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GSL
Consulting Company
GSL Company
The Company offices (Headquarters) as well as all legal,
managerial , human resources , corporate communication and
sales department are based in Vienna, Austria.
Email: glias_i@web.de, george.liasis@web.de,
linkedin.com/in/gs-l-968570a7, UID Number ATU75576048, Tel
00306907395031, Tel 004367761560901
The company has 20 employees, with a variety of skills in risk
management, accounting, information technology, strategic
controlling
GSL Company
We provide the following services:
•Data mining-,statistical analysis, business analysis
•Debugging front office systems , core banking systems, ERP
Systems, Oracle SQL, Sungard system etc
•Risk Modeling: statistical models for PD, LGD, EAD
•Strategic controlling, bank controlling
•Statistical analysis using IBM SPSS,
SAS for risk management analysis
Businesses Need Support for
Decision Making
• Uncertain economics
• Rapidly changing environments
• Global competition
• Demanding customers
• Taking advantage of information acquired by companies is a
Critical Success Factor
Characteristics of Data by GSL Decision
Making
Data Mining By GSL
• We use “Data mining techniques in order to discover patterns
in large data sets involving methods at the intersection of
artificial intelligence, machine learning, statistics, and
database systems.
• We examine large databases to produce new information. We
do the following:
– We use statistical methods and artificial intelligence to
analyze data.
– We try to find hidden features of the data that were not
yet known.
5 Tasks of Data Mining by GSL
• Classification – Categorizing data into actionable
groups. (ex. loan applicants)
• Estimation – Response rates, probabilities of
responses.
• Prediction – Predicting customer behavior.
• Affinity Grouping – What items or services are
customers likely to purchase together?
• Description – Finding interesting patterns.
Identifying Information Gap by GSL
• The shortfall between gathering information
and using it for decision making.
– Do firms have inadequate data warehouses?
– Business Analysts spend 2 days a week gathering
and formatting data, instead of performing
analysis. (Data Warehousing Institute).
– Business Intelligence (BI) seeks to bridge the
information gap.
Data Warehouse
• Collection of data
from multiple
sources (internal
and external)
• Summary, historical and raw data from operations.
• Data “cleaning” before use.
• Stored independently from
operational data.
• Broken down into DataMarts for
use.
Chapter 4 of ISBB Text
Data Mining Techniques used by GSL
• Market Basket Analysis
• Cluster Analysis
• Decision Trees and Rule Induction
• Neural Networks
Strategic Controlling by GSL
Strategic controlling strengthens the corporate
strategy
Our management consultancy controlling advises medium-sized businesses in introducing
and implementing their strategic controlling. On the one hand, strategic controlling shall
check the corporate strategy and the strategic marketing regarding the target achievement
and on the other hand, the strategic controlling establishes a basis for the strategic corporate
planning by means of a competition analysis.
Strategic controlling improves the financial figures
prematurely
We support medium-sized businesses in assessing and establishing strategic business areas,
identify divergences in the strategic objectives and initiate counteractions by means of
strategic controlling before the divergences are reflected in the operational figures. Strategic
controlling can improve the company’s livelihood sustainably.
CEO George Liasis
Career Snapshots
• Area manager risk analytics Aug 2012 – Dec 2020
• Bawag PSK, Georg-Coch Platz 2, 1018 Wien
• Senior Manager Oct 2010 – Aug 2012
• Bearing Point Consulting, Schwarzenbergplatz 16, Vienna, Austria
• Department Head Banking Jun 2008 – April 2010
• Fernbach Software S.A, 1a, Parc d’activite Syrdall, L-5365 Munsbach, Luxembourg
• Basel II Risk Head Mar 2006 – May 2008
• Emporiki Bank-Member of Credit Agricole Group, 11 Sophkleous street, Athens,
• GR 10235, Greece
• Product Manager Nov 2002 – Oct 2003
• Profile Systems and Software, Sigrou 199 Avenue, 17121, Athens Greece
• Banking Solution Consultant Oct 2000 – Oct 2002
• Profile Systems and Software, Sigrou 199 Avenue, 17121, Athens Greece
• System Administrator in Windows NT Nov 1994 – Jul 1998
• Network, University of La Verne, 1950 third street, La Verne, CA 91750, USA
GSL Projects
• Core banking system Project, Nordbank, Germany
• EAD-LGD project, strategic controlling project Bank Austria
• Databank SQl DQ project, Reifreisen Bank, Ukraine
• Asset lialibility management project, Glitnir Bank, Luxembourg
• Basel project, CBI Bank, UAE
• Basel project, Finance Bank, Turkey
• Basel project, National Bank, Greece
• Central Bank of Austria implementation and monitoring PD and LGD issues for the IRB approach

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GSL company

  • 2. GSL Company The Company offices (Headquarters) as well as all legal, managerial , human resources , corporate communication and sales department are based in Vienna, Austria. Email: glias_i@web.de, george.liasis@web.de, linkedin.com/in/gs-l-968570a7, UID Number ATU75576048, Tel 00306907395031, Tel 004367761560901 The company has 20 employees, with a variety of skills in risk management, accounting, information technology, strategic controlling
  • 3. GSL Company We provide the following services: •Data mining-,statistical analysis, business analysis •Debugging front office systems , core banking systems, ERP Systems, Oracle SQL, Sungard system etc •Risk Modeling: statistical models for PD, LGD, EAD •Strategic controlling, bank controlling •Statistical analysis using IBM SPSS, SAS for risk management analysis
  • 4. Businesses Need Support for Decision Making • Uncertain economics • Rapidly changing environments • Global competition • Demanding customers • Taking advantage of information acquired by companies is a Critical Success Factor
  • 5. Characteristics of Data by GSL Decision Making
  • 6. Data Mining By GSL • We use “Data mining techniques in order to discover patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. • We examine large databases to produce new information. We do the following: – We use statistical methods and artificial intelligence to analyze data. – We try to find hidden features of the data that were not yet known.
  • 7. 5 Tasks of Data Mining by GSL • Classification – Categorizing data into actionable groups. (ex. loan applicants) • Estimation – Response rates, probabilities of responses. • Prediction – Predicting customer behavior. • Affinity Grouping – What items or services are customers likely to purchase together? • Description – Finding interesting patterns.
  • 8. Identifying Information Gap by GSL • The shortfall between gathering information and using it for decision making. – Do firms have inadequate data warehouses? – Business Analysts spend 2 days a week gathering and formatting data, instead of performing analysis. (Data Warehousing Institute). – Business Intelligence (BI) seeks to bridge the information gap.
  • 9. Data Warehouse • Collection of data from multiple sources (internal and external) • Summary, historical and raw data from operations. • Data “cleaning” before use. • Stored independently from operational data. • Broken down into DataMarts for use. Chapter 4 of ISBB Text
  • 10. Data Mining Techniques used by GSL • Market Basket Analysis • Cluster Analysis • Decision Trees and Rule Induction • Neural Networks
  • 11. Strategic Controlling by GSL Strategic controlling strengthens the corporate strategy Our management consultancy controlling advises medium-sized businesses in introducing and implementing their strategic controlling. On the one hand, strategic controlling shall check the corporate strategy and the strategic marketing regarding the target achievement and on the other hand, the strategic controlling establishes a basis for the strategic corporate planning by means of a competition analysis. Strategic controlling improves the financial figures prematurely We support medium-sized businesses in assessing and establishing strategic business areas, identify divergences in the strategic objectives and initiate counteractions by means of strategic controlling before the divergences are reflected in the operational figures. Strategic controlling can improve the company’s livelihood sustainably.
  • 12. CEO George Liasis Career Snapshots • Area manager risk analytics Aug 2012 – Dec 2020 • Bawag PSK, Georg-Coch Platz 2, 1018 Wien • Senior Manager Oct 2010 – Aug 2012 • Bearing Point Consulting, Schwarzenbergplatz 16, Vienna, Austria • Department Head Banking Jun 2008 – April 2010 • Fernbach Software S.A, 1a, Parc d’activite Syrdall, L-5365 Munsbach, Luxembourg • Basel II Risk Head Mar 2006 – May 2008 • Emporiki Bank-Member of Credit Agricole Group, 11 Sophkleous street, Athens, • GR 10235, Greece • Product Manager Nov 2002 – Oct 2003 • Profile Systems and Software, Sigrou 199 Avenue, 17121, Athens Greece • Banking Solution Consultant Oct 2000 – Oct 2002 • Profile Systems and Software, Sigrou 199 Avenue, 17121, Athens Greece • System Administrator in Windows NT Nov 1994 – Jul 1998 • Network, University of La Verne, 1950 third street, La Verne, CA 91750, USA
  • 13. GSL Projects • Core banking system Project, Nordbank, Germany • EAD-LGD project, strategic controlling project Bank Austria • Databank SQl DQ project, Reifreisen Bank, Ukraine • Asset lialibility management project, Glitnir Bank, Luxembourg • Basel project, CBI Bank, UAE • Basel project, Finance Bank, Turkey • Basel project, National Bank, Greece • Central Bank of Austria implementation and monitoring PD and LGD issues for the IRB approach