Technology Transfer - since 1986

Leading Edge Information Technology Education

If you think education is expensive, try ignorance...

Derek Bok

First Class Speakers

Our motto has always been: “Go to the source”, and this research has brought us together over the years with key figures in the history of Information Technology.

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Courses and Conferences

Our courses address the most critical topics of Information Technology.

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Online Events

Due to time zones, events presented by American speakers will be spread over more days, and will take place in the afternoon from 2 pm to 6 pm Italian time

Generative AI:
Creating a LLM Chatbot for Business

ONLINE LIVE STREAMING

Apr 28 - Apr 29, 2025

By: Ivan Reznikov

Artificial Intelligence, Machine Learning and Data Management

ONLINE LIVE STREAMING

May 05 - May 06, 2025

By: Derek Strauss

Practical Guidelines for Implementing Data Products

ONLINE LIVE STREAMING

May 08 - May 09, 2025

By: Mike Ferguson

Data Stewardship

ONLINE LIVE STREAMING

May 12, 2025

By: Nigel Turner

Generative AI
Unlocking Business Potential using Agentic AI with LangChain and LangGraph

ONLINE LIVE STREAMING

May 15 - May 16, 2025

By: Ivan Reznikov

Information Management Fundamentals for CDMP Certification

ONLINE LIVE STREAMING

May 19 - May 21, 2025

By: Winfried A. Etzel

Embedded Analytics, Intelligent Apps, AI Agents and AI Automation

ONLINE LIVE STREAMING

May 22 - May 23, 2025

By: Mike Ferguson

The Smart Data Protocol

ONLINE LIVE STREAMING

May 26 - May 27, 2025

By: Derek Strauss

Pre-Project Problem Analysis

ONLINE LIVE STREAMING

May 29 - May 30, 2025

By: Adrian Reed

Free article of the month

Nigel Turner
April 2025

Upcoming events by this speaker:

Data Stewardship: The engine of Data Governance and Data Quality Improvement

When designing and implementing a data governance framework, one of the key activities is to define the roles required to ensure that data is managed as an asset, including those roles which help to tackle the data quality problems that any governance programme will uncover and seek to fix.   As governance is a multi-faceted activity, embracing data management, business process improvement, organizational culture change and IT, many different roles will be needed.  These include the need for a data champion at executive level who will promote the importance of data governance and data quality to senior managers, a data governance lead who owns the overall framework and coordinates all activities to ensure the programme delivers its promised benefits, data owners, based in the business, who are accountable for defined data domains and who specify and enforce the policies and controls on the data they manage, and IT and data quality analysts and specialists who are able to quantify the scope and scale of data quality problems, design and implement improvement activities to address them, and are able to apply data quality tools as part of their armoury.    

All the above roles are essential and have an important part to play in ensuring data governance and data quality improvement become part of the fabric of any organization.  But there is one role which is critical to the success of any data governance and / or data quality initiative.  That role is that of a data steward.  In my experience of designing, implementing and reviewing both governance and quality programmes, whether or not they are successful usually critically depends on whether data stewards are in place and if they are in place, their effectiveness in the role.  Without embedded data stewardship, all too often initiatives quickly mutate into talking shops, where people ponder fixing data problems but do not have the time, skills or motivation to deliver the improvements required.   This can cause many well-intentioned governance and quality programmes to fail to meet expectations.  For example, in a recent Experian survey published in April 2024 which surveyed 250 data professionals in the UK and Ireland, 84% stated that data governance was ‘the backbone of effective data management’.  Despite this, only 15% stated that their data governance efforts are ‘fully meeting expectations’ with the remaining 85% conceding that their endeavours are only ‘partly meeting expectations’ or ‘falling short’. 

Continued to read…

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