Workshops
2011 Predictive BankingThe new science of analytics is helping financial organizations profit from their “data” and creating a new breed of smart, efficient and “predictive” banks. Financial institutions are increasinly taking a proactive role in harnessing their customer and operational data in order to fast forward into the future and predict financial mishaps before they happen. Analytics in turn can help banks answer complex questions that have a direct impact on its bottom line, such as which customers are likely to close their accounts? which are likely to default on loan and credit card payments? or which are likely to engage in fraudulent activities. Analytics can help organizations answer all these questions and more, and this event provides a comprehensive look and deep insights into the exciting world of Predictive Analytics and its application in the financial industry. Through methodological and practical coverage of state-of-art techniques, attendants will be exposed to the most popular tools of predictive analytics commonly used and will be able to select the best tool to apply within their organization. Using real-life examples and case studies, attendants will be able to understand the impact of analytics on financial institutions growth and profitability. From theory to tangible examples, this rich course covers everything you need to get started with applying analytics at your own institution..
Seminar GoalsOur seminar is designed to provide an overview
of data mining and advance banking analytics in simple easy-to understand language. The main goal is to enable professionals in banking and finance to:
- Understand how analytics is applied in the Banking
sector.
- Attain in-depth knowledge of Analytics best-practices to solve common banking and
finance problems.
- Discover how analytics can respond to the key questions of Banks executive
management.
- Shape your banking analytics skills so you can help your bank become "Predicitve Bank.
Who Should Attend?Bank Executives
- Banks CXOs, vice presidents, investors and decision makers.
Chief Risk Officers and Credit Managers
- All personnel and IT staff running or supporting credit risk modeling, operational control and management, as well as fraud prevention managers.
Marketing Managers
- Marketing managers who wish to improve customer retention rates and increase campaign up-sell and cross-sell revenues.
Technology Experts
- BI directors, developers, DBAs, as well as analysts and consultants who wish to extend their expertise to banking analytics.
Sample Topics CoveredI. Overview of Data Mining and Predictive Modeling
- Data Mining and Predictive Analytics
- The industry standard Data Mining process model: CRISP-DM
- Customer Intelligence
- Credit, Market and Operational Risk Management
- Operational Intelligence
- Learn exactly what a model is, taking a look inside this black-box to see how it is created and how it works
- Explore several example models in action, learn how to tweak variables to control modeling
- Compare and contrast modeling methods and assess its fitness of each
Event InfoDate & Venue:
April 27th-28th, 2011
Union Of Arab Banks
Beirut, Lebanon
Hotel Discounts:
Cognitro Analytics has negotiated a special rate for delegates at the Sheraton Four Point. Full
details can be found in event brochure.
Price Rates:
$1,399
$1,499
2nd and
3rd participants from the same institution receive
20% and 30%
discount, respectively.
REGISTRATION
1) Online Checkout
2) Fax or Email registration form..
Click here to downlaod registration form
3) Submit your contact information
Click here to fill in the form
4) Call Us at any of the local numbers:
Lenbanon: +9613395385 +96170781903
KSA: +96659712898
USA:
+1 646 402-6363
