Agenda - IDC Business Intelligence Roadshow 2011 Kiev | Events | IDC CEMA

09:00 – 09:30

Registration and Welcome Coffee

09:30 – 09:40

Welcome Remarks from IDC

Vladimir Pozdnyakov
Country Manager, IDC Ukraine

Володимир Поздняков
Регіональний менеджер, IDC Ukraine

09:40 – 10:05

Trends in Business Intelligence
Dmitry Gudkov, BI consultant, blogger

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10:05 – 10:30

BI-platform: what and how to choose - Ukrainian realities

Maxim Bodaev
Director of Business Development , Citia Business & Technology Consulting

Максим Бодаєв
Директор з розвитку бізнесу, Citia Business & Technology Consulting

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• Architecture of Information Management System and place of the BI-Platform in it

BI-platform is just a small part of any information-processing system, but end-users of information judge the whole system on it (the platform)

• BI-platform vendors: what they have to offer

Despite the variety of BI-platform vendors, only IBM, Microsoft, Oracle, SAP, QlikTek and SAS are represented at the Ukrainian market, with the latter two not offering BI-platforms in its classic form

• Considerations for BI-platform

The functionality of the platform itself has ceased to be one of the most important factors.

• Conclusions and recommendations



10:30 – 10:55

Master data effective management for Business Intelligence tasks
Vasiliy Khasanov, Deputy Technical Director, Data Integration Software

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10:55 – 11:15

HP Vertica Analytics System: the solution for 'big data' analytics
Stephane Bureau, EMEA BCS Programs Manager, HP ESSN Marketing HQ

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Big data is here now and is growing exponentially. With the right technology, businesses can harness structured and unstructured big data for a strategic advantage. A solution designed from the ground up to manage big data can support analytics for superior tactical and operational decisions and ultimately for increased profits. The session will provide guidance on the technical approach that HP has taken to manage customers' big data requirements. Attendees will learn how a scale-out, shared-nothing approach using low-cost standards-based blade servers running on Intel ® Xeon ® Processors and Linux is superior to architectures that use proprietary dated designs. Session participants will learn how column-store architecture is faster than row-based, how the use of aggressive compression means reduced storage costs, how concurrent loading and querying means no need for batch loading or slowing down to load data, and how the inherent high-availability design protects your big data.

11:15 – 11:25

Q & A Session

11:25 – 11:50

Coffee Break & Partners Exhibition

11:50 – 12:20

Modern IT environment requires advanced Data Integration solutions
Jan Gajdos, Data Integration Solutions Sales manager CE North region, Oracle

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12:20 – 12:40

Presentation by Microsoft

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12:40 – 13:00

Planning, budgeting and plan/actual analysis automation for banking: implementation experience
Dmitry Kazany, Senior IT Architect, Sitronics Information Technologies Ukraine

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13:00 – 13:10

Q & A Session

13:10 – 14:00

Panel Discussion