Lego is amazing. Lego is a smart toy. It teaches us and our kids many things. Lego can especially teach us a fundamental insight that is true for many areas of our lives: We love doing those things that we are good at. And this is true for Business Analytics, too.
START SMALL
Success with a small project
Last year my twin boys wanted to build a fairly large space ship. They were really excited but that excitement ended up in a major disappointment: the project was too difficult for them. They lacked some critical skills. They made a bunch of mistakes and they soon lost patience due to a lack of visible progress. My wife and I tried coaching them. But we finally decided to shift their focus on a few smaller projects that they could finish in less than 10-15 minutes. They loved these projects. And they quickly learned new skills and they completed their objects faster and faster. As a result, the complexity of their projects rapidly increased and they got more and more creative. Today, they are able to build fairly large and complex sets and they need very little help from us. Most importantly, they love Legos as it gives them confidence and they are seeing personal success. When they tried conquering complexity too early, they easily got frustrated and Legos ended up not being their favorite toy for a while.
BIG BANG
Over the past few years, you and I have seen many companies fail with their software implementations. There was this infamous word Big Bang and it usually stood for failure. Companies decided to execute long and massive projects. The associated teams ran into plenty of dead-ends, they made mistakes, they had to compromise and they got really frustrated. Consulting cost often exploded. Business users were getting impatient and project teams decided to counter-act that with change management efforts. As a result, many companies literally hate the tools that they spent years implementing. Such a shame.
START SMALL AND GROW BIG
Experience allows us to successfully execute bigger and more complicated projects
When we get started with business analytics we should not attempt to do these large projects. It is just like with Legos: we have to develop new skills and we have to find out what works and what doesn’t. We also have to build the excitement. Small projects allow us to learn and to quickly collect success. The more we learn, the more confident we get. While we might need some consulting help in the beginning we can soon rely on our own skills. That significantly increases the motivation of all stakeholders. You will soon find that people are asking for projects instead of you promoting them. And before you know it you can apply the knowledge and skills to the bigger and more complex projects. And those projects will be successful. Isn’t that a better approach?
“How can data be so valuable?” That is the provocative question a friend asked me a few days ago. We had a good discussion about life, work and other fun things. My friend is an artist, by the way. Not a business person. And that created a bit of a challenge: how do you best explain the value of data in layman’s terms? Well, I ended up telling him a story that happened to me a few days before.
THE FREQUENT TRAVELER
It had been a long week. Four cities in four countries in four days. It was right around 11pm when I got to the hotel. All I wanted to do was sleep and forget everything about that day. It had been a tough day. Endless meetings, missed flights. In other words: I felt like reaching for the reset button. But things changed. At the hotel, I was greeted by a friendly front desk manager. He commented on the fact that I must be pretty tired (obvious observation – it was 11pm). We had a quick chat, he wanted to know where I came from. And without me really noticing he mentioned that he really admired frequent travelers like myself (huh? How did he know). He continued: “We are thankful for people like you. It is because of you that we are in business.” “Wow“, he said. “You must be one of our top customers. The are very few people that check in here that have spent as many nights in our hotels as you have.” He then gave me a nice upgrade to a fantastic room with great views. How do you think that made me feel? Well, it made a big difference and that is why I am so loyal to this hotel chain. This wasn’t the first time this had happened to me.
THE DATA IMPACT
Even a simple number can tell a great story
You are probably wondering where the connection with data is? Very simple: the hotel chain obviously has the data about all my stays in their systems. A very simple number. Not some fancy set of variances or complex data. Just a simple double-digit number for any given year. A simple SELECT sum(NIGHTS) from CUSTOMERS; Nothing more. But this business encourages its employees to look up this number and to actively use it to make their customers feel appreciated and special. That’s what the front-desk manager did. And guess what: This simple number allows the hotel to communicate three important things:
– We do know how much time and money YOU spend here
– We appreciate YOUR business
– We care about YOU
DATA IS THE NEW OIL
If a simple double-digit number can empower an employee to make a difference, think about the potential that lies in your ocean of data. What could you do with a few simple numbers to turn your customers and business partners into true fans? I believe we have a huge opportunity on our hands. As we continue to collect more and more valuable data we need to get started and continue to refine this data into real insights. And we have only scratched the surface so far. Why don’t you take a few minutes today to think about a single thing you could do with your data? Are there unexplored opportunities? What could you do today to make a difference?
Where is my auto-pilot? The Dolomites are stunning.
A few months ago, I posted an article about analytics in cycling. This post still remains one of the most popular posts on my blog. Thanks for all the great comments, feedback and questions. Many of you wanted to find out more. Here is a quick report of how technology helps improve cycling performance. On Saturday, I had the opportunity to ride the famous Alpe di Siusi climb in the Dolomites. It is a super nice and friendly climb: breathtaking landscape and not too long. It is fairly steep (average of 8.5%) but it is steady. In other words: a perfect opportunity to fit a short but challenging ride into a constrained schedule.
GADGET ALERT
High Tech in the hub: My Saris Cycleops Powermeter
A few years ago, powermeters became an affordable training tool for amateur riders like me. Smart technology is packed into either the bike cranks or the hub of a cycle and it measures a lot of data: power output, cadence, speed, torque, etc.. The data is sent to my Garmin Edge 705 cycling computer via ANT+ (similar to bluetooth) where it is combined with further GPS and altitude data. Following each ride, I download the data into a smart software called WKO+. This is where I can analyze each ride and learn a ton of stuff about myself.
PREPARATION
Blue line: fitness, pink line current training load, yellow line: freshness
Before leaving the house, I checked my performance chart in WKO+. This chart literally calculates and predicts my fitness using smart algorithms. The blue line for example shows my fitness ramp up. You can see that I had a rough spring: I was injured and could do not much until March. The yellow line indicates my ‘freshness’: a value below zero indicates that my legs are likely to feel heavy. A positive value indicates that I should have fresh legs. These algorithms work amazingly well and it really helps me put a solid training schedule together. For Saturday, I can see that I should have somewhat fresh legs (value is around +8). Perfect timing!
ON THE BIKE
An amazing piece of technology: The Garmin Edge 705
The climb went pretty well. Recent tests in training sessions have shown me that I am starting to get back in shape: I can easily sustain around 260w for about an hour. Wattage higher than 280 is likely to cause me some trouble (I experienced light cramps in a training session a few weeks ago). That information helps me with pacing. The climbs in Italy are pretty steep and it is easy to get carried away and push too hard. But after a few minutes I realized that the recent training efforts have indeed helped me improve and so I settled into a higher than normal pace. And this strategy worked out pretty well: I felt great and strong throughout the entire climb. I did have to hold back a little as it was getting extremely hot and I still had another climb across Passo Pinei.
OFF THE BIKE
Back home in Munich, I downloaded the ride into the software. How did I do? First, I take a look at my power distribution. A quick report shows me how much time I spent in different calculated training zones. The two zones on the right are the ones that really, really hurt. This is where your legs & lungs are screaming in pain. Hmm…Looks like I had a good day based on that. It seems that I have made some good progress. Time to increase the overall training intensity?
Time spent in different training zones
Let’s take a look at the detailed ride. The orange line shows the altitude profile. You can see that there were two different climbs. The other curves show the important stuff: power output (yellow), pedal cadence (green), speed (blue). Looks wild, doesn’t it?
Orange linge: altitude, yellow line: power output, green line: pedal cadence
But I am interested in my climbing performance. So let me zoom in on the Alpe di Siusi climb. To make it easier to analyze the data, I am drawing a few lines in here: the yellow dotted line shows my current threshold power (the power that I can produce for about one hour without falling off my bike in exhaustion) along with my favorite cadence zone (anything below 60 rpms does not feel good…). Aha. Looks like I had a good ride. Training is paying off indeed. I consistently rode above my estimated threshold and even had lot’s of energy to spare at the end of the climb (look at the yellow peak). Awesome.
The Alpe Suisi climb
The software also calculates several important and helpful KPIs. I won’t go into the details, but these KPIs help me further manage my training schedule. One easy example is Kilojoules: I created energy worth 732 KJs (the equivalent of two Snickers!). That information is really helpful on longer training rides: it helps you manage food intake.
ANALYTICS IS FUN
Perfect. Despite not having much time, I managed to get a solid ride in. The powermeter helped me pace and push myself. The post-ride analysis showed that I need to adjust my training schedule: time for higher intensity workouts. Also, I will have more time to ride in the Alps over the next few weeks and will use this knowledge to ride some of the longer and harder passes.
It’s fun to ride this way: The analytics have allowed me to learn a lot about myself. I ride more consistently now. And I perform much better on climbs. It feels awesome when you have some energy left in the tank at the end of a climb: this time I raced a local delivery truck. Italians love cycling and the two guys in the car cheered me on while pushing the gas pedal a bit more. The sun was shining, the clouds opened up on amazing view and I felt like I could fly right in that moment.
A few days ago, I took friends to the famous Neuschwanstein Castle. It’s close to my house – right around 100km and I have been there many times. But no matter how often I go there, I am always amazed by the stunning beauty of this monument. It is situated amidst rugged and snow-covered mountains. Awesome waterfalls, lush forrests and pristine lakes surround it. This is the stuff you read about in fairytales. The person who had this castle built truly had a stunning vision.
THE CASTLE BUSINESS
Fabled Bavarian King Ludwig II is known as the fairy-tale king. Born in 1845, he had a thing for beauty and architecture. And he had a big vision for himself and Bavaria. Under his reign, several amazing castles were built across Bavaria. Each one of these castles is highly unique and breath-taking: there are hidden grottos, magic dining-room tables, mirrored dance halls. And this is why millions of tourists from all over the world flock to these castles. They spend their precious money on tours, horse-carriage rides, souvenirs, food, drinks and hotels. It is safe to say that the economic contribution of these sights is enormous. Bavaria is benefiting from these castles in a big way. Vision accomplished!
LONG-TERM THINKING
This interesting story sparked a discussion amongst our group: What if the king had not followed his vision and played it safe? Would Bavaria be as popular and famous amongst tourists as it is today? What would have happened to these remote regions? Difficult to say, but we all agreed that things would be quite different. The king did run into serious resistance when he built his dream castles: while the general public supported him (the castle building created many jobs in the poor and remote regions), his ministers did not appreciate his personal spending habits and vision. The tried to block, hinder and deceive. But the king did not get bogged down in short-term thinking. He did not try to please his ministers. No, he poured his entire energy and fortunes into accomplishing his goals. The one thing we can safely say is that the King’s decisions ultimately led to the long-term well-being of Bavarian tourism.
TOO MUCH SHORT-TERM THINKING?
If we look at how many businesses are run these days, we have to observe that long-term thinking is quickly becoming a rare sight. We are so focused on making our next quarter’s numbers that we often loose sight of our vision. We cut expenses to make margins today but we sacrifice our ability to innovate which will hurt us in the long-term. We push customers to purchase our goods and services at times when we should be investing in long-term relationships. Investors are impatient and the day and age of the Internet seems to have taught many people that they should expect instantaneous gratification. Most of us know that this wrong and we often hear bloggers, analysts and managers complain about this periodic short-term thinking.
There is so much opportunity out there today. Much more opportunity than we have ever had. But we are often at risk of not fully leveraging the moment, by wanting to take it all today. Making a bold vision happen is very difficult if we are guided by short-term thinking. Shouldn’t we start shifting our focus back towards longer-term decision-making? Shouldn’t we strive to give up a little bit right here and right now to ensure that we are more successful in the future? This is true for our companies and for our personal lives. Why don’t we reconnect with our personal vision and the vision of our company? Let’s make a change today and start building some castles!
FINAL REMARKS: One could argue that the King followed the wrong vision. He did spend a fortune on his projects and the value was not quite apparent at that time. Unfortunately, King Ludwig II. ultimately paid the highest price: His ministers were discomforted by his behavior and managed to have him declared insane. He was arrested at Neuschwanstein and admitted to a mental hospital at Lake Starnberg. His dead body was found the next day. He supposedly drowned in knee-deep water. He remains extremely popular in Bavaria and many people suspect that he was killed (he was known to be an exceptional swimmer).
Let’s face it. Way too many projects fail. And they often fail because of low user adoption. Users hate the new processes, they dislike the new report style, they are not sure how to best use the new planning software. Project managers claim that the users are not open to change. Sounds familiar? But when we look at it carefully, a lot of the issues boil down to how we gather user requirements.
THE PROBLEM WITH REQUIREMENTS GATHERING
In my very first job, a senior colleague invited me to join a critical requirements gathering session for an SAP implementation. He had prepared an intricate questionnaire (By the way, he called this process a ‘JAD session’ as in Joint Application Development). We met with the users and he rattled off a ton of detailed questions. I was impressed. The users weren’t. They struggled with a lot of the questions and my colleague left frustrated. His message to me was: “Users never know what they want. This is the most frustrating aspect of our business.” To make a long story short, the users ended up not liking what they received. When my team mate pointed at the signed off requirements document an angry user replied: “Sure, I signed off on this document but this is not what I had expected.” This type of situation happens everywhere. But what is causing this problem?
HORROR IN THE KITCHEN
A few years ago, we moved from San Francisco to Europe. We ended up renting a house that did not have a kitchen. No big deal, I thought, and went to the first kitchen store I could find. The friendly sales person started rattling off a ton questions: What type of stove do you want? Have you thought about the size of your fridge? How many liters of storage space do you need? It went on and on. I had no answers for this person. Strange. I love to cook, I spend a lot of time in my kitchen. Yet, I was not able to provide satisfactory answers. And the sales person got frustrated with me. He suggested we take a break and reconvene after I had done some soul-searching. Sounds familiar? Any similarities to the standard requirements gathering process? Well, I aborted the process at that point and found another store that clearly knew how to help me.
A FEW IDEAS
Here are three ideas for making that requirements gathering session easier and to help drive user satisfaction:
Business problems come first: The traditional requirements gathering process focuses on features and functions (which fields do you need in the report, how do you calculate this metric). There is a place for that, but let’s start focusing on what the users are actually trying to accomplish. Ask questions like: “What do you use this report for? What problems are you trying to solve with this? Has this been useful in the past?” We are in the business of solving business problems after all. So let’s focus on that. By asking those type of questions first we are able to make new connections and we are able to guide the discussion proactively. I went to another kitchen store and found a great sales person. He asked me a ton of questions around our family life-style, looked at pictures from the prior kitchen, etc.. He got the big picture. Also, I felt at ease. This person clearly showed an interest in helping me.
Stop asking users for what they want and start showing them how the world could be: We don’t know what we don’t know. It’s that simple. Look at a user who has been using a certain set of paper-based two-dimensional reports: that person would not know how to articulate the requirements for a multi-dimensional online version (What is a dimension?). Instead, build a little prototype and show them how the world could be. Make it easy for people. The person at the new kitchen store did just that. After asking the high-level questions, he used a few models to explain to me what type of decisions I would have to make. He basically educated me. And that did wonders. All the feature and function questions from the other store suddenly made a lot more sense.
Create and share: Don’t just stop there. Take the initial requirements, apply your knowledge and think ahead. Take the input from the general business problem discussion and create a prototype that includes useful things the user might not have articulated. You are the expert and you need to inject your expertise. Apple does that extremely well. Steve Jobs once said: “Let’s go invent tomorrow instead of wondering about what happened yesterday.” And this could be a highly rewarding exercise, because we get to apply our deep knowledge. Also, make sure to show the advanced prototype for early feedback. It is easier to visualize what could be when I actually see it. The guy at the second kitchen store did that. We configured a basic setup and he then applied his deep knowledge to surprise me with a really cool proposal.
THE NEXT PROJECT
Next time you head out to meet with users, try to remember some of these things. It can make a huge difference. I can tell you that my family is pretty happy with our kitchen. The combination of understanding how the world could be coupled with the deep knowledge and creativity from my coach (the sales guy), we ended up with a rather cool setup that continues to delight us. Why shouldn’t we be able to do this in business as well?
“When you fulfill dreams, success is inevitable.”,Carmine Gallo, The Innovation Secrets of Steve Jobs
Yes, we do know that we shouldn’t eat those chips. Yes, we do know that we should read more books. Yes, we know that we shouldn’t drink that much coffee. But…..BUT…..We all know that there are small things we can do that could really have a big impact on our life or job. But we still don’t do these extra little things but they take time and effort. We are all guilty of that. I am for sure. Most of us can tell some stories about that.
CRITICAL SKILLS
About a year ago I had a revelation. Together with two hundred other business and IT people, I was listening to a presentation about common data visualization mistakes. YAWN…. How exciting. A few minutes into the presentation it dawned on me. I actually didn’t know all that much about proper charting techniques. I had never actually paid much attention to it. By looking at the reaction of the other attendees around me, I noticed that they were in the same boat. How can that be? We are all professionals that are dealing with data on a daily basis. Yet, so many of us have never paid much attention to proper visualization techniques.
THE MAGIC PIE
What is the message?
That day I decided to make a change. I felt a pressing need to learn more about charting techniques. And when you look around you can easily see that many of us need to make this change as well: We use ugly pie charts left and right, we create meaningless 3D visualizations and we connect data points that should not be connected. And that is not too surprising. Nobody ever really taught us how to properly visualize data and when to leverage which type of chart. To make things worse, nobody ever questions this. Executives seem happy with their colorful 3D charts. I will never forget the day when my then-boss at a traditional German company almost fell off his chair when saw a ‘cool’ 3D diagram I had produced with Lotus 1-2-3. But at the end of the day, many charts do a very poor job at telling a good story about the data.
DATA IS THE NEW OIL
Data volumes grow. The speed and volatility of business are increasing. As a result, we all need to make sure that we find meaningful trends and insights in our growing pool of data. There is a lot of insight to be unlocked. Many people are therefore saying that ‘data is the new oil’. But in order to really get the best out of our data we need to learn how to visualize it properly.
THE POWER OF VISUALIZATION
As John Medina points out in his bestselling book ‘Brain Rules’: “Vision trumps all other senses.” The nerve pathways of our eyes to brain are extremely powerful. John Medina continuous by saying that “Professionals everywhere need to know about the incredible inefficiency of text-based information and the incredible effects of images”. In other words: dry tables of numbers just don’t cut it. A picture says more than a thousand words. Let’s create charts that tell a powerful story. And those charts are especially useful when we utilize them in dashboards. Dashboards should be visual to allow users to quickly absorb and digest critical information.
CHANGE
Charts can convey a powerful message
We should therefore all take the time to learn more about charting techniques. And it’s a simple thing to do. Pick up a copy of one of Stephen Few’s books (see below for a list of recommended reading). Roam around the website of visualization artist David McCandless (I wrote about him a while ago). Play with your current numeric reports and put them into charts. Compare the different stories. Over the next few weeks, I will write some posts about some of the powerful charting options in IBM Cognos 10. IBM Cognos 10 comes with almost 160 different chart types. There are some fantastic tools in there that can really make your data fly. Make sure to follow along to get some tips and tricks.
Last Wednesday evening while waiting for a connecting flight at Vienna airport, I came across an interesting eBook by Tyler Cowen: ‘The great stagnation“. Thanks to the iPad, I ended up reading the entire short book on the flight back home. To keep things short, Tyler Cowen looks at some of the reasons why the US economy is in a slump. One of the key points of the book is that the US (along with the majority of the Western world) have hit a technological plateau that results in slower growth, slower increases in median income and also slower productivity gains. While some of the earlier innovations such as the steam engine, refrigerators, air travel or TV had a huge impact on our overall quality of life and also our productivity, many of our recent innovations like the internet have had less of on impact (compare having or not having a fridge with having access or not having access to the Internet, or look at the options that air travel opened up for international trade).
PRODUCTIVITY
This blog post is not intended to be a book review, although I do highly recommend this quick and insightful read. But there is an interesting aspect that Cowen mentions: productivity gains are slowing down. We have already grabbed the ‘low-hanging fruit’ by exploiting machinery for example. This got me thinking: What about all the great technology that we have implemented in the past 20 years? Could it really be that we are not experiencing substantial productivity gains by using this technology in a smart way? The statistics apparently say no (Cowen points out that the productivity surge in the US from 2009-2010 was mostly driven by a substantial reduction in headcount). And what about Business Analytics? Shouldn’t that help us be more productive and to drive profitability?
ARE WE REALLY PRODUCTIVE?
To answer that question let’s take a look at a very simple example: the office of finance. A few weeks ago, I posted the results from a survey we conducted. It showed that many professionals still conduct their work by copying and pasting data into spreadsheets. And that type of activity is error-prone and takes a lot of time. As a matter of fact, many finance professionals still spend a solid part of their week loading, scrubbing & massaging data. And the resulting reports often leave a lot to be desired. They are static and not interactive. The result? A bunch of highly qualified and highly paid individuals do work that they shouldn’t be doing. Wikipedia defines labor productivity as “amount of goods and services that a worker produces in a given amount of time”. Spreadsheet maintenance hardly qualifies as a service or good, wouldn’t you say? In other words: whether we like it or not, many of us have a very low level of productivity.
BUSINESS ANALYTICS AND PRODUCTIVITY
Business Analytics has a huge potential to help us increase productivity. And I would argue that there is plenty of ‘low-hanging’ fruit. Think about a story that happened to me a short while ago: A CFO decided to implement a dashboard of about 50-60 KPIs (let’s not start arguing about that part…). His team was excited and started building a 65 page Powerpoint master template. The CFO was delighted. Guess what – three people spent almost two weeks per month on preparing this dashboard. Lot’s of time was wasted on extracting data from different source systems. Lot’s of time was wasted on creating Excel lookups, queries and charts. To sum it up: A big waste of time. The low hanging-fruit came in the form of a traditional BI platform. We hooked up the source systems, created the reports once, linked different charts to Powerpoint and voila: the monthly reporting book. It took one person about a day per month to check & refresh the data (there was still some manual labor involved). Consider the difference: three people for 10 days vs 1 person for 1 day. 30 man days vs 1 man day. Not bad?
THE BEGINNING
Based on my own experiences, I would argue that we have a huge opportunity on hand. Many companies have started Business Analytics projects but a lot projects are still highly focused and not pervasive. Once we start pushing capabilities out to a broader audience, we should be able to see significant increases in productivity. And this is not only about driving efficiency. This is also about driving effectiveness: just imagine what we could do, if we had the ability to understand our customers better. Just imagine what we could do, if we clearly understood which products are truly profitable. Business Intelligence allowed us to get to a lot of this valuable information. But I believe that we have only scratched the surface. The addition of predictive analytics to the mix offers completely new opportunities for all of us. I frequently work with some clients that have done some amazing stuff with the software. And their overall corporate performance is very impressive. I highly recommend reading the IBM CFO study which provides some great examples and insights about this topic. We just have to get started! What are you thoughts?
Have you ever wondered what it was like to run a large company? Have you ever wanted to make big risky business decisions with worrying too much about the results? Well, I have some good news for you!
Purchasing and implementing enterprise software like IBM Cognos can be a complex undertaking. It starts with finding the right vendor, understanding how the software can help fix business issues and it continues with obtaining buy-in from the business. Especially the last issue is not trivial. I have personally spent countless of days and nights working with different client sponsors on crafting careful messages about how the new processes and the software will help the business. My personal lesson learned is: selling change is not easy.
THE EXPERIENCE FACTOR
But there is a recipe that works in many cases: Rather than show and tell, let the business experience the difference. This is something we can learn from a car salesman: A car salesman does not spend time talking about the benefits and cool features of a car. No, he offers a test drive. During this test drive, I am able to experience the benefits hands-on myself. I am able to visualize how the new car can help me. If I like the car, I like it. And I know when it feels right.
THE BUSINESS ANALYTICS EXPERIENCE
How does all that related to Business Analytics? Very simple: Together with Roland and Patrick Mosimann (authors of the popular book the Performance Manager) we created a business simulation workshop that allows you to run a fictitious company using the IBM Cognos platform. And let me tell you: This is one fun workshop because you get to run a large company. It is called: The Business Analytics Experience
THE CONCEPT
The workshop is typically run with groups of 8-16 people. We split the participants into competing teams. The objective for each team is to run the fictitious company ‘Futurechips’. Together with the group facilitator, we start by analyzing the situation of the company. The Cognos 10 platform provides vital information such as a financial review, overview of products, markets, etc.. This helps answer some critical questions such as: Why was the prior management team let go? What is the financial situation? What are the opportunities for the new year?
ENTER THE SIMULATION
How is Futurechips performing?
There is a lot to discover. Futurechips seems to have a bright future but the prior management team made some strange and short-sighted decisions. And it is fun to make these discoveries. The teams therefore get fully emerged into the game after a few minutes. After a short while solutions and ideas spring up. The teams start discussing. And it doesn’t end here: We actually get to make some critical business decisions. What markets do we want to focus on? Which products do we want to invest in? How should we adjust our pricing models? What is our overall strategy for the fiscal year? We do this by developing short strategic plans in IBM Cognos 10. The data that we enter is then fed into a sophisticated simulation engine that provides detailed feedback.
THE COMPETITION HEATS UP
At this point, it is not untypical to see some serious competitive behavior (all in good fun!) between the groups as we compare the results from the first few quarters. We find out that we did some things right. We also find that the teams missed a few points. Plans and strategies are refined. And so it continues. There are more decisions to be made and the simulation continues to provide feedback.
THE BENEFITS
Ok. That sounds good? But what does that have to do with Business Analytics and what does that have to do with selecting software and implementing it? Very easy. The workshop allows the participants to experience how Business Analytics software can help them make better business decisions. Just to be sure: we do not talk about the software itself during the workshop but we use Cognos 10 to perform our analysis, to prepare our decisions and to help develop the detailed plans. The participants use the Business Analytics tools to gain insights and to prepare their decisions.
WHO, WHAT, WHEN?
Who should attend the seminar? Anybody who wants to learn more about business analytics (sponsors, project managers, CIOs, CFOs, business managers) and all those of you who are already implementing the software and who need to sell change within their organization. The workshop is a fantastic way to let business users experience how their work can change. It is just like test driving a new car!
Does that sound interesting? It really is. I LOVE running these workshops. It is a simulation and a game after all. As a matter of fact, we have many returning customers that want to participate over and over again.
Check out IBM’s website for more information and a current schedule of events. Our team is also happy to run these business analytics workshops in-house. Hope to see you at one of these workshops soon!
Please do not read this post if you are opposed to humor, irony and severe sarcasm.
THE BATTLE CRY
The other day I came across an article in Time magazine about Amy Chua. Even here in Europe we can’t ignore her infamous book “Battle hymn of the tiger mother”. No matter if you agree with her or not, we cannot deny that she has started a pretty heated debate about raising our kids. Just this week I came across various articles about her and had to listen to some radio shows discussing her methods. Even here in Europe. Having heard so much about this topic, Jen and I certainly had a quick discussion about our approach to parenting.
BUSINESS ANALYTICS AND CHANGE MANAGEMENT
Some of you probably attended the Gartner BI Summit in London. As every year, many people discussed the problem of user adoption and change management. Over the years, I have witnessed many different attempts to increase user adoption: town hall meetings, trainings, flyers, videos, candies etc.. Some methods are successful, other methods fail. It always depends on the organization and its culture. During a discussion with different delegates, somebody made the comment that users can sometimes be more difficult than kids. Hmm…that sparked an idea.
ENTER THE TIGER MANAGER
If you follow the discussions in the press, there is heated dispute whether Mrs. Chua’s methods work or not. But since many organizations are struggling with change management, how about trying Mrs. Chua’s methods? How about unleashing the Tiger Manager:
“Nothing is fun unless you are good at it”: Some users resist using business analytics tools. They prefer to stick to spreadsheets. That’s what they know and that’s what they enjoy doing. Could it be that they are not using the new software because they are not good at it? Would it make sense to force users to practice using the new tools? Rather than sending out a friendly invite to attend training, would it make sense to just lock them up? To make this as effective as possible, one should not allow anybody to drink, eat or sleep until the users get better at it. Bathroom breaks should be strictly forbidden during the critical learning stages.
“You are garbage.“: We should all strive for perfection and we all know that poor analysis can lead to poor business decisions. Yet, some users seem to feel that it’s ok to use the new software sporadically. They resort back to spreadsheets and they make mistakes. If we come across somebody like that, we should call that out openly. Instead of offering help, why don’t we openly call those users ‘garbage’. Adjectives like ‘lazy’, ‘stupid’, ‘useless’ or ‘repulsive’ could represent a decent choice as well. The public insult and ridicule will teach these users a critical lesson: ‘You better use the new software and you better get damn good at using it!’. PERIOD
“Sorry. No sleep overs”: Users spend a lot of time on social networks like Facebook and Twitter. They also spend time getting coffee or lunch. All these activities take time away from learning how to use business analytics software. Would it make sense to cut off access to social networks? Also, would it make sense to force the inexperienced users to forgo coffee & cigarettes during the early stages of their learning experience? Also, isolating those users that struggle the most could help? Find them a remote office or conference room? Social interaction is fine. But it should only happen in a highly controlled manner.
“I am going to take all your stuffed animals and burn them.”: Some users are weird. They complain, they refuse, they battle. In other words: they just don’t get it. Soft skills only go so far. For those particular users we should start threatening to take their office decoration away: their favorite coffee mugs, their stuffed animals, their stress balls, etc.. And don’t just stop there. Some users need more drastic measures: smash their coffee mug in front of them, spit on their awards, rip their stuffed animal apart. That will teach them a lesson. And remember: Life is hard after all. Life is a battlefield. This type of experience could help them excel in other areas of their job as well.
What do you think? Seems like a good list of things. Let’s all strive to produce the best end-users a company could ever have! Would love to hear about your experiences with this. Maybe we will be able to read about your experiences in the Wall Street Journal. I could envision something like “Why Tiger Managers are Superior“…….
London Heathrow, Terminal 5. 6pm GMT. I am tired. Really tired. Museum visits, shopping trips and conference whirlwinds belong to a category of highly rewarding and fun activities, yet they also belong to the category of activities that can only be classified as “Holy smokes, why am I so exhausted?” type of things.
THE GARTNER BI SUMMIT
Gartner does a fine job of producing highly relevant and engaging events. The 2011 EMEA Summit was no different. Over 700 people attended the well organized event at the Westminster Plaza hotel in London.
OPENING DAY
The opening day offered some great presentations. I liked the Gartner keynote which highlighted some of the key themes that are happening in the market. A few interesting things that came up include:
62% of all EMEA organizations have a BI strategy. That is a positive change from the prior years.
BUT…only 1/3 of all organizations have a real BICC. But Gartner highlighted that a BICC is somewhat of a ‘secret sauce’ for success in BI.
Organizations are very interested in Predictive Analytics, In-Memory, Master Data Management & Dashboarding
Success means going for BIG BI: not just platform but rather a complete view of people, process & technology.
PANEL DISCUSSION
Nigel Rayner hosted a great and fun panel session with participants from the main BI vendors. Peter Griffiths represented our IBM Cognos team. Nigel did a great job with the panel and he got the audience actively involved by voting on certain topics. A few interesting points:
iPads everywhere
A big majority of the participants believe mobile BI will play a huge role in the future. Not a big surprise.
Collaboration & social media will change the game for BI
Many people believe that a large portion of BI spending will go SIs instead of software vendors.
90% of the audience members believed that predictive analytics will become accessible to a broader user spectrum
Many delegates are unsure whether BI hardware & software should be bundled
OUR KEYNOTE & WORKSHOPS
On the second day of the conference, Leah Macmillian and I delivered the IBM keynote. It was great to see so many people in the room. We spent almost 50% of our allocated time on showing Cognos 10. Many people in the audience seemed surprised as we were the only vendor to show product. A bit of a surprise to me. Why would you spend so much time talking about future direction instead of showing what you can do now? Everybody has great ideas but at the end of the day we need to deliver value now. Right? No surprise: We did get a ton of questions following our presentation.
CONCLUSION
Kudos to Gartner. It was a great event. Excellent content and excellent participants. I really enjoyed the networking with so many great people. It was cool to see that our IBM portfolio pretty much covers all the main trends that were discussed at the Summit: Mobile, Collaboration, In-Memory, Predictive Analytics etc.. Cognos 10 is a great platform. Gartner’s assessment of IBM’s position in the market clearly highlighted this.
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