy I started to think about what it would mean to have a disagreeable data strategy.<\/p>\n
So, here are my thoughts and I would love to hear from you. Maybe, I’m barking mad!<\/p>\n
While the term “disagreeable” may raise eyebrows, let me shed light on why I think it might be something you need to embrace to drive success.<\/p>\n
A business driven data strategy must challenge the status quo and drive innovation.<\/p>\n
It encourages teams to think beyond the conventional, fostering a culture where every idea, regardless of its popularity, is given a fair chance. This approach not only stimulates creativity but also ensures that we are not bound by industry norms, allowing us to chart our own path.<\/p>\n
Your data strategy should be disruptive, making it difficult for competitors to replicate.<\/p>\n
Why?<\/p>\n
By embracing a disagreeable #\u00a0data strategy, we push the boundaries of what is considered acceptable in our industry. This not only confounds competitors but also positions us as pioneers, setting the standard for others to follow.<\/p>\n
Isn’t this what most orgs are attempting to do?<\/p>\n
A disagreeable data strategy thrives on diversity of thought.<\/p>\n
When your approach challenges the norm, it naturally attracts a spectrum of perspectives and ideas. This diversity is a goldmine for insights that can reshape products, services, and customer experiences, giving your company a unique edge.<\/p>\n
Being disagreeable in your data strategy isn’t just about being contrarian for the sake of it; it’s about building a strategy that ensures operational efficiency and agility.<\/p>\n
By questioning established norms and processes, we optimise our operations, making us more responsive to market shifts and changes in customer behavior.<\/p>\n
A disagreeable data strategy demands accountability at every level. Some won’t like this.<\/p>\n
Team members are encouraged to challenge assumptions, question data validity, and take ownership of their roles in the larger data ecosystem. This not only strengthens the fabric of your organisation but also ensures that you are making decisions based on accurate, reliable information.<\/p>\n
In the business arena, differentiation is the key to success.<\/p>\n
By embracing a disagreeable data strategy, we not only challenge ourselves but also position our company as a trailblazer.<\/p>\n
It’s a strategy that not only disrupts the market but propels us to new heights, making it challenging for competitors to keep pace.<\/p>\n
Are you ready to embrace the power of a disagreeable data strategy?<\/p>\n","protected":false},"excerpt":{"rendered":"
This morning I listened to\u00a0Malcolm Hawker and\u00a0Dan Everett on the CDO Matters podcast. Early on in the conversation Malcolm mentioned the word “reasonable”. As I was listening the word kept swirling in my head. Dan continued to talking about agree vs. disagree. So, I started thinking about the word “disagreeable”. As my mind meandered into […]<\/p>\n","protected":false},"author":546,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[10],"tags":[],"acf":[],"yoast_head":"\n