Is Your Enterprise Digital Ready? - Summer Time Reading Recommendations

Sometimes it is better to make sure that other people think that they had the idea first. As Information Professionals are not always believed when they try to persuade their business colleagues that they need to change their ways, if they are going to get the best out of their Digital Strategies and Investments.

The truth is that there are some fundamental issues to address which separate Good or Average performing companies from Excellent ones when it comes to exploiting IT or Digital investments and transformations. Proponents of Digital Strategy, Agile and DevOps often raise them, but due to the fact that these issues are being raised in a technological context, non IT colleagues tend to either listen and not hear or just dismiss them as the mad ravings of techno boffins.

Key among these are:

1. Having a "Real Business Strategy" based on deep market insight and how to disrupt or exploit it in your favour;
2. Working as a Team within a healthy Business Culture;
3. Adopting Design Thinking to help empathise with customer needs, really understand what you are trying to address and then to creatively address options and iterate design to create elegant and well targetted solutions rapidly, whilst embracing leraning from failure as a critical part of the approach;
4. Systems Thinking to understand the end-to-end process, identify and manage critical business bottlenecks and organise around product or work delivery, instead of hierarchical functional silos.

A large part of this is really concerned with taking an ego-less multi-functional team approach to addressing what is really needed and then pursuing continuous delivery, automation and improvement in small steps. 

Fortunatley there are some great business books on some of these subjects which evryone should be encouraged to read as they address the issues from a more general business perspective and introduce the key concepts that all the Digital Geeks are so keen on.

My recommendations are:

Good Strategy Bad Strategy is a great expose on how to do Strategy properly. Most readers will recognise many of the bad examples which are lacerated by Richard Rumelt (one of the leading fathers of Business Strategy) in what is a fairly easy and entertaining read.

Winning Teams Winning Cultures  - addresses a lot of the key issues in building a positive enterprise culture. This comes from Larry Senn (of Senn Delaney a culutural change consultancy) and Jim Hart who are long time practitioners in the field of cultural change. It's an interesting book, because just like democracy it is difficult to bomb culutural change from 40,000 feet into an organisation. It requires authenticity, long term commitment and sytematic sweating by the management team to achieve.

The Human Constraint - the author (Angella Montgomerry) takes the principles advocated by Demming and Goldratt and updates them to apply to all businesses (not just manufacturing) in the practical adoption of system thinking and the Theory of Constraints to business in general.

Finally there are plenty of sources on Design Thinking available on the internet. The UK Design Council publishes the Double Diamon model which provides a simple model for explaining the process. I recently saw a great webcast by Ileana Stigliani, fom Imperial College Business School, on the subject Unleash Innovation Through Design Thinking

(see: https://www.ivyexec.com/professionals/classes/details/unleash-innovation-through-design-thinking ).

GDPR, CIO issues, Lean Data & Data Portfolio Management

Last night's CIO event hosted by Harvey Nash and KPMG was held to launch their 2017 CIO Survey "Navigating Uncertainty".

In the Panel discussion afterwards, one of the key issues raised was about "knowing where your data is". GDPR is certainly driving this, for personal data in Europe and anyone who trades with organisations or consumers based there. As its difficult to implement the "right to be forgotten" if you don't know what data you hold and where it is. Similarly, SoX in the US has driven similar concerns about Financial data. The move to "Cloud First" also compounds this need, as it is core to successful integration.

So why is this such a big deal as much of GDPR is about doing things which a business really ought to be doing anyway? basically its ancient history. Most large organisations have grown partially by merging with and acquiring other organisations. Their management teams often have the tendency to declare victory before full integration occurs.

Then there are cost cutting issues. Most businesses have been through boom and bust cycles of  large investment followed by cost cutting and asset squeezing. Often this has included head count reductions or outsourcing. Each of which ensures that knowledge about where things are leaves the organisation. Many service providers tend not to document things well, if they are allowed to get away with it, as this helps keep effort and FTE (therefore costs) down. There is natural staff churn of anywhere between 5% and 20% per year in typical companies, depending upon culture, rates of pay and opportunities. Documentation does not keep pace with lost knowledge as exit processes are usually poor in knowledge transfer.

Finally, DIY activities in the business often results in unofficial applications being adopted, especially as XaaS makes this easy to do. So put this all together and it is little wonder that organisations often do not know where their data is or even what data they have. This is a situation which brings inherent risk. If an organisation does not know where its data is, how does it protect it. If no one knows what data is help and "managed", then how is it integrated, kept coherent, kept clean and timely? how does the organisation know what it is actually spending on data or even what the value of its data is. Then there is the small matter of compliance. How does the organisation know whether it is complying. These are all data hygiene issues which need to be addressed if digitisation is going to support a Digital Business Model.

So now is the time to introduce Lean Data and make sure that Data Portfolio Management (DPM) is practiced as part of any approach to Asset Portfolio Management. (Asset Portfolio Management = Application Portfolio Management + Infrastructure Portfolio Management + Data Portfolio Management).

Lean Data principles mean that:

• Organisations know what data they hold and manage;
• Data is classified according to subject area and criticality;
• Only the minimum data necessary to Add Value to the business is held;
• Data replication is kept to the minimum level necessary to optimise business performance;
• Data Value is determined by its utility in Serving the Customer, Supporting Essential Capability, Protecting the Organisation, Providing Insight for Business Decision Making.

Data Portfolio Management is concerned with:

• Knowing what data is held and where it is;
• Understanding the quality of the data;
• Knowing what technology is used to manage the data and its overall condition;
• Being able to address questions concerning issues such as criticality, protection, archiving, cost of management;
• Understanding how Master Data Management (MDM) and integration occurs;
• Knowing who has Stewardship responsibility and consumer rights for the data;
• Regularly reviewing management actions to improve Data Value and address Lean Data principles.