Welcome. Lyubomira Mihaylova Business Development Manager. M.: October 2012

Transcription

1 Welcome Lyubomira Mihaylova Business Development Manager M.: October 2012 Copyright 2012, Scale Focus AD,

2 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 2

3 Key Customer Accounts Atos, BG Trader BG KPMG, BG DZI, BG Taxeo, FR Velcom, BS Concord, US Groundswell, CA IBM Global Procurement 3

4 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 4

5 IBM Partnership Since 2012, authorized for software resell and local support on key IBM products 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 5

6 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 Copyright 2012, Scale Focus AD,

7 Faster Time to Value - Netezza Netezza: AFFORDABLE SIMPLE RELIABLE SUPER FAST 7

8 Evolution of Analytics: from Reporting to Action MIS Standard Reports EIS Drill Down DW & OLAP Ad Hoc Queries Advanced Analytics Analytics Predictive Modeling/ BI / Forecasting Optimization What happened? How many? How often? Computational Complexity How many? Where? Data Volume How much? Where? Latency What will happen? What is the best choice? 8

9 Types of Data Warehouse Pseudo Data Warehouse - Inefficient - Unreliable Old School Data Warehouse - Heterogeneous - Expensive and time consuming 9

10 Evolution of Analytics: from Reporting to Action MIS Standard Reports EIS Drill Down DW & OLAP Ad Hoc Queries Advanced Analytics Analytics Predictive Modeling/ BI / Forecasting Optimization What happened? How many? How often? Computational Complexity How many? Where? Data Volume How much? Where? Latency What will happen? What is the best choice? 10

11 Before Smarter Analytics Before - Manual data manipulation vs. focusing on strategic analysis - IT-centric instead of Business-centric - Time lag in delivery - Way too long ROI 11

12 Smarter Analytics with IBM Netezza After - Minimal technical skills required and fast utilization - Empowers business owners to focus on reports - Faster time to value - Immediate results 12

13 Smart Integration Cognos Relational SQL Optimized For Netezza OLAP on Relational Dynamic Query ROLAP optimized for Netezza SPSS Modeler Server Invoke indatabase Mining SQL Pushback Optimized SQL for Netezza Netezza FPGA CPU Memory FPGA CPU Memory Host 13 FPGA CPU Memory

14 IBM Netezza Compatibility Visualization & BI Analytics & Tools Analytics without constraints 14

15 Impact and ROI Traditional Solution Constrained by Technology IBM Netezza Solution Provides More Benefits, Faster Benefits - Many administration resources - Development held back by technical implementation details - More development resources - More productive development Resources Benefits Resources Requirements met = Benefit Development Admin Requirements met = Benefit Development Admin

16 Case Studies FRANCE Alcatel-Lucent ITALY Telecom Italia GERMANY Count+Care Increased profitability Acquire near-real-time insights and visibility Reduced Churn Greater Customer Satisfaction 100% boosted network performance Reduced analysis time by 97 percent Predicting energy consumption model 16

17 Questions? Krum Daskalov mobile: phone: