Learn how you can make Data Mining work for you.
Most of us have heard of the magic of Data Mining. No doubt you know that it is part of the Business Intelligence platform offered by Microsoft. In this one-day seminar, Rafal Lukawiecki aims to demystify this technology in four easy-to-understand sessions packed with practical information. Learn what Data Mining and Business Intelligence can do for you, how to deploy and manage it, how to use it, and how to make it available to other parts of your IT environment. Microsoft has taken Data Mining technology to a new level, making it accessible to all IT Professionals and, with your help, to all of your users.
After attending this seminar Data Mining will no longer seem like black magic to you.
Agenda
| 09:20 |
Opening and Introductions (20 min)
After introductions, we begin the day with an overview of the agenda highlighting the key topics to be covered and the logistics of the event. |
| 10:40 |
Introduction to Data Mining (80 min)
To commence, we will discuss the concepts and the terminology used in the discipline of Data Mining. To make this session as practical as possible, we will then review the common scenarios and applications for the use of Data Mining. We will also look at the "bigger picture" of the discipline of Business Intelligence and see how Data Mining is a part of it. Also in this session we will introduce the fundamental process for data mining, looking at the concepts of data assets and their preparedness. This session will end with a look at the technology product roadmap showing you relationships between Data Mining and technologies of Microsoft SQL Server 2008 & 2005, Microsoft Office 2007, and other systems. At the end of this session you should have a good understanding of applications of Data Mining. |
| 11:00 |
Working with Data Mining (75 min)
You are ready to mine data-what are the steps and what is the recommended order? This session covers the already introduced Data Mining Process in detail. We will study its main steps: model preparation, model training, testing and evaluation of the built model, deployment, and ongoing model maintenance. We will spend time looking at possible exceptions and problems that you may be faced with in this process, such as missing or inconsistent data, or even data that seems fine but produces strange results. In the end, we want to make sure that the intelligence you are gathering is of quality that you expected. At the end of this session you will know how to use data mining well. |
| 13:15 |
Using Data Mining in Your IT Systems (Part 1 & 2 ) (75 min)
The two afternoon sessions will apply your knowledge of Data Mining to practical situations and cases that you are likely to encounter in your professional life. We will look at a number of canonical applications of data mining from the perspective of a practical scenario in order to show you how to correctly select the best features of Data Mining technologies. For example, when we look at the scenario of customer segmentation in a consumer-oriented company, we will help you chose the best of the data mining algorithms available and configure its parameters correctly. We will pay attention to common issues that may arise, such as the seasonality of data over a sales year, and we will help you decide when it is correct to rely on sampled data and when you may want to use the entire database instead. By following this pattern a few times we hope to cover all the necessary technicalities of data mining toolkit so that you are ready to use this powerful technology straight away. Before we close this session we will present you with uses of data mining that benefit your own, day-to-day, tasks as an IT Professional, System Administrator, or, perhaps, a Security Officer. For instance, we will show you how you could use data mining to better understand your infrastructure performance characteristics, to build new, higher-level data sources, or, perhaps, to discover insecure chains of infrastructure events that could lead to fraud. We hope that at the end of these two sessions we will have enabled you to work with the intelligence that previously was hidden, inaccessible, or just unknown across your IT systems. |
| 16:00 |
Q&A Session (30 min)
For those attendees wishing to ask more questions or to discuss additional issues that were not covered during the day we plan a short session. Please prepare any questions in advance, if possible. |
Topics covered
- Concepts and terminology.
- Common scenarios and applications.
- Data Mining as part of Business Intelligence.
- Fundamental process for data mining: model preparation, model training, testing andevaluation, model deployment, and ongoing model maintenance.
- Correct choice and usage of data mining techniques and algorithms for a wide varietyof scenarios and cases.
- Possible exceptions and common problems affecting data quality and recommended solutions.
- In-depth look at the data mining toolkit and its configuration and parameters.
- Uses of data mining that benefit day-to-day tasks of an IT Professional, a System Administrator, or a Security Officer.
- Technology product roadmap covering Data Mining and Microsoft SQL Server 2008 & 2005,Microsoft Office 2007, and other systems.
Objectives
This roadshow aims to educate the IT Professional about Microsoft DataMining. It will show, in a practical way, how data mining can be used in their IT infrastructure to support real business scenarios demystifying the perception that Data Mining is complex, untested or designed for its specialists only.
Abstract of the day
Most of us have heard of the magic of Data Mining. No doubt you know that it is part of Business Intelligence platform, offered by Microsoft SQL Server 2008 and 2005, and Microsoft Office System 2007 amongst others. We all know of companies that made fortunes by having carefully extracted intelligence from mountains of data - with Data Mining. Let us demystify this technology in our seminar. In four easy-to-understand yet packed with practical information sessions you will learn about what Data Mining and Business Intelligence can do for you, how to deploy and manage it, how to use it, and how to make it available to other parts of your IT environment. While in the past it may have taken a university degree in Statistics to make use of Data Mining, Microsoft has taken the technology to a new level, making it accessible to all IT Professionals and, with your help, to all of your users. We promise that after attending this seminar Data Mining will no longer seem like black magic to you. Perhaps, we may even help you embark on a new path in your career towards becoming someone akin to a Keeper of Enterprise Intelligence. Let us share our enthusiasm with you.
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Taxa de participare
pentru acest seminar
este de
80 USD
sau
200 RON
- TVA inclus -
Seminarul va fi sustinut in limba engleza
4 decembrie 2007
Bucuresti
Hotel Marriott
Sala Constanta
As Strategic Consultant at Project Botticelli Ltd, Rafal is responsible for analyzing and forecasting trends in the field of Information Technology. He has helped to build and restructure software development houses and IT consultancies to promote efficiency and productivity while stimulating team spirit across organizations. Rafal specializes in IT architecture models, security and cryptography, management of solution delivery, and more recently statistics and data mining. He is a frequent and popular speaker at Microsoft events such as Tech Ed Developers and Tech Ed IT Forum.
Expected audience
IT Professional in an EMEA-sized enterprise. Seminar will also appeal to smaller organisations in which IT Pro may have occasional system development or solution deployment responsibilities. |