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Managing data is hard. Drowning in it is expensive. In this episode, managing data vs drowning in it gets real as the team breaks down how dashboards, metrics, and “one more report” can either sharpen decisions or quietly replace leadership.
Joe Perkins (COO) and Brent Hillabrand (President and CEO) sit down with Justin Benson (VP of Intralogistics Solutions) and Danny Saleeba (VP of Finance) to unpack why leaders hoard metrics as organizations grow, how data can create a false narrative, and where dashboards give a false sense of control. You’ll hear how “rearview mirror” reporting can derail real-time judgment, why teams chase perfect data and stall momentum, and how to decide which metrics actually matter so you can move faster with more confidence.
What you’ll learn in this episode:
Why leaders hoard metrics as teams scale and how it impacts trust
The difference between visibility and overload, and where dashboards cross the line
How reports can replace the conversations leaders should be having
When data obscures judgment instead of sharpening it
Why dashboards can create false confidence even when “everything is green”
How to spot manipulated metrics and misleading storytelling in reporting
Which decisions truly need data and which require context, values, and common sense
The real cost of waiting for perfect data in fast-moving environments
When it is necessary to eliminate metrics, reports, and “needless” data
How to build alignment on what matters so data actually drives action
Don’t risk decision paralysis, slow execution, and frustrated teams because your organization is drowning in dashboards and conflicting reports. Learn how to simplify your metrics, focus on what actually matters, and make faster decisions with clearer confidence.
0:00 Introduction
1:29 Why Leaders Hoard Metrics
6:19 Can Data Obscure Judgment?
10:56 When Does Data Drive Decisions?
13:24 Dashboards & False Confidence
19:14 The Cost of Waiting for Perfect Data
22:37 When to Eliminate Metrics
28:34 Data Overload & The 97% Stat
36:53 Agree or Disagree
By Carolina HandlingManaging data is hard. Drowning in it is expensive. In this episode, managing data vs drowning in it gets real as the team breaks down how dashboards, metrics, and “one more report” can either sharpen decisions or quietly replace leadership.
Joe Perkins (COO) and Brent Hillabrand (President and CEO) sit down with Justin Benson (VP of Intralogistics Solutions) and Danny Saleeba (VP of Finance) to unpack why leaders hoard metrics as organizations grow, how data can create a false narrative, and where dashboards give a false sense of control. You’ll hear how “rearview mirror” reporting can derail real-time judgment, why teams chase perfect data and stall momentum, and how to decide which metrics actually matter so you can move faster with more confidence.
What you’ll learn in this episode:
Why leaders hoard metrics as teams scale and how it impacts trust
The difference between visibility and overload, and where dashboards cross the line
How reports can replace the conversations leaders should be having
When data obscures judgment instead of sharpening it
Why dashboards can create false confidence even when “everything is green”
How to spot manipulated metrics and misleading storytelling in reporting
Which decisions truly need data and which require context, values, and common sense
The real cost of waiting for perfect data in fast-moving environments
When it is necessary to eliminate metrics, reports, and “needless” data
How to build alignment on what matters so data actually drives action
Don’t risk decision paralysis, slow execution, and frustrated teams because your organization is drowning in dashboards and conflicting reports. Learn how to simplify your metrics, focus on what actually matters, and make faster decisions with clearer confidence.
0:00 Introduction
1:29 Why Leaders Hoard Metrics
6:19 Can Data Obscure Judgment?
10:56 When Does Data Drive Decisions?
13:24 Dashboards & False Confidence
19:14 The Cost of Waiting for Perfect Data
22:37 When to Eliminate Metrics
28:34 Data Overload & The 97% Stat
36:53 Agree or Disagree