Corporate Financial & Operational Analytical and Reporting System

Size: px
Start display at page:

Download "Corporate Financial & Operational Analytical and Reporting System"

Transcription

1 SEUGI 2002 PARIS Palais des Congrès June 2002 Corporate Financial & Operational Analytical and Reporting System Eugene Olkhovski, MTS Deputy Billing Mgr Elias Soloviev, SAS Project Mgr

2 Agenda Company overview Business needs Solution Benefits Further plans 2

3 I Company overview Business needs Solution Benefits Further plans 3

4 Some Details Registered on October 28 th 1993 Commercial operations started in July 1994 Leading Russian mobile operator Offering GSM telephony, roaming, SMS, WAP, GPRS services, etc 3,500 employees, 70 trade centers over the Russia Operates in 8 time zones 4

5 2001 Business Specs Total revenues 893.2m Capitalization 3.5b EBITDA 424.0m EBITDA margin 47.5% Net Incom 207.3m ARPU 36/month 5

6 Network Investments Annual capex (US mln) mln Cumulative Network Investments 6

7 Strong growth in subscribers m 2002 ' 000 subscribers 7

8 No. of subscribers ('000) Corporate Financial & Operational Analytical and Reporting System Attractive Customer Base Subscriber share Service revenue share Business and wealthy Mass market 15% 85% 41% 59% ARPU (US) MOU (min) Q00 4Q00 1Q01 2Q01 3Q M2002 Business and wealthy Mass market Source: Company data Source: Company data 8

9 Net Incom Net Incom (mln) ,

10 Russian GSM market share SMARTS 4% Megafone 14% Others 4% Vimpelcom 32% MTS 46% Vimpelcom MTS SMARTS Megafone Others Source: Company data 10

11 Regional expansion highlights 37 operational regions Recent acquisitions: - Telekom XXI (Saint Petersburg) - Kuban GSM 4 th largest Russian mobile operator - Telecom 900 (taking control over 3 leading operators in Siberian and Far East) 226m investments in regions 11

12 Geared Up to Be The First National Operator # Murmans k Kaliningrad # St.Petersburg # # Petrozavods k # # # Orenburg Arkhangels k Pskov # # Novgorod Naryan-Mar Mins k # Tver' Smolensk Vo lo g da # # # Yaro s lavl' Syktyvkar Mo s c o w # # # Kos troma # Kaluga # # # Salehard Bryans k# # Ivanovo Kirov # Tula Vladimir # # # # Kudymkar Kurs k Orel Ryazan' # N. Novgorod # # Lipetsk Hanty-Mans iys k Belgorod # # # # # Perm' Tambo v # Vo ro ne zh Izhevs k Yekaterinburg Kras nodar # # # Chelyabinsk # # Tume n' Kurgan # Oms k # Novos ibirs k # Gorno-Altays k # Blagoveschensk Khabarovs k # 12

13 Geared Up to Be The First National Operator (part 2) Licenses to operate in 48 regions in Russia with a population of 84 million (58%of Russia s total) and Belarus with a population of 10 million Currently operating in 37 regions (60 million people), including Moscow and St Petersburg Roaming services in 100 countries worldwide 13

14 Last detail Critical Numbers Over 30 billing servers in 37 branches 8 subsidiaries with different accounting system Data center-branch data channel overall speed is 64kbit/sec 8 hours time difference between first and last offices start to work 14

15 II Company overview Business needs Solution Benefits Further plans 15

16 Business Needs To get in time all operating and financial information critical to company top management. To automate this process. To make this process transparent and to be able perform audit of the information. Finally, to get one source of truth. To be able to analyze operating and financial data from the top level into detail. 16

17 General Questions Customers profitability, loyalty and retention New customers attraction Tariff policy Services usage and demand Company growth strategy 17

18 III Company overview Business needs Solution Benefits Further plans 18

19 Corporate Financial & Operational Analytical and Reporting System History Environment CEO - President Board of Vice-Presidents CFO CMO y Plan and Finance Service Eastern Accounting Marketing GAAP Accounting System SUN Accounts Billing Service Customer's Accounting Cell Commutator 1 Cell Commutator n Cell Commutator 2 Moscow Billing System CBOSS (ORACLE) Telco Facilities Warehouse Trade of if ices Russian Accounting System SUN Accounts Subsidiaries Accountings Branch 1 billing Branch 2 billing Branch n billing Trade of if ices Trade of if ices Subsidiaries billings 19 Region 1 Billing Sy stem Region 2 Billing Sy stem CBOSS (ORACLE) CBOSS (ORACLE) Region n Billing Sy stem CBOSS (ORACLE) Roamong

20 General Requirements Get information from billing systems. Develop flexible reporting system based on current company standards. Create analytical decision support systems for Planning and Finance Dept. and Customer Accounting Division instead of current systems with limited functionality. 20

21 Details: Get Information -Get information from central and regional billings on daily and monthly basis. -Daily processing has time limitation of 11 hours maximum, from 21:00 to 8:00 for each time zone. -Clean data and consolidate regional dictionaries. -Process history information from year 1998 to Choose appropriate data granularity sufficient for analysis. -Do not store detail data such as CDRs. 21

22 Details: Develop Reporting System -Develop 22 complex reports for each reporting level. -Reporting levels: corporate, regional (branch or subsidiary). -Reporting should include following analysis: total and new number of customers, charges/income, traffic by following classes: tariff s, service s and customer s characteristics. -Comparative analysis variables should have at least 12 monthly values to compare. -Automatically update reports on daily/monthly basis. 22

23 Details: Create Analytical DSS -Develop analytical system within customers, finances and net traffic areas. -Data should include demographic, business, specific and other classifiers of customers. -Analytical values: total and new number of customers, traffic volume, billed/non-billed traffic, amount of services delivered/charged, payments/income, debts -Develop forecasting module for evaluation of net traffic and number of customers growth. 23

24 Solution Architecture Analytics for Plan&Finance Dept. Reporting for Top Mgrs Analytics for Accounting Dept. ETL Control Application Data Warehouse Management Environment 24 Billing Systems Accounting Systems

25 Critical features Control all ETLs centrally - 8 time zones regional billing systems (expected grow up to 60) - 64 Kbit channels Consolidate dictionaries Maintain time limits for ETL - Night period for each region Decrease billing system overload level - Minimize extraction time Choose appropriate data granularity (do not store CDRs) 25

26 Granularity (DWH Logical Models) End Fiscal Year End Fiscal Quarter End Calendar Year End Calendar Quarter ируемая ость M,MEAN ость еальная) M,MEAN во N) M,MEAN ть UM,M ть я UM,MEA ение MEAN абонентов ная, тся в ня по м MEAN Год year (date) 5 Месяц month 3 Год year (date) 5 Статус приложения (не расчитано, не подтверждено; расчитано, не подтверждено; завершено) Тип пользователя мобильного телефо (организация, частное лицо) Тип услуг (регулярное) Ссылка на услугу (вид тарифа) 8 Код национального доступа (095, 902) Регион 5 Биллинговая группа 20 Система расчетов (кредитный, по факту) Состояние лицевого счета (активен, предзакрыт, закрыт) (результат, заявка) Тип плательщика Тип (организация, активности частное абонента лицо) (активен, отключен менее 2-х месяцев, отклю Маркетинговая категория абонента 5 Статус Тип абонента приложения (не (организация, расчитано, не частное подтверждено; лицо) расчитано, н подтверждено; завершено) Тип Признак пользователя освобождения мобильного от налогов телеф (организация, (да, нет) частное лицо) Тип Юридическая услуг категория абонента (регулярное) (категория 0) Ссылка на услугу (вид тарифа) Состояние контракта 8 (неопределен, основной, агентский, служебный Код Тип национального юридических доступа отношений (095, (резидент, 902) нерезидент) Регион 5 Длительность (0сек, 1сек,...60сек,...120сек, 2.5мин, 3мин, мин) Комутатор Биллинговая (номера комутаторов) группа 20Сота (номера соты) Система Наличие расчетов международного доступа (кредитный, (номера соты) по факту) Направление/Услуга Состояние (Входящий, лицевого Местный, Зона счета МТС, Россия(Европа (активен, Америка предзакрыт, Юж Америка закрыт) Роуминг Спец вызовы Тип плательщика (организация, частное лицо) DWH has three logical level: 1 Normalized detail storage level for customers and finance 2 Aggregated data marts for traffic, customers and finances 3 Special data marts for specific functionality of analytical applications End Type of Day End Day of Week Household Profile Household Cust. Educ. Level Cust. Demogr. Profile Cust. Date of Birth Cust. Gender End Fiscal Month End Fiscal Week Bill To Zip Bill To Zip+4 Cust. Location Zip Cust. Location Zip+4 End Day End Calendar Month Pricing Package Package Usage Type Usage Type Bill To Street Address Customer End Calendar Week End Holiday Bill To Country Bill To State/Province Bill To City Cust. Location Street Address Date Day Customer Usage Billing Product Product/Service Industry Group Industry Customer Type Cust. Location Country Cust. Location State/Province Parent Company Cust. Assigned Sales Region Date of 1st Service Billing Date Billing Month Customer Cust. Delivery Point Маркетинговая категория абонента 5 Area Code Assigned Service Region Customer Location Cust. Location Ci ty Тип абонента (организация, частное лицо) Признак освобождения от налогов (да, нет) Юридическая категория абонента (категория 0) Prefix Suffix Customer Delivery Point Delivery Point Type Состояние контракта (неопределен, основной, агентский, служебны 26 Тип юридических отношений (резидент, нерезидент)

27 Decrease overload level (parallel extraction) Get data from ORACLE table by N SAS processes using appropriate index All processes use their own diapasons of index Regional SAS DWH Server SAS ETL Process 1 SAS Table A... SAS ETL Process n SAS ETL Process n+1 SAS Table B... SAS ETL Process m Regional ORACLE Billing Server Oracle table A Oracle table B Oracle table C 27

28 Maintain time limits Parallel extraction decreases time Start schedule for all regional ETL processes In case of errors restart from last completed node automatically (depends on error type) Start central ETL process at fixed time (do not wait delayed regions) 28

29 Consolidate dictionaries Use copy of each regional dictionary in center. Extract current regional dictionary but extract data with lag ( 1) day (check changes and make decision) Add regional prefix to all regional data at the detail level Create Etalon dictionaries with diapasons. Develop and update maps for etalon dictionaries and regional dictionaries Use Etalon dictionaries for the aggregated level 29

30 Control centrally All regional processes support running metadata Center has monitor process that each x minutes reads running metadata from each region In case of trouble, central process analyze it and generate batch script starting from the last well completed node and submit it on the regional server. Log all regional processes centrally Inform operator in case of critical errors only 30

31 ETL Process flow Central SAS DWH Server Data Marts Processing data marts Central DWH Transcoding into central DWH codes Etalon Dictionary Clean and Consolidati on Central DWH Metadata Control metadata DWH Managing Application Regional SAS DWH Server SAS Regional Staging Area Transportation Transport files SAS ETL Process Proactive Transportation Dictionaries Regional DWH Metadata Control Application Regional ORACLE Billing Server PARALLEL extraction from ORACLE DataBase Replication Copy of Billing DataBase Billing DataBase CBOSS (ORACLE) 31

32 Reports for Top Mangers 22 complex reports for each region and company-wide also Keep previous known and sharp MTS standards for reporting Distribute reports properly and in time 32

33 Analytical applications Deliver information on daily and monthly basis Data has 50+ dimensions and 10+ indicators to analyze Time series forecasting for critical indicators 33

34 Projects Schedule 34

35 Year 2001 Main Results CEO - President Board of Vice-Presidents CFO CMO y Plan and Finance Service Eastern Accounting Marketing GAAP Accounting System SUN Accounts Billing Service Customer's Accounting Cell Commutator 1 Cell Commutator n Cell Commutator 2 Moscow Billing System CBOSS (ORACLE) Telco Facilities Warehouse Trade ofif ices Russian Accounting System SUN Accounts Subsidiaries Accountings Branch 1 billing Branch 2 billing Branch n billing Trade of if ices Trade ofif ices Subsidiaries billings Region 1 Billing Sy stem Region 2 Billing Sy stem CBOSS (ORACLE) CBOSS (ORACLE) Region n Billing Sy stem CBOSS (ORACLE) Roamong 35

36 IV Company overview Business needs Solution Benefits Further plans 36

37 Solution Benefits Decreasing of the billing systems overload level Transparent reporting and analytical data Reports distribution in due time One source of truth Ability to analyze customer s data 37

38 Solution Benefits (last) One more step to intelligence - done 38

39 V Company overview Business needs Solution Benefits Further plans 39

40 Year 2002 Prospects Include information from all currently operating regions into the corporate DWH Implement SAS Financial Management Solution for the Top company Financial Management Develop Deviation Analysis System of Finance Dept. and Accounting Dept. data Start to develop CRM solution for Fraud, Churn and Customer retention 40

41 Corporate Financial & Operational Analytical and Reporting System Year 2002 Results Estimate CEO - President Board of Vice-Presidents CFO CMO y Plan and Finance Service Eastern Accounting Marketing GAAP Accounting System SUN Accounts Billing Service Customer's Accounting Cell Commutator 1 Russian Accounting System SUN Accounts Cell Commutator n Cell Commutator 2 Moscow Billing System CBOSS (ORACLE) Telco Facilities Warehouse Trade ofifices Subsidiaries Accountings Trade ofifices Branch 1 billing Branch 2 billing Branch n billing Trade ofifices Subsidiaries billings 41 Region 1 Billing System CBOSS (ORACLE) Region 2 Billing System CBOSS (ORACLE) Region n Billing System CBOSS (ORACLE) Roamong

42 Year 2002 Benefits Estimate To do one more step to be intelligent 42

43 Thank You! Questions? 43

10 Biggest Causes of Data Management Overlooked by an Overload

10 Biggest Causes of Data Management Overlooked by an Overload CAS Seminar on Ratemaking $%! "! ###!! !"# $" CAS Seminar on Ratemaking $ %&'("(& + ) 3*# ) 3*# ) 3* ($ ) 4/#1 ) / &. ),/ &.,/ #1&.- ) 3*,5 /+,&. ),/ &..- ) 6/&/ '( +,&* * # +-* *%. (-/#$&01+, 2, Annual

More information

publishing house Time proved reputation!

publishing house Time proved reputation! Time proved reputation! BUSINESS WORLD group of companies consisting of self-standing commercial structures united by the common strategy of development and common corporative values continues the course

More information

Business Intelligence (BI) Data Store Project Discussion / Draft Outline for Requirements Document

Business Intelligence (BI) Data Store Project Discussion / Draft Outline for Requirements Document Business Intelligence (BI) Data Store Project Discussion / Draft Outline for Requirements Document Approval Contacts Sign-off Copy Distribution (List of Names) Revision History Definitions (Organization

More information

CRM: Retaining Your Customers: Preventing Your Competitors

CRM: Retaining Your Customers: Preventing Your Competitors CRM: Retaining Your Customers: Preventing Your Competitors Krittapon Victor Indarakris Founder & CEO Blue Intelligence (Thailand) Co., Ltd. October 30, 2007 Microsoft CRM October 30 th, 2007 1 Core Microsoft

More information

What is missing in campaign management today? Shaun Doyle VP Intelligent Marketing Solutions, SAS

What is missing in campaign management today? Shaun Doyle VP Intelligent Marketing Solutions, SAS What is missing in campaign management today? Shaun Doyle VP Intelligent Marketing Solutions, SAS Content What is campaign management? How has the technology evolved? Where are we today? What is missing?

More information

Predictive Analytics. Noam Zeigerson, CTO

Predictive Analytics. Noam Zeigerson, CTO Predictive Analytics Noam Zeigerson, CTO Agenda The Predictive Analytics Need Innovative Technologies Business Solutions The problem: Inconsistent stream of revenue Available Data Sources ERP data Web

More information

J son & Partners Consulting presents short summary of research «2012-2017 Pay-TV Market Current Status and Forecasts».

J son & Partners Consulting presents short summary of research «2012-2017 Pay-TV Market Current Status and Forecasts». J son & Partners Consulting presents short summary of research «2012-2017 Pay-TV Market Current Status and Forecasts». Russia s pay-tv market is one of the largest in the world, totaling 31.9 million households

More information

Microsoft Business Analytics Accelerator for Telecommunications Release 1.0

Microsoft Business Analytics Accelerator for Telecommunications Release 1.0 Frameworx 10 Business Process Framework R8.0 Product Conformance Certification Report Microsoft Business Analytics Accelerator for Telecommunications Release 1.0 November 2011 TM Forum 2011 Table of Contents

More information

MDM and Data Warehousing Complement Each Other

MDM and Data Warehousing Complement Each Other Master Management MDM and Warehousing Complement Each Other Greater business value from both 2011 IBM Corporation Executive Summary Master Management (MDM) and Warehousing (DW) complement each other There

More information

Fluency With Information Technology CSE100/IMT100

Fluency With Information Technology CSE100/IMT100 Fluency With Information Technology CSE100/IMT100 ),7 Larry Snyder & Mel Oyler, Instructors Ariel Kemp, Isaac Kunen, Gerome Miklau & Sean Squires, Teaching Assistants University of Washington, Autumn 1999

More information

Creating Value in Russia

Creating Value in Russia Creating Value in Russia Mikhail Slobodin Group Executive Vice President and Head of Russia London, January 28-29, 2014 Strong free cash flow generation Good quality mobile network Strong mobile data revenue

More information

Deriving Call Data Record Insights through Self Service BI Reporting

Deriving Call Data Record Insights through Self Service BI Reporting Deriving Call Data Record Insights through Self Service BI Reporting The Need for Business Intelligence BI assists corporate managers and decision makers to make relevant, accurate, timely and smart decision

More information

Analytical CRM Technology Options

Analytical CRM Technology Options EXTRAPRISE Company Services Alliances Case Studies Extraprise Report Analytical CRM Technology Options Volume 5 No. 4 Executive Summary We described the evolution of the customer relationship management

More information

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day Big Data overview SICS Software week, Sept 23-25 Cloud and Big Data Day Livio Ventura Big Data European Industry Leader for Telco, Energy and Utilities and Digital Media Agenda some data on Data Big Data

More information

Data Warehouse: Introduction

Data Warehouse: Introduction Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of base and data mining group,

More information

2 nd Quarter 2006 Earnings Conference Call

2 nd Quarter 2006 Earnings Conference Call 2 nd Quarter 2006 Earnings Conference Call Jean-Pierre Vandromme, CEO Boris Svetlichny, CFO Alexey Subbotin, Investor Relations When Thursday, August 3, 2006 9:00 a.m. (U.S. Eastern Time Zone) 2:00 p.m.

More information

Advanced Communications & Media

Advanced Communications & Media Advanced Communications & Media 11/2a Armyansky Pereulok, Moscow 101960 Russia Phone/Fax +7 495 923-5480 mail: info@acm-consulting.com http://www.acm-consulting.com/ RUSSIAN MOBILE SEGMENT: RECENT DEVELOPMENTS

More information

Data Warehouse Overview. Srini Rengarajan

Data Warehouse Overview. Srini Rengarajan Data Warehouse Overview Srini Rengarajan Please mute Your cell! Agenda Data Warehouse Architecture Approaches to build a Data Warehouse Top Down Approach Bottom Up Approach Best Practices Case Example

More information

BENEFITS OF AUTOMATING DATA WAREHOUSING

BENEFITS OF AUTOMATING DATA WAREHOUSING BENEFITS OF AUTOMATING DATA WAREHOUSING Introduction...2 The Process...2 The Problem...2 The Solution...2 Benefits...2 Background...3 Automating the Data Warehouse with UC4 Workload Automation Suite...3

More information

POLAR IT SERVICES. Business Intelligence Project Methodology

POLAR IT SERVICES. Business Intelligence Project Methodology POLAR IT SERVICES Business Intelligence Project Methodology Table of Contents 1. Overview... 2 2. Visualize... 3 3. Planning and Architecture... 4 3.1 Define Requirements... 4 3.1.1 Define Attributes...

More information

Data Warehouse Modeling Industry Models

Data Warehouse Modeling Industry Models Data Warehouse Modeling Industry Models Modeling Techniques come from Mars and Industry Models come from Venus? Maarten Ketelaars Agenda Introduction High level architecture Technical Aspects Functional

More information

The following key parameters were estimated in each region separately by enterprises of small, mediumsized business (SMB) and big business:

The following key parameters were estimated in each region separately by enterprises of small, mediumsized business (SMB) and big business: J son & Partners Consulting Company presents main results of the study Research of the Competitive Situation on the Telecommunication Market in B2B Segment. Development of the Information and Communications

More information

Lavastorm Resolution Center 2.2 Release Frequently Asked Questions

Lavastorm Resolution Center 2.2 Release Frequently Asked Questions Lavastorm Resolution Center 2.2 Release Frequently Asked Questions Software Description What is Lavastorm Resolution Center 2.2? Lavastorm Resolution Center (LRC) is a flexible business improvement management

More information

Increasing Retail Banking Profitability through CRM: the UniCredito Italiano Case History

Increasing Retail Banking Profitability through CRM: the UniCredito Italiano Case History Increasing Retail Banking Profitability through CRM: the UniCredito Italiano Case History Giorgio Redemagni Marketing Information Systems Manager Paris, 2002 June 11-13 UNICREDITO ITALIANO GROUP OVERVIEW

More information

OLAP Theory-English version

OLAP Theory-English version OLAP Theory-English version On-Line Analytical processing (Business Intelligence) [Ing.J.Skorkovský,CSc.] Department of corporate economy Agenda The Market Why OLAP (On-Line-Analytic-Processing Introduction

More information

Business Intelligence System for Monitoring, Analysis and Forecasting of Socioeconomic Development of Russian Territories

Business Intelligence System for Monitoring, Analysis and Forecasting of Socioeconomic Development of Russian Territories Business Intelligence System for Monitoring, Analysis and Forecasting of Socioeconomic Development of Russian Territories The Ministry of Economic Development of the Russian Federation is responsible for

More information

Data Vault at work. Does Data Vault fulfill its promise? GDF SUEZ Energie Nederland

Data Vault at work. Does Data Vault fulfill its promise? GDF SUEZ Energie Nederland Data Vault at work Does Data Vault fulfill its promise? Leading player on Dutch energy market Approximately 1,000 employees Production capacity: 3,813 MW 20% of the total Dutch electricity production capacity

More information

CMG s approach to application managed services on SAS data warehouses. Jan Willem Sijthoff

CMG s approach to application managed services on SAS data warehouses. Jan Willem Sijthoff CMG s approach to application managed services on SAS data warehouses Jan Willem Sijthoff Agenda Introduction SAS Data warehouses Application Managed Services Example: Service Group Business Intelligence

More information

The Role of the BI Competency Center in Maximizing Organizational Performance

The Role of the BI Competency Center in Maximizing Organizational Performance The Role of the BI Competency Center in Maximizing Organizational Performance Gloria J. Miller Dr. Andreas Eckert MaxMetrics GmbH October 16, 2008 Topics The Role of the BI Competency Center Responsibilites

More information

UNCOVER RUSSIA: LOGISTICS AND E-COMMERCE MARKET Tatiana Lyubimova, Managing Director DHL Global Mail

UNCOVER RUSSIA: LOGISTICS AND E-COMMERCE MARKET Tatiana Lyubimova, Managing Director DHL Global Mail UNCOVER RUSSIA: LOGISTICS AND E-COMMERCE MARKET Tatiana Lyubimova, Managing Director DHL Global Mail Global E-commerce Summit - Barcelona 3 rd June, 2013 AGENDA Uncover Russia: Market Overview Uncover

More information

The market of commercial data centers 1, Russia October, 2011

The market of commercial data centers 1, Russia October, 2011 The market of commercial data centers 1, Russia October, 2011 J'son & Partners Consulting presents brief results of the recently completed study of the Russian commercial data centers market. Usable area

More information

Q3 2014 Results Conference Call

Q3 2014 Results Conference Call Q3 2014 Results Conference Call November 6, 2014 at 15:00 CET Good afternoon, everybody, and welcome to Magyar Telekom s third quarter 2014 results conference call. I am Chris Mattheisen, Magyar Telekom

More information

Data warehouse Architectures and processes

Data warehouse Architectures and processes Database and data mining group, Data warehouse Architectures and processes DATA WAREHOUSE: ARCHITECTURES AND PROCESSES - 1 Database and data mining group, Data warehouse architectures Separation between

More information

Junifer Utility CIS. Flexibility. Scalability. Cost Effectiveness

Junifer Utility CIS. Flexibility. Scalability. Cost Effectiveness Junifer Utility CIS The volumes associated with Smart Meter rollout can be overwhelming. For instance in just the first two hours of operation, a Smart Meter implementation will generate the same amount

More information

Business Intelligence Project Management 101

Business Intelligence Project Management 101 Business Intelligence Project Management 101 Managing BI Projects within the PMI Process Groups Too many times, Business Intelligence (BI) and Data Warehousing project managers are ill-equipped to handle

More information

Network Analytics Accelerator

Network Analytics Accelerator Network Analytics Accelerator Turn your Big Data into Big Opportunity Joël Viale Telecom Solutions Lab Solution Architect Key trends in Communications 1 Proliferation of Smart Devices/New Network Technologies

More information

1 January 2004 31 December 2004

1 January 2004 31 December 2004 1 January 31 December 1 Contents Q4 Report President and CEO Veli-Matti Mattila Key Figures and Financial Statement CFO Tuija Soanjärvi 2 Q4 Report President and CEO Veli-Matti Mattila Elisa Q4 Financial

More information

Moving Large Data at a Blinding Speed for Critical Business Intelligence. A competitive advantage

Moving Large Data at a Blinding Speed for Critical Business Intelligence. A competitive advantage Moving Large Data at a Blinding Speed for Critical Business Intelligence A competitive advantage Intelligent Data In Real Time How do you detect and stop a Money Laundering transaction just about to take

More information

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Applied Business Intelligence Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Agenda Business Drivers and Perspectives Technology & Analytical Applications Trends Challenges

More information

<Insert Picture Here> Master Data Management

<Insert Picture Here> Master Data Management Master Data Management 김대준, 상무 Master Data Management Team MDM Issues Lack of Enterprise-level data code standard Region / Business Function Lack of data integrity/accuracy Difficulty

More information

Budgeting and Planning with Microsoft Excel and Oracle OLAP

Budgeting and Planning with Microsoft Excel and Oracle OLAP Copyright 2009, Vlamis Software Solutions, Inc. Budgeting and Planning with Microsoft Excel and Oracle OLAP Dan Vlamis and Cathye Pendley dvlamis@vlamis.com cpendley@vlamis.com Vlamis Software Solutions,

More information

HROUG. The future of Business Intelligence & Enterprise Performance Management. Rovinj October 18, 2007

HROUG. The future of Business Intelligence & Enterprise Performance Management. Rovinj October 18, 2007 HROUG Rovinj October 18, 2007 The future of Business Intelligence & Enterprise Performance Management Alexander Meixner Sales Executive, BI/EPM, South East Europe Oracle s Product

More information

<Insert Picture Here> Enhancing the Performance and Analytic Content of the Data Warehouse Using Oracle OLAP Option

<Insert Picture Here> Enhancing the Performance and Analytic Content of the Data Warehouse Using Oracle OLAP Option Enhancing the Performance and Analytic Content of the Data Warehouse Using Oracle OLAP Option The following is intended to outline our general product direction. It is intended for

More information

ORACLE BUSINESS INTELLIGENCE, ORACLE DATABASE, AND EXADATA INTEGRATION

ORACLE BUSINESS INTELLIGENCE, ORACLE DATABASE, AND EXADATA INTEGRATION ORACLE BUSINESS INTELLIGENCE, ORACLE DATABASE, AND EXADATA INTEGRATION EXECUTIVE SUMMARY Oracle business intelligence solutions are complete, open, and integrated. Key components of Oracle business intelligence

More information

Big Data and Analytics in Government

Big Data and Analytics in Government Big Data and Analytics in Government Nov 29, 2012 Mark Johnson Director, Engineered Systems Program 2 Agenda What Big Data Is Government Big Data Use Cases Building a Complete Information Solution Conclusion

More information

Analytical CRM solution for Banking industry

Analytical CRM solution for Banking industry Analytical CRM solution for Banking industry Harbinger TechAxes PVT. LTD. 2005 Insights about What are the reasons and freq. for a customer contact? What are my product holding patterns? Which of my are

More information

Instant Data Warehousing with SAP data

Instant Data Warehousing with SAP data Instant Data Warehousing with SAP data» Extracting your SAP data to any destination environment» Fast, simple, user-friendly» 8 different SAP interface technologies» Graphical user interface no previous

More information

J son & Partners Consulting presents the results of IPTV Russian market research by the end of 2012 and forecast of its development until 2017

J son & Partners Consulting presents the results of IPTV Russian market research by the end of 2012 and forecast of its development until 2017 J son & Partners Consulting presents the results of IPTV Russian market research by the end of 2012 and forecast of its development until 2017 Current state and structure of the Russian IPTV services market

More information

TouchPoint Sales: Tools for Accelerating a Multi-Channel, Customer-Focused Sales Process. Kellye Proctor, TouchPoint Product Manager

TouchPoint Sales: Tools for Accelerating a Multi-Channel, Customer-Focused Sales Process. Kellye Proctor, TouchPoint Product Manager TouchPoint Sales: Tools for Accelerating a Multi-Channel, Customer-Focused Sales Process Kellye Proctor, TouchPoint Product Manager Migrating To a Sales 2.0 Culture Changing Institutional Behavior and

More information

A brief overview of the broadband market in Russia and in the world of 2010-2015

A brief overview of the broadband market in Russia and in the world of 2010-2015 J son & Partners Consulting company presents the results of the research of broadband access networks market in Russia and overseas. The main objective of the research made by J'son & Partners Consulting

More information

Technology-Driven Demand and e- Customer Relationship Management e-crm

Technology-Driven Demand and e- Customer Relationship Management e-crm E-Banking and Payment System Technology-Driven Demand and e- Customer Relationship Management e-crm Sittikorn Direksoonthorn Assumption University 1/2004 E-Banking and Payment System Quick Win Agenda Data

More information

Whitepaper. Data Warehouse/BI Testing Offering YOUR SUCCESS IS OUR FOCUS. Published on: January 2009 Author: BIBA PRACTICE

Whitepaper. Data Warehouse/BI Testing Offering YOUR SUCCESS IS OUR FOCUS. Published on: January 2009 Author: BIBA PRACTICE YOUR SUCCESS IS OUR FOCUS Whitepaper Published on: January 2009 Author: BIBA PRACTICE 2009 Hexaware Technologies. All rights reserved. Table of Contents 1. 2. Data Warehouse - Typical pain points 3. Hexaware

More information

www.pwc.com PwC Financial sector Salary Survey PayWell 2016

www.pwc.com PwC Financial sector Salary Survey PayWell 2016 www.pwc.com Financial sector Salary Survey PayWell 2016 General description and basic methodological principles 2 Why? Long-term experience in conducting surveys (since 1999) The largest Russian and International

More information

QAD Business Intelligence Data Warehouse Demonstration Guide. May 2015 BI 3.11

QAD Business Intelligence Data Warehouse Demonstration Guide. May 2015 BI 3.11 QAD Business Intelligence Data Warehouse Demonstration Guide May 2015 BI 3.11 Overview This demonstration focuses on the foundation of QAD Business Intelligence the Data Warehouse and shows how this functionality

More information

Customer Relationship Management (CRM)

Customer Relationship Management (CRM) Customer Relationship Management (CRM) Dr A. Albadvi Asst. Prof. Of IT Tarbiat Modarres University Information Technology Engineering Dept. Affiliate of Sharif University of Technology School of Management

More information

R O I C a s e S t u d i e s

R O I C a s e S t u d i e s HIGHLIGHTS Goal: For MegaFon-Moscow to deploy an integrated customer management strategy to improve customer service, increase customer loyalty, reduce customer churn, lower operational costs, increase

More information

Hortonworks & SAS. Analytics everywhere. Page 1. Hortonworks Inc. 2011 2014. All Rights Reserved

Hortonworks & SAS. Analytics everywhere. Page 1. Hortonworks Inc. 2011 2014. All Rights Reserved Hortonworks & SAS Analytics everywhere. Page 1 A change in focus. A shift in Advertising From mass branding A shift in Financial Services From Educated Investing A shift in Healthcare From mass treatment

More information

MEDIA WAREHOUSE / Telenor Media

MEDIA WAREHOUSE / Telenor Media TeleT Telenor Media NORWAY Data Warehousing in a Call Center Environment MEDIA WAREHOUSE / Telenor Media at SEUGI 16 PRAHA 9 12 JUNE 1998 By Production Manager Per-Steinar Tafjord, Telenor Media, Norway

More information

Big Data (Adv. Analytics) in 15 Mins. Peter LePine Managing Director Sales Support IM & BI Practice

Big Data (Adv. Analytics) in 15 Mins. Peter LePine Managing Director Sales Support IM & BI Practice Big Data (Adv. Analytics) in 15 Mins. Peter LePine Managing Director Sales Support IM & BI Practice Agenda Big Data in 15 Mins. Goal: Provide a basic understanding of; What is Big Data; Why it s important

More information

Paper 064-2014. Robert Bonham, Gregory A. Smith, SAS Institute Inc., Cary NC

Paper 064-2014. Robert Bonham, Gregory A. Smith, SAS Institute Inc., Cary NC Paper 064-2014 Log entries, Events, Performance Measures, and SLAs: Understanding and Managing your SAS Deployment by Leveraging the SAS Environment Manager Data Mart ABSTRACT Robert Bonham, Gregory A.

More information

Business Review. Customer-oriented High Quality Customer Service Better Returns to Shareholders. China Mobile (Hong Kong) Limited

Business Review. Customer-oriented High Quality Customer Service Better Returns to Shareholders. China Mobile (Hong Kong) Limited 18 Customer-oriented High Quality Customer Service Better Returns to Shareholders China Mobile (Hong Kong) Limited 19 The table below summarizes selected operating data of the Group for the period from

More information

2015 Analyst and Advisor Summit. Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist

2015 Analyst and Advisor Summit. Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist 2015 Analyst and Advisor Summit Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist Agenda Key Facts Offerings and Capabilities Case Studies When to Engage

More information

Telenor Group Third Quarter 2014. Jon Fredrik Baksaas, CEO

Telenor Group Third Quarter 2014. Jon Fredrik Baksaas, CEO Telenor Group Third Quarter 2014 Jon Fredrik Baksaas, CEO Disclaimer The following presentation is being made only to, and is only directed at, persons to whom such presentation may lawfully be communicated

More information

Business Intelligence for Financial Services: A Case Study

Business Intelligence for Financial Services: A Case Study Business Intelligence for Financial Services: A Case Study Business Intelligence for Financial Services: A Case Study Our customer is a $25 billion revenue subsidiary of a Fortune 50 company. This subsidiary

More information

KKC main lines of business

KKC main lines of business KKC main lines of business KKC Group of Companies KKC Group of Companies Founded: 1991 HQ: Moscow, Russia Number of employees: 240 Turnover: US $50,000,000 (2011) Subsidiaries: Saint-Petersburg, Sochi,

More information

DNV presentation at Norsk Informatica Brukerforum

DNV presentation at Norsk Informatica Brukerforum DNV presentation at Norsk Informatica Brukerforum Experiences and solution strategies from DNVs use of Informatica Jan Petter Holmberg and Kristian Ramsrud DNV s main services 2 Highly skilled people across

More information

Broadband & Satellite Russia Newsletter

Broadband & Satellite Russia Newsletter Broadband & Satellite Russia Newsletter 99 July 01-31, 2015 MOSCOW RUSSIA Contents TTK Launches Cable TV in Siberia............. 3 Mobile Renaissance in the Moscow Metro........ 3 Russians Travel with

More information

Capacity Management for Oracle Database Machine Exadata v2

Capacity Management for Oracle Database Machine Exadata v2 Capacity Management for Oracle Database Machine Exadata v2 Dr. Boris Zibitsker, BEZ Systems NOCOUG 21 Boris Zibitsker Predictive Analytics for IT 1 About Author Dr. Boris Zibitsker, Chairman, CTO, BEZ

More information

XDR. Big Data solution.

XDR. Big Data solution. XDR Big Data solution. MAIN GOAL Xdr is a solution that uses a simple low-cost architecture integrated to the business infrastructure of Telecom companies. Both Telcos and Internet businesses have often

More information

International Exhibition for Transport, Logistics and IT solutions

International Exhibition for Transport, Logistics and IT solutions International Exhibition for Transport, Logistics and IT solutions Event Summary MIPS 2015 13-16 April 2015 VVC Expo Centre, Moscow, Russia 430 Exhibitors MIPS / Securika is the largest exhibition of security

More information

Building a Data Warehouse

Building a Data Warehouse Building a Data Warehouse With Examples in SQL Server EiD Vincent Rainardi BROCHSCHULE LIECHTENSTEIN Bibliothek Apress Contents About the Author. ; xiij Preface xv ^CHAPTER 1 Introduction to Data Warehousing

More information

SimCorp Solution Guide

SimCorp Solution Guide SimCorp Solution Guide Data Warehouse Manager For all your reporting and analytics tasks, you need a central data repository regardless of source. SimCorp s Data Warehouse Manager gives you a comprehensive,

More information

Management Accountants and IT Professionals providing Better Information = BI = Business Intelligence. Peter Simons peter.simons@cimaglobal.

Management Accountants and IT Professionals providing Better Information = BI = Business Intelligence. Peter Simons peter.simons@cimaglobal. Management Accountants and IT Professionals providing Better Information = BI = Business Intelligence Peter Simons peter.simons@cimaglobal.com Agenda Management Accountants? The need for Better Information

More information

SAS Business Intelligence Online Training

SAS Business Intelligence Online Training SAS Business Intelligence Online Training IQ Training facility offers best online SAS Business Intelligence training. Our SAS Business Intelligence online training is regarded as the best training in Hyderabad

More information

The Q4 2015 results conference call 24 February 2016 at 14:00 CET

The Q4 2015 results conference call 24 February 2016 at 14:00 CET The Q4 2015 results conference call 24 February 2016 at 14:00 CET Presenters Davor Tomašković Hrvatski Telekom President of the Management Board and CEO Mr. Kai-Ulrich Deissner Hrvatski Telekom - CFO Elvis

More information

FDQM Financial Data Quality Management Fundamentals - Tips & Tricks Gary Womack, May 8th, 2013

FDQM Financial Data Quality Management Fundamentals - Tips & Tricks Gary Womack, May 8th, 2013 FDQM Financial Data Quality Management Fundamentals - Tips & Tricks Gary Womack, May 8th, 2013 Agenda Welcome and Introductions Understanding FDQM Using Extended Analytics to sync Essbase/Other Systems

More information

The Application of Data Warehouses in the Support of Decision Making Processes. Polish Enterprises Case Studies

The Application of Data Warehouses in the Support of Decision Making Processes. Polish Enterprises Case Studies The Application of Data Warehouses in the Support of Decision Making Processes. Polish Enterprises Case Studies Artur ROT Department of Management Information Systems Engineering, Wroclaw University of

More information

TÜRK TELEKOM GROUP ANNOUNCES 2015 SECOND QUARTER FINANCIAL AND OPERATIONAL RESULTS

TÜRK TELEKOM GROUP ANNOUNCES 2015 SECOND QUARTER FINANCIAL AND OPERATIONAL RESULTS TÜRK TELEKOM GROUP ANNOUNCES 2015 SECOND QUARTER FINANCIAL AND OPERATIONAL RESULTS Press Bulletin 22 July 2015 CONTINUED REVENUE AND EBITDA GROWTH Türk Telekom, Turkey s leading communications and convergence

More information

Dimensional modeling for CRM Applications

Dimensional modeling for CRM Applications Dimensional modeling for CRM Applications Learning objective CRM has emerged as a mission-critical business strategy that is essential to a company s survival The perceived business value of understanding

More information

From ERP to Advanced Analytical CRM thanks to a fine Bull/SAS/SAP integration. SAS Forum International - June 2005

From ERP to Advanced Analytical CRM thanks to a fine Bull/SAS/SAP integration. SAS Forum International - June 2005 From ERP to Advanced Analytical CRM thanks to a fine Bull/SAS/SAP integration 1 Électricité de France Historically (until 1946) The French public utilities responsible for Electricity Generation / Transportation

More information

Marketing Automation & Data Insight Expertise. Opined by: J.R. Furman

Marketing Automation & Data Insight Expertise. Opined by: J.R. Furman Marketing Automation & Data Insight Expertise Opined by: J.R. Furman SAS Marketing Automation There is no doubt that SAS Institute regards Qualex as the premier partner in the Gaming Space, why else would

More information

A New Era Of Analytic

A New Era Of Analytic Penang egovernment Seminar 2014 A New Era Of Analytic Megat Anuar Idris Head, Project Delivery, Business Analytics & Big Data Agenda Overview of Big Data Case Studies on Big Data Big Data Technology Readiness

More information

Structure of the presentation

Structure of the presentation Integration of Legacy Data (SLIMS) and Laboratory Information Management System (LIMS) through Development of a Data Warehouse Presenter N. Chikobi 2011.06.29 Structure of the presentation Background Preliminary

More information

Know. what will happen. Allround Puts You in Control. www.allround.eu

Know. what will happen. Allround Puts You in Control. www.allround.eu Know what will happen. Allround Puts You in Control www.allround.eu Allround Headquarters 183 Budafoki ut Budapest 1117 Hungary T: +36 1 206 6280 F: +36 1 206 1638 info@allround.eu Allround Solutions Proactive

More information

Master Data Management and Data Warehousing. Zahra Mansoori

Master Data Management and Data Warehousing. Zahra Mansoori Master Data Management and Data Warehousing Zahra Mansoori 1 1. Preference 2 IT landscape growth IT landscapes have grown into complex arrays of different systems, applications, and technologies over the

More information

ROSTELECOM. Development of Mobile Business Segment. www.rostelecom.ru

ROSTELECOM. Development of Mobile Business Segment. www.rostelecom.ru ROSTELECOM Development of Mobile Business Segment Most successful incumbents actively develop mobile services Europe Asia Pacific North America Latin America 2 mobile telecommunications is a key strategic

More information

The big data business model: opportunity and key success factors

The big data business model: opportunity and key success factors MENA Summit 2013: Enabling innovation, driving profitability The big data business model: opportunity and key success factors 6 November 2013 Justin van der Lande EVENT PARTNERS: 2 Introduction What is

More information

Broadband & Satellite Russia Newsletter

Broadband & Satellite Russia Newsletter Broadband & Satellite Russia Newsletter 110 January 19-31, 2016 MOSCOW RUSSIA Contents Broadband Russia Top-10 LTE Countries will Include Russia......... 3 Recession Brings Operators Together..........

More information

Using reporting and data mining techniques to improve knowledge of subscribers; applications to customer profiling and fraud management

Using reporting and data mining techniques to improve knowledge of subscribers; applications to customer profiling and fraud management Using reporting and data mining techniques to improve knowledge of subscribers; applications to customer profiling and fraud management Paper Jean-Louis Amat Abstract One of the main issues of operators

More information

GENWARE COMPUTER SYSTEMS AUDITING SOLUTION FOR COGNOS BUSINESS INTELLIGENCE

GENWARE COMPUTER SYSTEMS AUDITING SOLUTION FOR COGNOS BUSINESS INTELLIGENCE GENWARE COMPUTER SYSTEMS AUDITING SOLUTION FOR COGNOS BUSINESS INTELLIGENCE TECHNOLOGY PARTNER COGNOS CERTIFIED VALUE PROPOSITION AND BUSINESS OPPORTUNITIES Genware Computer Systems works with their clients

More information

Advanced Analytics for Call Center Operations

Advanced Analytics for Call Center Operations Advanced Analytics for Call Center Operations Ali Cabukel, Senior Data Mining Specialist Global Bilgi Kubra Fenerci Canel, Big Data Solutions Lead Oracle Speaker Bio Ali Çabukel Graduated from Hacettepe

More information

UK : implementing Convergence

UK : implementing Convergence UK : implementing Convergence Bernard Ghillebaert Executive VP, Orange UK agenda 1 2 3 market background our strategy in mobile and broadband summary and outlook 2 the UK telecoms market : one of the most

More information

Contents. visualintegrator The Data Creator for Analytical Applications. www.visualmetrics.co.uk. Executive Summary. Operational Scenario

Contents. visualintegrator The Data Creator for Analytical Applications. www.visualmetrics.co.uk. Executive Summary. Operational Scenario About visualmetrics visualmetrics is a Business Intelligence (BI) solutions provider that develops and delivers best of breed Analytical Applications, utilising BI tools, to its focus markets. Based in

More information

Intelligent Business Processes

Intelligent Business Processes Intelligent Business Processes Business Intelligence meets Business Process Management IBM IOD EMEA, Berlin, June 2009 Dr. Wolfgang Martin Analyst and ibond Partner The Data Analysis Gap Traditional BI

More information

BANKING ON CUSTOMER BEHAVIOR

BANKING ON CUSTOMER BEHAVIOR BANKING ON CUSTOMER BEHAVIOR How customer data analytics are helping banks grow revenue, improve products, and reduce risk In the face of changing economies and regulatory pressures, retail banks are looking

More information

Helping Brands Succeed Online

Helping Brands Succeed Online Helping Brands Succeed Online Introduction This presentation describes our service range and pricing structure for Russian SMEs. All displayed service modules and pricing can be adjusted to a clients needs.

More information

SharePoint Governance Execution

SharePoint Governance Execution SharePoint Governance Execution by Edward Cedeno 1 Agenda SharePoint Governance Execution 1 Principles for Successful SharePoint Governance Execution 2 SharePoint Governance Execution Challenges Tools

More information

Fugure 1. Scheme of sending bulk SMS. Source: J son & Partners Consulting

Fugure 1. Scheme of sending bulk SMS. Source: J son & Partners Consulting In the view of regular research of mobile advertising and marketing markets, J son & Partners Consulting presents main results of the SMS-marketing and bulk SMS market research in Russia. Bulk SMS (mass

More information

James Serra Data Warehouse/BI/MDM Architect JamesSerra3@gmail.com JamesSerra.com

James Serra Data Warehouse/BI/MDM Architect JamesSerra3@gmail.com JamesSerra.com James Serra Data Warehouse/BI/MDM Architect JamesSerra3@gmail.com JamesSerra.com Agenda Do you need Master Data Management (MDM)? Why Master Data Management? MDM Scenarios & MDM Hub Architecture Styles

More information

Data Integration Alternatives & Best Practices

Data Integration Alternatives & Best Practices CAS 2006 March 13, 2006, 2:00 3:30 Data 2: Information Stored, Mined & Utilized/2 Data Integration Alternatives & Best Practices Patricia Saporito, CPCU Insurance Industry Practice Director Information

More information