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Copyright © 2012, Scale Focus AD, www.scalefocus.com Welcome Lyubomira Mihaylova Business Development Manager [email protected] M.: +359 885 635 887 17 October 2012
Copyright © 2012, Scale Focus AD, www.scalefocus.com
Welcome
Lyubomira Mihaylova
Business Development Manager
M.: +359 885 635 887
17 October 2012
2 www.scalefocus.com
About ScaleFocus
• Fastest growing software company in
Bulgaria
• Professional services for:
› IT consultancy, software design,
implementation and maintenance
› Professional staffing and outsourcing
• Outstanding technical and business team,
50+ FTE
• Customer Base:
› US, Canada, EU, Bulgaria
• Industry Focus on Telecom, Insurance,
Financial Services
3 www.scalefocus.com
Key Customer Accounts
• Atos, BG
• Trader BG
• KPMG, BG
• DZI, BG
• Taxeo, FR
• Velcom, BS
• Concord, US
• Groundswell, CA
• IBM Global Procurement
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Technical Areas Of Expertise
Service Oriented Integration (SOI), Business Process Management (BPM)
Business Analytics, Data Warehouse and ETL
Mobile Solutions and Applications
Automated Testing and Software Quality Assurance
Infrastructure and Application Virtualization
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IBM Partnership
Focus on niche technologies:
• IM Netezza and Big Data
• IM Cognos BI
• IM SPSS Enterprise
• IM SPSS Statistics
• IM Data Management (DB2, Informix)
• IM InfoSphere (DataStage)
• WebSphere BPM
• WebSphere Core
• Rational
Since 2012,
authorized for software
resell and local support
on key IBM products
Copyright © 2012, Scale Focus AD, www.scalefocus.com
Smarter Analytics
with Netezza
Krum Daskalov
BI & Data Warehouse Practice Lead IBM Netezza and InfoSphere DataStage Expert
Oracle Administrator Certified Professional
Teradata Certified Specialist
Microsoft SQL Server Administrator
17 October 2012
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Faster Time to Value - Netezza
Netezza:
• AFFORDABLE
• SIMPLE
• RELIABLE
• SUPER FAST
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Evolution of Analytics: from Reporting to Action
Computational
Complexity Data Volume Latency
MIS
Standard
Reports
EIS
Drill Down
DW & OLAP
Ad Hoc Queries
Analytics
BI / Forecasting
Advanced Analytics
Predictive Modeling/
Optimization
1970 1980 2000 2010 1990
What
happened?
How many?
How often?
How many?
Where?
How much?
Where?
What will happen?
What is the best
choice?
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Types of Data Warehouse
Pseudo Data Warehouse
- Inefficient
- Unreliable
Old School Data Warehouse
- Heterogeneous
- Expensive and time consuming
10 www.scalefocus.com
Evolution of Analytics: from Reporting to Action
Computational
Complexity Data Volume Latency
MIS
Standard
Reports
EIS
Drill Down
DW & OLAP
Ad Hoc Queries
Analytics
BI / Forecasting
Advanced Analytics
Predictive Modeling/
Optimization
1970 1980 2000 2010 1990
What
happened?
How many?
How often?
How many?
Where?
How much?
Where?
What will happen?
What is the best
choice?
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Before Smarter Analytics…
- Manual data manipulation vs. focusing on
strategic analysis
- IT-centric instead of Business-centric
- Time lag in delivery
- Way too long ROI
Before…
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- Minimal technical skills required and fast
utilization
- Empowers business owners to focus on reports
- Faster time to value
- Immediate results
After…
Smarter Analytics with IBM Netezza
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Relational
Cognos
Netezza
SPSS Modeler Server
SQL Pushback
Dynamic Query ROLAP optimized for Netezza
Optimized SQL for Netezza
Invoke in-database Mining
OLAP on Relational
SQL Optimized For Netezza
FPGA Memory
CPU
FPGA Memory
CPU
FPGA Memory
CPU
Host
Smart Integration
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IBM Netezza Compatibility
Analytics without constraints
Visualization & BI Analytics & Tools
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Development
Admin
Requirements met
= Benefit
Development
Admin
Requirements met
= Benefit
Resources Resources
- More development resources - More productive development
- Many administration resources - Development held back by technical implementation details
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Benefits
Benefits
Traditional Solution Constrained by Technology
IBM Netezza Solution Provides More Benefits, Faster
Impact and ROI
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Case Studies
ITALY Telecom Italia
FRANCE Alcatel-Lucent
GERMANY Count+Care
Reduced Churn
Greater Customer Satisfaction
100% boosted
network performance
Increased profitability
Acquire near-real-time insights and visibility
Reduced analysis time by 97 percent
Predicting energy
consumption model
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Questions?
Krum Daskalov
mobile:+359 888 415 732
phone: +359 2 424 64 84
