Professor Herbert Buckert from Berkman Klein Center for Internet and Society at Harvard University, had a great speech on information and data management starting with the question “What is the information perspective of your company?” Before discussing the data management process, each and every manager should reconsider this topic. Having had the opportunity to join the round table discussion with Prof. Burkert I have a few valuable notes to share.
Prof. Buckert’s advise on information management:
1-Digest the information
2-Harness the information
4-Control of information flow
Trust management in information management is also an other important part. Building and sustainably managing ‘trust’ has 4 key aspects.
1- Dialogue (organize the information flows) : Feedback is the most important element of dialogue management. Encourage with your feedbacks and act upon the feedbacks you receive.
2-Consent (Atmospheric meaning of concent) : Openness is the key. Leave no space for surprises and no failure on taking the other side seriously
3- Security : Show security to your partners, they all should feel secure in terms of information
4- Trust : Information relations should be embedded with respect for a sustainability in trust
Brief conclusion of his speech on the expanding technological tools for data management and privacy issues was; Technology can not solve social and political problems. Technology can provide incentives for such problems.
Feeling impressed on every word of his, I would put my comment with a parallel vision. We all should be welcoming technological developments keeping in mind the trust management issues. The concept of exponentially growing amount of data is defined with the term “big data” and intelligent data analytics softwares collecting and analysing unstructured data are being used in many different fields. Intelligent softwares has the ability to process past data and produce new data, however reality check and real life use cases stands apart the engineered information. The process starting with digesting the information whether it is a past data or a newly produced one by technological tools, controlling where this information comes from, where it goes and what is the purpose of this flow should all end up with the reality check to see if the produced information has an equivalent in reality or real life. Informational power balance is also an important measure in data management and data privacy. Observing and rebalancing the informational power is for collective interest and is the key for trust management.