Drowning in Data: Why Our Obsession With Metrics May Be Crippling Leadership
Lee Peters
Tech/EdTech Growth Strategy & Business Ops Executive with SaaS/PaaS, High-Tech/AI, Advertising, and CPG Experience | B2B/B2C | Public & Private For-Profits, Non-Profits & Start-ups | Disruptor, Investor & Board Member
Recently, I’ve read a number of articles about, and been involved in multiple conversations with business leaders regarding, the consequences of the myriad systems producing data in their organizations. As a veteran business leader, I can attest to the reality of overwhelming amounts of data from many different departmental applications (i.e., CRM, ERP, Web Site Commerce and Social Media Statistics, HR, etc.) that are intended to provide leaders with information that results in unique insights for driving organizational success.?
Technology, including GenAI, continues to promise us a golden age of business leadership - real-time insights, data-driven decisions, and streamlined operations. However, for many leaders, the reality feels more like a deluge. The proliferation of metrics, KPIs (Key Performance Indicators), and OKRs (Objectives and Key Results) across various platforms, departments, and divisions has created a data glut, often hindering rather than helping decision-making.
Lost in the Numbers Game
Imagine a leader bombarded with dashboards, reports, and alerts from a multitude of tools. Each system tracks a different set of metrics, often with overlapping information presented in varying formats. Extracting meaning from this chaotic landscape becomes a time-consuming exercise. Valuable insights get buried under layers of irrelevant data, leading to analysis paralysis.
My own most recent experiences of this effect as COO in two different companies is no different: when all was said and done, we manually and technically configured spreadsheets and other application feed summaries of the data in an attempt to gain information transparency in a single online location, with both lagging and leading indicators aligned to our goals. The results were always mixed, and typically placed a heavy labor burden on the very humans that the expensive technologies driving the data were supposed to free up for more strategic problem solving.
The Cure for Information Overload: Focus on Quality, Not Quantity
Not all data is created equal. While some metrics offer a clear line of sight to success (e.g., sales figures, customer satisfaction), others provide a fuzzy picture at best.? Leaders get bogged down analyzing vanity metrics (like website traffic, click through rates, and community membership levels) that don't necessarily translate to business outcomes.
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So, how do we turn this data deluge into a manageable stream of actionable insights? Barring the advent of an amazing tool that easily places only the data you want from all of the sources you need into a single accessible place - with AI supporting immediate feedback and analytics (more on this concept in a later article) - today’s realistic roadmap most likely contains the following elements:
Build a Path to Effective Leadership
By taking control of the data flow, leaders can transform the current information overload into a powerful tool. Prioritizing relevant metrics and adopting a consolidated approach can unlock the true potential of data-driven leadership. Remember, technology is meant to augment our decision-making, not replace it. Let's leverage its power to make informed choices, freeing up valuable time to focus on what truly matters - leading our teams to success.
About the Author
Lee Peters is the CEO of 3 Degrees Deep, an education and technology consulting services company serving for-profit, non-profit, and start-up businesses. If your business is looking for help with a project, visit the web site or find Lee on LinkedIn.
Helping Coaches & Consultants consistently sign clients for their business | Marketing Strategist Behind $70M in Sales | Speaker
11 个月The biggest challenge with data I’ve seen is the inability to make it actionable or over reliance on the numbers, thus hindering the complete story. It’s important to have a system in place to organize the data to allow for effective analysis. Most importantly is the setting of a strong starting point for the data. What is the objective, what are you measuring? I find there is a misalignment betweeen the objective and the data. For example, in marketing when running a brand awareness campaign, you’d look at the metrics differently vs. a conversion campaign. The key is to ensure alignment between the objective and the data. The other side is the data tells one part of the story. Full awareness of other factors such as market, environmental are other metrics that must be considered when analyzing. Often times it’s not more information we need, its also better use, analysis, gathering, and time that is required to allow the data to be the asset it can be.
Chief Growth Officer, Eduscape
11 个月Lee Peters, this is a very insightful read. To prioritize data sources effectively, they need to be simply aligned to business goals and objectives. This approach ensures that the data you focus on directly supports your strategic decisions. As a former student of your strategy teachings, in my current role, I'm employing a mindset of prioritized data sources that offer insights into educational trends, student outcomes, or program effectiveness, directly impacting strategic partnerships and ways we can tailor existing curricula before new development.
Senior Managing Director
12 个月Lee Peters Very insightful. Thank you for sharing