Applying the 7 Guiding Principles to ECM

The Capgemini approach to an Insights-Led Enterprise is based on 7 guiding principles which we believe organisations should adopt if they want to truly harness the value of the data and information which they hold. The vast majority of this information is stored as unstructured data in documents, spreadsheets, pictures, audio files and video files. It is important that organisations consider ALL the information they hold, including this unstructured data, when considering the value they can gain from their data. But how do some of the 7 principles apply to the Enterprise Content Management domain?
Of the 7 principles it is the first 3 which traditional ECM applies to and I’d like to take the opportunity to explain how and why.
Principle 1: Embark on the Journey to Insights within your Business and Technology Context
Whilst a lot of people will think this is a no-brainer it is surprising how many times organisations do not consider the business AND technology context of the solutions they develop. This is common across most, if not all, technology implementations but can be especially common in ECM deliveries when the focus is on delivering an ECM platform which serves multiple needs in an organisation. Without this shared context the chances are that the delivery will not be successful.
Principle 2: Enable your Data Landscape for the flood coming from Connected People and Things
This is where ECM has a key role to play. As we see more and more people and devices connected they will need to be served content and they will also be creating content which needs to be captured and managed in a secure, compliant and efficient manner. Lets take an example which may not be too far away. It is feasible that cars will all be fitted with cameras which will record journeys, these videos could then be used for insurance purposes or even in the event of legal proceedings. 
Where are you going to store these videos, how are you going to secure the content and then make it available to the right people and organisations? An ECM platform will enable this.
Principle 3: Master Governance, Security and Privacy of your Data Assets
In my experience the governance and security of information is an area where ECM provides leadership over some of the other information domains, especially Information Lifecycle Governance. As we see the blurring of the lines between structured and unstructured data then the techniques used commonly in ECM implementations, e.g. Records Management, will become more and more applicable in other areas. As the amount of information increases it will become more and more important that organisations treat this information with a duty of care and ensure it is protected and used only for the purposes which it should.
Of the remaining 4 principles, well these still apply to the value which can be gained from unstructured data. I would argue that unstructured data will provide the majority of the value if these principles are applied to the treatment of unstructured data.
Principle 4: Develop an Enterprise Data Science Culture
Principle 5: Unleash Data- and Insights-as-a-Service
Principle 6: Make Insight-driven Value a Crucial Business KPI
Principle 7: Empower your people with Insights at the Point of Action
In Capgemini not only do we believe that the 7 guiding principles will enable organisations to to gain real value from their information but we also believe that treating all information according to these principles will provide the best opportunity for organisations to really drive insight at the point of action.

Related Posts

AI and analytics

Spotlight on Capgemini NA @ Informatica World 2018 | May 21–24 in Las Vegas

Jackson, Dusty
July 10, 2018
Spotlight on Capgemini NA @INFA World 2018 with key representation from Dusty Jackson, Scott Sweet, Keith Reid, Steve Jones, Goutham Belliappa and Mansoor Aleem
Consumer Analytics

Bullwhip effect applied to a data supply chain

Denis Sproten
June 22, 2018
Take a look at how the bullwhip effect translates into the data supply chain built for your organization.
Artificial Intelligence

Even the artificial intelligence you buy is prejudiced

Reinoud Kaasschieter
June 21, 2018
When wrong data is fed into the algorithms, they also make the wrong decisions. Learn why do bots contain biases.

By continuing to navigate on this website, you accept the use of cookies.

For more information and to change the setting of cookies on your computer, please read our Privacy Policy.


Close cookie information