FIMA 2014 (past event)

12 - 13 November, 2014

12 - 13 November, 2014 | QEII Conference Centre, London

Dr. Mazin Yousif, Chief Technology Officer and Vice President of Architecture at T-Systems, International

Dr. Mazin Yousif


Chief Technology Officer and Vice President of Architecture
T-Systems, International

Check out the incredible speaker line-up to see who will be joining Dr. Mazin.

Download The Latest Agenda

Day 1

Thursday, December 11th, 2014


16:55 Learn from another industry

Mastering the journey to a data-driven organization: bridging the gap between data, people and technology


FIMA 2014 is introducing a series of new formats, including several sessions dedicated to learning from another industry. These sessions are designed to bring you the most interesting and innovative data management strategies from other industries. You will find insight from colleagues in the public service, transport, retail, charity and other sectors, who are often using data in different ways than banks and asset managers. These case studies will be prepared especially with the FIMA 2014 delegates in mind, only giving you the best and most useful information, analysis and tools. Bring colleagues to attend all sessions that run in parallel and you will get the 100% value from the agenda.



Mastering the journey to a data-driven organization: bridging the gap between data, people and technology


Sometimes businesses with retort: ”I don’t think my company can jump into this yet.” They then rattle off three reasons why their organization is not ready for Big Data. Today there is no excuse for the average enterprise to delay the journey of turning the wealth of information surrounding their business into additional profit.



The 3 myths about data are, and most organisations defend their inaction with the following:

Myth No. 1:
We Don’t Have 'Big' Data, Only 'Small' Data. - Most enterprises have a data management problem. - While a typical enterprise data warehouse may be in the 10 to 50 terabyte range, the objection that “our organization only has small amounts of data, not petabytes” overlooks a few key points.

Myth No. 2: We Don’t Have the Big Budgets Required for Big Data. - But there is open source software that provides at least a 10x price performance improvement.

Myth No. 3: We Don’t Have the Data Scientists Required for Big Data. - You don’t need data scientists to start realizing substantial value.



Take an unnamed cable operator with annual operating expenses of roughly 500 million dollars to cover maintenance, repairs and overhaul of its cable network including the associated call centres. If a single data scientist is able to reduce these operating expenses by only one percentage point, the data scientist will have more than paid for themselves. Sounds interesting? If you would like to hear about the experiences of data management and data governance in the world of telecommunications, as well as find out the ideas and the vision behind the next big change in data, then this talk is not to be missed!