If the decisions are poor then BI is for nothing

 

Good Decision/Bad Decision

This has been something of a preoccupation for me of late. We spend much of our time debating the technologies. We invest valuable time in deciding if we should we go with mega-vendors (IBM, Oracle, SAP) or a challenger? We agonise over should it be cloud or on-premises, mart or warehouse, dimensional or relational? And it is all, frankly academic if the businesses is not making good decisions.

There is no shortage of material that try and make sense of why good people and great businesses make monumentally bad decisions. In the book 'Thing Again:Why Good Leaders Make Bad Decisions' by Sydney Finkelstein, Jo Whitehead and Andrew Cambell the focus is on the strategic decisions that have dramatic and highly visible consequences for the organisation.

Good People in Great Organisations Can Make Poor Decisions

An example is one of the UK's premier retailers Boots which enjoys one of the largest footfalls in the UK. Established in the 19th century, it is now a subsidiary of £20billion Alliance Boots. In September 1998, the Chief Executive, Steve Russell excitedly announced a range of healthcare offerings including dentistry, chiropody and laser hair removal. Five years later, the initiative had lost in the region of £100m and Boots needed to break open the piggy bank and look down the back of the sofa for another £50m just to close down the operation and convert that premier retail space back to being ... retail. It almost goes without saying that the changes were implemented by a new CEO, Richard Baker.

Apparently, one of the chief reasons for making the move into Healthcare services was  that a slowdown in the Beauty business 'had been detected'. However a spokesman was later quoted in the Telegraph as saying that 'they recognised that these areas are still growing strongly'.

Let's stop there for a second. Spotting trends in sales and revenue by product category is probably marketing and business 101. And even the most rudimentary business intelligence solution should be trending sales over time. Yet the trend in sales in a key category for Boots was diagnosed as slowdown and only a few months later as growth. Of course, the slowdown may have been a short-term blip but the point of trending is to smooth these out for the purpose of longer-term planning. And, the error in trending might be more understandable had it not been for the fact that the later growth was characterised as 'strong'.

Of course, I am not on the board of Boots and I have an advantage shared with all those analysts and commentator that put the boot (or should that be Boots) into Mr Russell ... hindsight. Indeed, it's a testimony to the strength of Boots as a high street giant that they can make major booboo's and still go on to survive and thrive.

And organisations are complex systems of individuals and interactions. Large organisations are very complex. This is why organisational decision making doesn't always stand up to the scrutiny of us as individuals who retrospectively try and apply the logic of rational decision making to such mistakes.

Garbage Can Theory

However, what my own experience tells me is that information is all too often disconnected from the decision.

There is a theory of organisational decision making referred to as the 'garbage can model' ('rubbish bin model' to me) It points out that organisations comprise problems, people that can solve the problems and people that make the decisions. The model asserts that these three things are typically disconnected so that the successful application of all three things appears to be random. I would add one more to James G March and Johan Olsen's model ... information from which an informed decision can be made. Of course another variable makes successful decision making even more random.

 

The availability and application of the factors behind a well informed decision go some way in helping us understand why leaders with great track records in premier businesses make awful decisions. As practitioners in information solutions I would assert that it is time that we stop building islands of business intelligence and build systems that connect more closely with the people that make the decisions. I also need to find another high street chain that can help me with laser hair removal.

Traditional BI teams are missing the boat on social analytics

Being a natural owl and not a lark, it takes something really important or deeply interesting to get me into the City for a 7.30 am breakfast meeting. Ed Thompson of Gartner speaking on how Sales, Marketing and Customer Services are making use of social media last week more than qualified.

The focus was not the usual 'if facebook were a country' hype but very much on how ordinary businesses are adapting to the world of social media and getting ahead through practical application of new and innovative solutions. Interestingly, the most common applications are brand monitoring and company watching in the form of B2B CRM and Competitive Intelligence. Sectors already adopting include Retail, Hi-Tech, Media and Consumer Goods businesses.

Insight came thick and fast but one thing that stood out was that IT are nowhere to be seen. This is, at least, partially because these are new solutions, usually cloud based and IT involvement isn't mandatory. However, with the internal department involved in less than 2 out of 10 initiatives, they are getting left behind. It could be argued that they only have themselves to blame. When I work with my customers and they tell me that a new server will take 15 weeks to build or that it will be 8 weeks before a new report will run for the first time then I find it difficult to side with the 'professionals'. Business cycles are getting shorter and shorter whilst IT surrounds themselves with processes and models designed to reduce risk, increase quality and security but that also kick delivery dates so far over the horizon that the business have stopped asking for help.

Those that are involved are busy defining standards, mandating architectures and generally slowing things down. My advice to IT departments, BI teams and competency centres involved in such activity is stop. Just stop.Things are moving quickly and by the time you have updated the version control on your feasibility study, it's out of date. Now is the time for adoption and execution (Ed's words not mine, btw) The business needs support in getting information on what their customers are saying about their products or the latest marketing campaign. The sales team want to identify reasons to pick up the phone and sell to their prospects and they want it embedded in their CRM systems and processes. Marketing want to understand what competitors are doing, if they are forming new partnerships, announcing new products and how the market is responding. All of this, delivered regularly and routinely, is becoming as critical as daily sales, fulfilment, basket analysis or the senior management team's dashboards.

As information professionals we should be helping the business corral the world of social media and on-line content. We should be investing time in understanding the new challenges and opportunities that semantic and content analytics represent.  We should also be embracing, experimenting and learning from the emerging technologies that address them. Most of all we should be adopting and implementing.

The growth of SaaS means that the business has a choice now. When it comes to social analytics the early adopters are looking at a range of vendors with innovative solutions that require no more implementation than adding a new bookmark. Then they are looking at their IT teams who are offering them a four page 'IT request approval' form. Where would you go?