Fordham -How effective decision-making is within the IT department - Analysis or Process?
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This is a presentation to discuss how effective decision-making is within the IT department. Does analysis or process matter?
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Fordham -How effective decision-making is within the IT department - Analysis or Process?
- 1. Power BI - Analysis or Process?
- 2. Preflight Briefing • All on my blog: www.wardpeter.com • Get ready to ask questions • Feel free to interupt
- 3. www.wardpeter.com About Me { background : “Founder- former CTO now CEO", employee : “SoHo Dragon", skill : “SharePoint, O365", books : “Co author of 4 SharePoint books” written : “Leadership in a zoom economy with Microsoft Teams” Co organizer : “SharePoint Saturday New York, Meetup” 1St Sharepoint : Version SharePoint Portal 2003 hobbies : “Yoga, cooking vegetarian food", }
- 4. NEW TEAMS BOOK Leadership in a Zoom Economy with Microsoft Teams: Applying Leadership to a Remote Workforce
- 5. Thank you 5
- 7. Agenda 01 DATA ANALYST 02 GOOD DATA 03 RIGHT ENVIROMENT 04 DATA AND AI
- 9. Summary 9 Good Data Data Analysis Right Environment How to make better decisions Process matters more than analysis Right Environment Data Analysis Good Data
- 11. What went into a decision? Insights Fact gathering and analysis formal or informal Right Environment Data Analysis Good Data
- 12. In a recent McKinsey Quarterly survey of 2,207 executives, said that the quality of strategic decisions in their companies was generally good, , and the remaining thought good decisions were altogether infrequent. 12
- 13. Data can be wrong Good Data
- 14. Data Analysis
- 15. Be very careful of who gave you the reports Good Data 15
- 17. Don’t give middle managers insights Data Analysis
- 18. Understand context over content Data Analysis
- 21. 21
- 22. Some things happen for the wrong reason Data Analysis
- 25. 25 Good Data
- 26. Evaluate Decisions Right Environment
- 34. Good leaders query the team Right Environment
- 35. Meeting to Make a decision Right Environment
- 36. Be Curious - Not Judgmental Right Environment
- 40. What IT Did You Invest In Over The Past 12 Months? No. Description Can You Measure That Investment - Y/ N 1. New website 2. Additional level 1 support person 3. CRM upgrade 4. Custom application for HR
- 41. Summary 41 Good Data Data Analysis Right Environment How to make better decisions Process matters more than analysis Right Environment Data Analysis Good Data
- 42. But There’s More
- 43. Data without AI is WORTHLESS
- 47. Remember:- Curiosity Did Not Kill The Cat Peter Ward – CEO SoHo Dragon https://www.linkedin.com/in/peterwardnyc/
Editor's Notes
- You are the best-looking audience I’ve seen. In fact you are better looking than the people in todays keynote
- All non technical
- Odds are three things went into that decision: It probably relied on the insights of a few key executives; (2) it involved some sort of fact gathering and analysis; and (3) it was likely enveloped in some sort of decision process—whether formal or informal—that translated the analysis into a decision. Now how would you rate the quality of your organization’s strategic decisions? If you’re like most workers, the answer wouldn’t be positive:
- This session is asking: What is really going on? THIS DOESN’T MAKE SENSE Most business decisions were not made on “gut calls” but rather rigorous analysis. And yet they were poor decisions. In short, most people did the all the legwork we think we’re supposed to do: they delivered large quantities of detailed analysis. Yet this wasn’t enough. “research indicates that, contrary to what one might assume, good analysis in the hands of managers who have good judgment won’t naturally yield good decisions.” People aren’t taught how to make decisions.
- Projections are put together by people who are interested in a particular outcome, have a subconscious bias, and their apparent precision makes it fallacious. Sales people As an executive, I need accuracy and truth.
- The young and the old lady.
- To make better decisions, we can sort of reduce errors or have better insight or preferably both. And yet, these often seem in conflict with one another. I thought a good place to start this would be, what sparks insight and what prevents us from putting our insights into use? Is it because they often contradict the beliefs we hold? Are they giving you all the data
- To be a good manager, you want things to run smoothly. And insights are not ways of running smoothly. Insights are disorganizing and disruptive. And so, that’s a major reason that organizations, without even intending to, block the insights that come their way. Give them reports to what they control More data doesn’t mean better outcomes But insights are disorganizing, as you point out. Insights make you change the way you think, and make you change all kinds of things. And they may not be right. And so, most organizations actually inhibit insights. Insights- Leaders Middle Managers – Operational Reports Is that because the organizations are mostly focused on the error-reducing side versus the gaining insight side, and that’s the tension between these things? They don’t like variants. They don’t like things that are outside of the norm.
- Emotional and logistic lenses
- How do you valid the data Content is important Who’s correct The BI developer should ask- What decision will you be making from this report
- Are we experimenting? Or are we set on the process
- A second type of insight is contradiction insight, where something happens that doesn’t make sense. And there you do have to change what you believe or wonder what’s going on. And the example I use there is a story I heard from a police officer. He was driving around with a partner who was in his first year, and they were stuck in traffic. There’s a red light. And the partner, this young guy looks at the car ahead, which is a new BMW. And he sees the driver take a deep drag on a cigarette and then flick the ashes. And he says, “Who flicks the ashes in a brand new BMW? That doesn’t make sense. Something is off here.” So they light them up, and pull the car over. Sure enough, it was a stolen car. So that’s the second type of insight, which is a contradiction insight, where something happens that you didn’t expect. Now, this didn’t force anybody to revise their mental model of their thinking. It just allowed them to investigate further.
- a misconception resulting from incorrect information. So in terms of insight, in terms of changing our beliefs, that’s the secret sauce for this kind of pathway, where even practically for any of the pathways, is to become curious about things that don’t make sense.
- People with lots of experience. And I found that experience is essential for coming up with insights. However, people with experience have lots of scar tissue, from things that got tried before and failed. . People with lots of experience. And I found that experience is essential for coming up with insights. I’ll ask them, “Tell me the last mistake you made. Let’s talk about that.” Journyman are not experts Understand experience - 20 years is not 20 years of learning Experience, and they probably worked in a job very similar to the one that you’re working in now. The problem is, their experience in that role was 20 years ago or 15 years ago. And I would imagine that the environment has changed a lot, whereas the experience of your manager or your team leader, or whatever, might be more recent, and they would have a more accurate view to what the lay of the land is right now.
- Executives are the best at this
- Look at historic data. How do we evaluate someone’s ability to make decisions? What got you to that decision Who are you? New employees wanting to change everything
- Did the person get lucky…… is this the only piece of evidence we have? So you can’t just look at the outcome, but you have to look at what the person was thinking about when they made the decision
- I think the idea of a decision journal is a great idea. And I hadn’t heard of that before. I would like to know when the employee is making a decision, what is the decision, what are the goals that the employee wants to achieve. The primary goal, but there may be other goals that the employee is aware of. What are the prime pieces of information the employee is using to make the decision? Who are the other people or teams that are going to be affected by this decision? Those are the things that I’d like to examine. I found that 80% of my cleanup was made from 20% of the decisions
- we should discourage people from coming up with immediate reactions, but that’s ridiculous, because that’s not the way we think, and it would cripple us. When do I need to make this decision? Do I have the freedom. So instead, you want us to come up with a quick reaction, but if we’re wrong, there’s going to be an anomaly, and we want to be able to revisit it. That’s the way we break out of fixation, is we notice the anomalies. The way we get stuck in fixation and make fixation errors is we explain away the anomalies, hold on to the original wrong impression until it’s far too late.
- Cognitive flexibility theory is the notion of trying to help people achieve expertise by preventing them from locking into routines and standard ways of doing things so that they can become more naturally adaptive.
- Instead of doing a postmortem for projects that fail after they failed, let’s move it to the beginning.” And that’s why it’s called a pre-mortem. And the way it works is if we’re on a team, we take everybody on the team, we’re all sitting around the table. And usually we do it at a kickoff meeting, Post Mortem. Helps everyone but the patient.
- What we find is it surfaces ideas and flaws that people hadn’t considered. But it also creates a culture of candor in the team, where people are starting to get used to expressing problems rather than covering them up. And it creates a sense of trust that I can say something and I’m not going to get criticized for it. Often at the end of a meeting, somebody will say, “All right, we’re just about done with the meeting. Does anybody see any problems?” Nobody wants to identify a problem. We’ve just spent the last hour and a half discussing the plan. Nobody wants to admit that there’s a problem. People aren’t even thinking about problems. They’re all in goal mode. Let’s get started. They’re impatient to start. And there could be consequences of exposing problems. With a pre-mortem, we reversed that dynamic. The way you show your smart in a pre-mortem is the quality of the items that you generate.
- So, there’s no general rule for how a team should make a decision. It’s going to depend on the situation and the context. There was a movie with Matt Damon a number of years ago called The Martian. And Matt Damon is part of a team that went to Mars. And something happened and they needed to depart, and they gathered everybody together, but they couldn’t find Matt Damon.
- I don’t like the idea of consensus decisions. And I don’t like the idea of a consensus decision in this kind of dangerous environment. Because as the people in the spaceship went around, there was enormous pressure on everybody to go along with the consensus, which was, “We should go back and rescue him.” And it was public. And they went back and they risked all of their lives in order to save him. US army – We defend democracy, not practice it.
- When you go to a meeting to make a decision, have everybody in the room write out the problem on a piece of paper that they think they’re solving with this decision, and then compare how different and how much variance there is in those problem statements. Do we have the right insight into the problem? Have we defined the problem?” And this is where if you have a sole decision maker instead of a group, you can acknowledge that the responsibility of that decision maker may be to listen to other people’s definitions of the problem.
- I love the idea of the zone of indifference. The way the phenomenon works is if I’ve got two choices, a terrible option, and a wonderful option, quick, which one do you pick? Okay, that’s not a hard decision. These are the hardest decisions people ever wrestle with. And the paradox is if the advantages and disadvantages of the two options are almost perfectly balanced, it doesn’t matter which one we pick.
- Remember curious di not kill the cat