Thoughts on enterprise performance management 

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Intelligence and Google Analytics

My consultancy background is largely with businesses following pretty much a traditional business model where online presence is important but not fundamental to the business. Recently I’ve been dealing with a business model that is almost entirely internet based. I’ve built performance management frameworks for these traditional businesses on a fairly regular basis, and the issues that need to be addressed are usually pretty consistent. They include -

  • What to measure – how do we link measurement to our business strategy so that it can help drive value and profit?
  • How do we produce reliable measures – does the data exist and can we get it to become a regular reliable source for reporting?
  • How do we manage with the information – What management processes do we need to put in place?

Move into the internet business world, and suddenly we have a huge amount of information. I started looking at the stats supplied by 1and1, the hosting provider, and found these difficult to interpret. The sites I’m looking at are all WordPress, and Jetpack has been configured as a plugin, this gives some nice very understandable high level information showing numbers of visitors and page views. I then moved on to Google Analytics and was totally overwhelmed by data. However, I quickly concluded that Google Analytics does not give the intelligent, balanced set of measures that an internet business requires.

Firstly, an intelligent set of analytics should lead directly to appropriate management action. I spent two hours looking through some very interesting and detailed analytics which told me nearly everything about the site’s visitors down to whether they like sugar in their coffee, but, it didn’t give me the first idea what action to take.

Here we have the main problem with Big Data, we suddenly have too much information. The issue of how we get data to measure stuff seems to have all but disappeared, to be replaced by a new issue. How do we interpret all this data into something meaningful?

I started looking further, and then started to disagree even with this premise simply because that while we now have lots of data it is all concentrated around one theme, the website visitors and how they interact with content. Lots of stuff we would try to understand and measure in a traditional business doesn’t fall into this area, and I believe we still need to look at a lot of it in the online world.

Lets go back to some performance management basics.

  • A performance framework is all about delivering a business strategy effectively and creating maximum value. Value isn’t just generating cash, though we all agree this is an essential part of the business. Creating value includes all the goals we set up the online business to deliver. For many this includes fulfillment and freedom. I’m not sure Google has a dashboard for these yet.
  • The measurement system is about measuring what really counts. Here’s where too much data is a big problem. Which bits really count? So how do we select the individual analytics that are the most important, and how do we decide what else needs to be measured but doesn’t feature in the analytics we have.
  • Leaving the data we have aside, we need to think about how value is driven out of the business. What are the factors that have the biggest impact on value? What are the factors that we have the most control over? If we can hit on a set of measures that are both high impact and we have most ability to control then we have a very powerful tool to manage our business.
  • Measures need to be balanced, so that a holistic view of the business is given. We don’t just look at site visitors and how they interact, we also need to look at the key financials of the business, we need to look at the back office processes and systems we need to use and how effectively we use them, and we need to look at making the best of all the content and potential content at our command. Balance also means we don’t just want analytics that tells us what happened in the past, we need analytics that can be predictive of the future, so that we can prepare for or avoid the crisis up the road in a week or two’s time.

If we can then make sure we have a balanced set of measures, all with high impact and influence, we have a real winner, and we can soon be delivering even greater value.

My premise is that setting up a performance framework for an internet business is no less straightforward than for a traditional one, and that most of the tools techniques and methodologies needed to build the framework are equally applicable in the internet business world

Online business owners, what are your business issues? what keeps you awake at night? Can we develop a product that can help manage business performance effectively and address some of this head on?

If this has started you thinking then sign up here and lets explore whether we can work together and help me undertake some research.


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Do we make things too complicated?

We are now living in a world where there are some pretty powerful tools that are crunching vast amounts of data, and making connections between crumbs of data. Back in the day I remember using a Lotus spreadsheet with 256 rows and 32 columns and thinking it was a wonderful analytical tool. Things have moved on a long way, but I do occasionally wonder if we make things too complicated and forget about analysing just the basic facts.

I was browsing the web and came across this site, whatsright4u and there are some interesting tools on offer to help take an analytical look at some big personal decisions. The tools on offer are spreadsheet based, and take the user through a series of questions to help clarify the criteria that are the most important to decide. At the moment the site offers a job seekers guide and a house hunters guide.

What struck me is that we are always focusing on big business decisions when we use analytics, and we undertake some pretty large data analysis exercises in the process. The power of the good old spreadsheet and a logical process is often overlooked. I wonder just how often we have missed the simple answers by looking for the complex ones?

One of my key thoughts as we approach 2012 is simply “keep things simple”.

 
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A useful overview of Big Data

We know that there is nothing new about data analytics, but in the past couple of years computing, storage and bandwidth capacity have become so cheap that there has been a huge step change in whats possible. Facebook, Groupon and Linked-In are all using Big Data as a fundamental part of their business model.

NPR, the Public-radio network has recently broadcast a 2-part series about Big Data on its Morning Edition program. If you have 10 minutes to spare, it’s a great overview of the impact of Big Data and the data scientists who derive value from the data. Part 1 is about companies that make use of Big Data, and the implications for businesses and individuals. Part 2 is about the demand for data scientists to analyze big data. (Key quote: “Math and Statistics are the sexiest skills around”.) You can listen to both segments online at the links below.
 
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How much does analytics pay back?

Published on December 8th, 2011 by in Analytics

A new report from Nucleus claims that Analytics pays back $10.66 for every dollar spent.” 

This seems like an incredible claim, and I’d really appreciate the views of others whether this is genuine.

Cognos have already blogged that this reflects the experience of one of their Key clients. Is this typical? any opinions out there?

 
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Why do scorecards fail?

Many organizations have implemented balanced scorecards, for many it has been a huge success, but for some there has been little impact, here are a few thoughts on what can go wrong if the scorecard isn’t implemented properly

The strategy is insufficiently defined

The scorecard is all about turning strategy into value, so if the strategy doesn’t properly reflect where the organization wants to go then the scorecard cant help guide the journey. If a sound process is used to develop the scorecard it should become obvious very quickly if the strategy is lacking. On a number of occasions I’ve known it to be necessary to stop work on the scorecard and take the management team back to reconsider the strategy and come up with something that is much better defined and reflects the true direction the business must head.

The scorecard doesn’t align with the strategic objectives

Even when the strategy is right the scorecard might not properly align to it. The management team must understand what the business drivers are that will underpin the strategy, what levers can be pulled to move these drivers in the right direction, and measure the metrics that will indicate whether those business drivers are being properly managed.

The metrics underpinning the scorecard do not follow “good measurement” practice:

These metrics must assist management in a practical way to deliver the outcomes required by the strategy and therefore must:

  • Measure those things that have greatest impact on the achievement of strategic outcomes
  • Focus on the things that the management team can directly change, or has greatest influence over so that the information reported can allow proactive management intervention.
  • Give a balanced view of performance right across the four quadrants of the scorecard
  • Provide leading as well as lagging indicators of performance, so that early warning is given and corrective action can be taken on a timely basis.
  • Ensure metrics are properly defined, so it is clear what is being measured and how it is calculated.
  • Have appropriate targets and tolerances set against them that link to a RAG traffic lighting system
  • Be capable of cascading through the organization so that managers are presented with relevant information relating to their particular area of responsibility;
  • Propose content that is practical to implement, and that can be populated from data that is available for collection.

Targets & tolerances not well set

Current performance must be properly understood and a baseline set, then realistic targets can be established. The importance of getting the baseline right is often underestimated. Put simply, the baseline represents how the organization is currently performing. In financial areas it should be quite straightforward, as the accounting systems should already record current performance, in other areas it might be more difficult, and problems usually stem from inaccurate information. Suppose for a moment customer complaints is a key metric. Do you really know what the current complaint level is? Chances are that once something arrives on a scorecard then more attention is paid to it and measurement becomes more accurate, as this happens we must be prepared to adjust targets so they remain meaningful.

In short targets need to be challenging but realistic, and tolerances need to be set around them to ensure that proper escalation takes place. Think carefully about what amber and red should mean on a scorecard, and what actions these should trigger. One possible rule is Green = on / near target, no action needed. Amber = off target, but can be remedied without escalation to board level. Red = Off target, requires board level attention, either because this is the level at which an intervention can take place, or if this is not possible to indicate to the board as early as possible that a strategic objective wont be met and therefore strategy needs reconsideration.

No link to the rewards system

If the scorecard isn’t cascaded properly into individual managers objectives then the wrong management behaviors are encouraged. Scorecards might exist at corporate level, and be cascaded down into divisions, but to be truly successful the cascade must go lower into team objectives and individual objectives. Frequently, at the lowest level teams will have clear objectives, but still not have these properly aligned to the top level strategy. Sometimes this is because at the lowest level focus is entirely operational, and while this is vital, sight of the strategic goal cannot be lost.

Measurement not management

The scorecard is a management system, not a measurement system. Metrics and traffic lights should direct management action, and allow management by exception. If corrective action is not taken then why are we bothering with the scorecard at all? The management processes put in place around the scorecard, and getting the culture of the organization right is just as important as working out what to measure and building the reporting systems and tools. Scorecard implementation must be handled as a change project with proper attention being placed on people and process.

CEO & board buy in

Above all the scorecard needs to be an integral part of managing the business. One acid test is to what extent a board meeting could be run by using the scorecard as an agenda? The main purpose of the board should be to create and deliver the strategy. The scorecard should show how strategy is turned into value. Traffic lighting on the scorecard should flag up the key areas of concern for the board and allow management by exception. Could you run a board meeting with an agenda that simply comprised the red items on your scorecard?

 
 
© Copyright Kevin Appleby 2011
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