SlideShare une entreprise Scribd logo
1  sur  21
April 10-12 | Chicago, IL
Inside Atento
Strategies for a Datawarehouse
Javier Torrenteras. SolidQ BI Director
Enrique Moreno. CIO Atento
April 10-12 | Chicago, IL
Please silence
cell phones
Agenda
1. Atento as a global company
2. From isolated information to an EDW
3. Azure as the BI Platform
3
ATENTO AS A GLOBAL COMPANY
4
5
FROM ISOLATED INFORMATION TO AN EDW
Background and goals
Each country has its own systems to manage and support daily operations, but all use the
same processes and business units.
The company also had isolated data marts, based on different technologies, that
weren’t shared across departments, so generating monthly executive reports was time-
consuming, requiring lots of manual validation and coordination.
The corporate office needed to consolidate all that information and align local
indicators with the global business strategy to provide a unified repository for
local and global management
6
FROM ISOLATED INFORMATION TO AN EDW
Main Challenge
Build a common system
as flexible as Atento is
7
FROM ISOLATED INFORMATION TO AN EDW
Initial Stuff
Sql
Server
Oracle
Oracle
EIP
SGS
SAP
BPC
Local BI
System
Sql Server
Oracle
Local BI
System
Sql Server
Oracle
Sql
Server
Oracle
8
FROM ISOLATED INFORMATION TO AN EDW
BI Strategy Aligned With IT Roadmap
Unify tools at
country level
• Same desktop
platform
• Same ERP
• Common
intranet
• eDW
Main Priority
• Corporate
reporting to
measure
effective and
efficient
company
performance
Convert
weaknesses
in strengths
Quick Wins
9
FROM ISOLATED INFORMATION TO AN EDW
Global And Local Users Engagement
QW1
• POC to consolidate indicators
based on global corporate reports
QW2
•Train corporate users to have
them supporting the new BI
system
QW3
•Compile existing definitions
from all countries to build a
common set of indicators and
dimensions. Involvement of
country and corporate teams.
QW4
•Minimize impact on the current
local processes providing a
common tool based on their
current local processes
QW5
•Train country users on the global
BI system to understand the value
of a EDW
QW6
•Build the BI system following
agile methodologies involving
final users through all the
iterations
FROM ISOLATED INFORMATION TO AN EDW
Agile Implementation
Create Collaboration Area
• Unify criteria per area based on
conversations with final users
• Create common templates for
all countries
•Create web portal in Sharepoint
Extend BI system
•Add new indicators and
dimensions
•Incorporate countries
Engage Users
•Train final users
•Validate data against
existing reports
Iteration n
FROM ISOLATED INFORMATION TO AN EDW
BI Architecture Keys
Analysis Services
•OLAP storage
DW Database
•Fact and Dimension schemas to
support eDW
Staging Database
•One schema for each data source
•Views to consolidate data for area
•Single point of source for the
eDW
•Provide independence to the
number of sources
•Scripts and stored procedures to
automatically add new sources
ETL
•Changes needed to incorporate
new dimensions and
measures, but not new sources
FROM ISOLATED INFORMATION TO AN EDW
Loading Staging
Country Users
Unify information per country
and department
Stage Send DW
Country 2
Country nCountry 1
Data Control Checks
FROM ISOLATED INFORMATION TO AN EDW
MS BI Features Involved
14
FROM ISOLATED INFORMATION TO AN EDW
Final Data Flow
Corporate
BI System
AZURE AS THE BI PLATFORM
From Zero to 100 using the cloud
Atento needed additional IT to:
Extend the network
Create a corporate domain
Build new servers
Provide global access
Havi minimum risks and costs
AZURE AS THE BI PLATFORM
Hybrid Network
XX.XXX.XX.XX/XX
Internet
XX.XXX.XX.XX
XX.XXX.XX.XX XX.XXX.XX.XX
XX.XXX.XX.XX
XX.XXX.XX.XX
Windows Azure (Europe West DC)Atento (Madrid)
SubNet01LANAtento
DNS Atento:
Proxy Atento
DNS DC/AD Azure MIS
XX.XXX.XX.XX/XX
AZURE AS THE BI PLATFORM
Active Directory And BI In The Cloud
ADSGLB001
Azure Virtual Machine
Domain Controller 01
ADSGLB002
Azure Virtual Machine
Domain Controller 02
Azure Virtual Machinge
Analysis Services
CBIGBL001 CBIGBL002
Azure Virtual Machine
Integration Services
SQLGBL001
Azure Virtual Machine
DBMS SQL Server 2012
Azure Virtual Machine
SharePoint Server 2010 01
LOC: West Europe
VMS: L (4 Cores)
SHPGBL001
LOC: West Europe
VMS: L (4 Cores)
LOC: West Europe
VMS: L (4 Core)
LOC: West Europe
VMS: L (4 Core)
LOC: West Europe
VMS: S (1 Core)
LOC: West Europe
VMS: S (1 Core)
CLOUD ACTIVE DIRECTORY AND INFRASTRUCTURE
VPN CROSS-SITE ATENTO-AZURE (VIRTUAL NETWORK)
Local/Corporate Atento Network
SAP BPC
Atento Virtual Machine
LOC: Atento Corporate
Network
Local System
Atento Virtual Machine
LOC: Atento Local Network
Local System
Atento Physical Machine
LOC: Atento Local Network
CONCLUSIONS
Strategy
•Quick Wins
•Short Time to Market and
quick ROI
•Local and corporate users
using the same information
Development
•Agile methodology and early
training
•Final user engagement
Infrastructure
•Azure
•Immediate and flexible
infrastructure management
QUESTIONS?
Win a Microsoft Surface Pro!
Complete an online SESSION EVALUATION
to be entered into the draw.
Draw closes April 12, 11:59pm CT
Winners will be announced on the PASS BA
Conference website and on Twitter.
Go to passbaconference.com/evals or follow the QR code link displayed on
session signage throughout the conference venue.
Your feedback is important and valuable. All feedback will be used to improve
and select sessions for future events.
April 10-12, Chicago, IL
Thank you!
Diamond Sponsor Platinum Sponsor

Contenu connexe

Tendances

Snowflake Company Presentation
Snowflake Company PresentationSnowflake Company Presentation
Snowflake Company PresentationAndrewJiang18
 
Smartsheet’s Transition to Snowflake and Databricks: The Why and Immediate Im...
Smartsheet’s Transition to Snowflake and Databricks: The Why and Immediate Im...Smartsheet’s Transition to Snowflake and Databricks: The Why and Immediate Im...
Smartsheet’s Transition to Snowflake and Databricks: The Why and Immediate Im...Databricks
 
Snowflakes in the Cloud Real world experience on a new approach for Big Data
Snowflakes in the Cloud Real world experience on a new approach for Big DataSnowflakes in the Cloud Real world experience on a new approach for Big Data
Snowflakes in the Cloud Real world experience on a new approach for Big DataDevFest DC
 
Dataiku & Snowflake Meetup Berlin 2020
Dataiku & Snowflake Meetup Berlin 2020Dataiku & Snowflake Meetup Berlin 2020
Dataiku & Snowflake Meetup Berlin 2020Harald Erb
 
2021 gartner mq dsml
2021 gartner mq dsml2021 gartner mq dsml
2021 gartner mq dsmlSasikanth R
 
10 benefits to thinking inside Box
10 benefits to thinking inside Box10 benefits to thinking inside Box
10 benefits to thinking inside BoxIBM Analytics
 
A tour of Oracle DV V3.0 new features (June 2017)
A tour of Oracle DV V3.0 new features (June 2017)A tour of Oracle DV V3.0 new features (June 2017)
A tour of Oracle DV V3.0 new features (June 2017)Philippe Lions
 
PSSUG Nov 2012: Big Data with SQL Server
PSSUG Nov 2012: Big Data with SQL ServerPSSUG Nov 2012: Big Data with SQL Server
PSSUG Nov 2012: Big Data with SQL ServerMark Kromer
 
Altis AWS Snowflake Practice
Altis AWS Snowflake PracticeAltis AWS Snowflake Practice
Altis AWS Snowflake PracticeSamanthaSwain7
 
Visualizing large datasets with elasticsearch and kibana
Visualizing large datasets with elasticsearch and kibanaVisualizing large datasets with elasticsearch and kibana
Visualizing large datasets with elasticsearch and kibanaDan Fey
 
Kafka and Kafka Streams in the Global Schibsted Data Platform
Kafka and Kafka Streams in the Global Schibsted Data PlatformKafka and Kafka Streams in the Global Schibsted Data Platform
Kafka and Kafka Streams in the Global Schibsted Data PlatformFredrik Vraalsen
 
Managing Assets in Your GIS
Managing Assets in Your GISManaging Assets in Your GIS
Managing Assets in Your GISSSP Innovations
 
Managing hydrographic data for multiple usage
Managing hydrographic data for multiple usageManaging hydrographic data for multiple usage
Managing hydrographic data for multiple usageMilan Uitentuis
 
Continuous Data Replication into Cloud Storage with Oracle GoldenGate
Continuous Data Replication into Cloud Storage with Oracle GoldenGateContinuous Data Replication into Cloud Storage with Oracle GoldenGate
Continuous Data Replication into Cloud Storage with Oracle GoldenGateMichael Rainey
 
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...Rittman Analytics
 
Polyglot Persistence and Database Deployment by Sandeep Khuperkar CTO and Dir...
Polyglot Persistence and Database Deployment by Sandeep Khuperkar CTO and Dir...Polyglot Persistence and Database Deployment by Sandeep Khuperkar CTO and Dir...
Polyglot Persistence and Database Deployment by Sandeep Khuperkar CTO and Dir...Ashnikbiz
 
CData - Triangle Woodard Group - QuickBooks
CData - Triangle Woodard Group - QuickBooksCData - Triangle Woodard Group - QuickBooks
CData - Triangle Woodard Group - QuickBooksJerod Johnson
 
Democratizing Data Quality Through a Centralized Platform
Democratizing Data Quality Through a Centralized PlatformDemocratizing Data Quality Through a Centralized Platform
Democratizing Data Quality Through a Centralized PlatformDatabricks
 
GeoKettle: A powerful open source spatial ETL tool
GeoKettle: A powerful open source spatial ETL toolGeoKettle: A powerful open source spatial ETL tool
GeoKettle: A powerful open source spatial ETL toolThierry Badard
 

Tendances (19)

Snowflake Company Presentation
Snowflake Company PresentationSnowflake Company Presentation
Snowflake Company Presentation
 
Smartsheet’s Transition to Snowflake and Databricks: The Why and Immediate Im...
Smartsheet’s Transition to Snowflake and Databricks: The Why and Immediate Im...Smartsheet’s Transition to Snowflake and Databricks: The Why and Immediate Im...
Smartsheet’s Transition to Snowflake and Databricks: The Why and Immediate Im...
 
Snowflakes in the Cloud Real world experience on a new approach for Big Data
Snowflakes in the Cloud Real world experience on a new approach for Big DataSnowflakes in the Cloud Real world experience on a new approach for Big Data
Snowflakes in the Cloud Real world experience on a new approach for Big Data
 
Dataiku & Snowflake Meetup Berlin 2020
Dataiku & Snowflake Meetup Berlin 2020Dataiku & Snowflake Meetup Berlin 2020
Dataiku & Snowflake Meetup Berlin 2020
 
2021 gartner mq dsml
2021 gartner mq dsml2021 gartner mq dsml
2021 gartner mq dsml
 
10 benefits to thinking inside Box
10 benefits to thinking inside Box10 benefits to thinking inside Box
10 benefits to thinking inside Box
 
A tour of Oracle DV V3.0 new features (June 2017)
A tour of Oracle DV V3.0 new features (June 2017)A tour of Oracle DV V3.0 new features (June 2017)
A tour of Oracle DV V3.0 new features (June 2017)
 
PSSUG Nov 2012: Big Data with SQL Server
PSSUG Nov 2012: Big Data with SQL ServerPSSUG Nov 2012: Big Data with SQL Server
PSSUG Nov 2012: Big Data with SQL Server
 
Altis AWS Snowflake Practice
Altis AWS Snowflake PracticeAltis AWS Snowflake Practice
Altis AWS Snowflake Practice
 
Visualizing large datasets with elasticsearch and kibana
Visualizing large datasets with elasticsearch and kibanaVisualizing large datasets with elasticsearch and kibana
Visualizing large datasets with elasticsearch and kibana
 
Kafka and Kafka Streams in the Global Schibsted Data Platform
Kafka and Kafka Streams in the Global Schibsted Data PlatformKafka and Kafka Streams in the Global Schibsted Data Platform
Kafka and Kafka Streams in the Global Schibsted Data Platform
 
Managing Assets in Your GIS
Managing Assets in Your GISManaging Assets in Your GIS
Managing Assets in Your GIS
 
Managing hydrographic data for multiple usage
Managing hydrographic data for multiple usageManaging hydrographic data for multiple usage
Managing hydrographic data for multiple usage
 
Continuous Data Replication into Cloud Storage with Oracle GoldenGate
Continuous Data Replication into Cloud Storage with Oracle GoldenGateContinuous Data Replication into Cloud Storage with Oracle GoldenGate
Continuous Data Replication into Cloud Storage with Oracle GoldenGate
 
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...
Budapest Data Forum 2017 - BigQuery, Looker And Big Data Analytics At Petabyt...
 
Polyglot Persistence and Database Deployment by Sandeep Khuperkar CTO and Dir...
Polyglot Persistence and Database Deployment by Sandeep Khuperkar CTO and Dir...Polyglot Persistence and Database Deployment by Sandeep Khuperkar CTO and Dir...
Polyglot Persistence and Database Deployment by Sandeep Khuperkar CTO and Dir...
 
CData - Triangle Woodard Group - QuickBooks
CData - Triangle Woodard Group - QuickBooksCData - Triangle Woodard Group - QuickBooks
CData - Triangle Woodard Group - QuickBooks
 
Democratizing Data Quality Through a Centralized Platform
Democratizing Data Quality Through a Centralized PlatformDemocratizing Data Quality Through a Centralized Platform
Democratizing Data Quality Through a Centralized Platform
 
GeoKettle: A powerful open source spatial ETL tool
GeoKettle: A powerful open source spatial ETL toolGeoKettle: A powerful open source spatial ETL tool
GeoKettle: A powerful open source spatial ETL tool
 

En vedette

Gestor de proyectos docen tic final
Gestor de proyectos docen tic finalGestor de proyectos docen tic final
Gestor de proyectos docen tic finalCristina Rueda
 
Strategy formulation and SOWT analysis
Strategy formulation and SOWT analysisStrategy formulation and SOWT analysis
Strategy formulation and SOWT analysisSamya Alghazo
 

En vedette (17)

Plate of our Nation Report Summary
Plate of our Nation Report SummaryPlate of our Nation Report Summary
Plate of our Nation Report Summary
 
Fitness | 6 in 6 : Sneaky Workplace Workouts
Fitness | 6 in 6 : Sneaky Workplace WorkoutsFitness | 6 in 6 : Sneaky Workplace Workouts
Fitness | 6 in 6 : Sneaky Workplace Workouts
 
Fashion | No-sweat slimming
Fashion | No-sweat slimmingFashion | No-sweat slimming
Fashion | No-sweat slimming
 
Why stress is like a ninja
Why stress is like a ninjaWhy stress is like a ninja
Why stress is like a ninja
 
Awaken the Incredible You in minutes
Awaken the Incredible You in minutesAwaken the Incredible You in minutes
Awaken the Incredible You in minutes
 
Health | Daily Distractions & Sneaky saboteurs
Health | Daily Distractions & Sneaky saboteursHealth | Daily Distractions & Sneaky saboteurs
Health | Daily Distractions & Sneaky saboteurs
 
Food | Breakfasts not Borefests | savoury edition
Food | Breakfasts not Borefests | savoury editionFood | Breakfasts not Borefests | savoury edition
Food | Breakfasts not Borefests | savoury edition
 
Gestor de proyectos docen tic final
Gestor de proyectos docen tic finalGestor de proyectos docen tic final
Gestor de proyectos docen tic final
 
Plate of our Nation
Plate of our NationPlate of our Nation
Plate of our Nation
 
Team and project
Team and projectTeam and project
Team and project
 
Recipes | Yes! You can make friends with salad
Recipes | Yes! You can make friends with saladRecipes | Yes! You can make friends with salad
Recipes | Yes! You can make friends with salad
 
Voice of the market
Voice of the  marketVoice of the  market
Voice of the market
 
Food | Breakfasts not Borefests | Sweet edition
Food | Breakfasts not Borefests | Sweet editionFood | Breakfasts not Borefests | Sweet edition
Food | Breakfasts not Borefests | Sweet edition
 
Light Lunches for a Lighter Week
Light Lunches for a Lighter WeekLight Lunches for a Lighter Week
Light Lunches for a Lighter Week
 
Strategy formulation and SOWT analysis
Strategy formulation and SOWT analysisStrategy formulation and SOWT analysis
Strategy formulation and SOWT analysis
 
цахилгаан
цахилгаанцахилгаан
цахилгаан
 
Merger & Acquisitions
Merger & Acquisitions Merger & Acquisitions
Merger & Acquisitions
 

Similaire à Inside atento [sa 302] - (4094)

UNV Are Dead - How to migrate to UNX in a few simple steps
UNV Are Dead - How to migrate to UNX in a few simple stepsUNV Are Dead - How to migrate to UNX in a few simple steps
UNV Are Dead - How to migrate to UNX in a few simple stepsWiiisdom
 
SAP BI/DW Training with BO Integration
SAP BI/DW Training with BO IntegrationSAP BI/DW Training with BO Integration
SAP BI/DW Training with BO Integrationmishra4927
 
Unpacking The New Oracle BI Apps (Now With ODI!)
Unpacking The New Oracle BI Apps (Now With ODI!)Unpacking The New Oracle BI Apps (Now With ODI!)
Unpacking The New Oracle BI Apps (Now With ODI!)KPI Partners
 
Moving OBIEE to Oracle Analytics Cloud
Moving OBIEE to Oracle Analytics CloudMoving OBIEE to Oracle Analytics Cloud
Moving OBIEE to Oracle Analytics CloudEdelweiss Kammermann
 
Day 02 sap_bi_overview_and_terminology
Day 02 sap_bi_overview_and_terminologyDay 02 sap_bi_overview_and_terminology
Day 02 sap_bi_overview_and_terminologytovetrivel
 
SPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDSSPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDSNicolas Georgeault
 
SQL Server 2019 Big Data Cluster
SQL Server 2019 Big Data ClusterSQL Server 2019 Big Data Cluster
SQL Server 2019 Big Data ClusterMaximiliano Accotto
 
Best practices to deliver data analytics to the business with power bi
Best practices to deliver data analytics to the business with power biBest practices to deliver data analytics to the business with power bi
Best practices to deliver data analytics to the business with power biSatya Shyam K Jayanty
 
How to Place Data at the Center of Digital Transformation in BFSI
How to Place Data at the Center of Digital Transformation in BFSIHow to Place Data at the Center of Digital Transformation in BFSI
How to Place Data at the Center of Digital Transformation in BFSIDenodo
 
Learn how SAP BusinessObjects is used at BEC and some of their challenges res...
Learn how SAP BusinessObjects is used at BEC and some of their challenges res...Learn how SAP BusinessObjects is used at BEC and some of their challenges res...
Learn how SAP BusinessObjects is used at BEC and some of their challenges res...Wiiisdom
 
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...Nicolas Georgeault
 
Anant_Shekdar_BI_Resume
Anant_Shekdar_BI_ResumeAnant_Shekdar_BI_Resume
Anant_Shekdar_BI_ResumeAnant Shekdar
 
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Denodo
 
Understanding The Azure Platform March 2010
Understanding The Azure Platform   March 2010Understanding The Azure Platform   March 2010
Understanding The Azure Platform March 2010DavidGristwood
 
Integration intervention: Get your apps and data up to speed
Integration intervention: Get your apps and data up to speedIntegration intervention: Get your apps and data up to speed
Integration intervention: Get your apps and data up to speedKenneth Peeples
 
Building IoT and Big Data Solutions on Azure
Building IoT and Big Data Solutions on AzureBuilding IoT and Big Data Solutions on Azure
Building IoT and Big Data Solutions on AzureIdo Flatow
 

Similaire à Inside atento [sa 302] - (4094) (20)

Sap BusinessObjects 4
Sap BusinessObjects 4Sap BusinessObjects 4
Sap BusinessObjects 4
 
AhmedWasfi2015
AhmedWasfi2015AhmedWasfi2015
AhmedWasfi2015
 
UNV Are Dead - How to migrate to UNX in a few simple steps
UNV Are Dead - How to migrate to UNX in a few simple stepsUNV Are Dead - How to migrate to UNX in a few simple steps
UNV Are Dead - How to migrate to UNX in a few simple steps
 
SAP BI/DW Training with BO Integration
SAP BI/DW Training with BO IntegrationSAP BI/DW Training with BO Integration
SAP BI/DW Training with BO Integration
 
Unpacking The New Oracle BI Apps (Now With ODI!)
Unpacking The New Oracle BI Apps (Now With ODI!)Unpacking The New Oracle BI Apps (Now With ODI!)
Unpacking The New Oracle BI Apps (Now With ODI!)
 
Moving OBIEE to Oracle Analytics Cloud
Moving OBIEE to Oracle Analytics CloudMoving OBIEE to Oracle Analytics Cloud
Moving OBIEE to Oracle Analytics Cloud
 
Day 02 sap_bi_overview_and_terminology
Day 02 sap_bi_overview_and_terminologyDay 02 sap_bi_overview_and_terminology
Day 02 sap_bi_overview_and_terminology
 
SPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDSSPS Vancouver 2018 - What is CDM and CDS
SPS Vancouver 2018 - What is CDM and CDS
 
SQL Server 2019 Big Data Cluster
SQL Server 2019 Big Data ClusterSQL Server 2019 Big Data Cluster
SQL Server 2019 Big Data Cluster
 
Best practices to deliver data analytics to the business with power bi
Best practices to deliver data analytics to the business with power biBest practices to deliver data analytics to the business with power bi
Best practices to deliver data analytics to the business with power bi
 
How to Place Data at the Center of Digital Transformation in BFSI
How to Place Data at the Center of Digital Transformation in BFSIHow to Place Data at the Center of Digital Transformation in BFSI
How to Place Data at the Center of Digital Transformation in BFSI
 
Learn how SAP BusinessObjects is used at BEC and some of their challenges res...
Learn how SAP BusinessObjects is used at BEC and some of their challenges res...Learn how SAP BusinessObjects is used at BEC and some of their challenges res...
Learn how SAP BusinessObjects is used at BEC and some of their challenges res...
 
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
Cortana analytics ou comment office 365 peut rendre vos données plus intellig...
 
Anant_Shekdar_BI_Resume
Anant_Shekdar_BI_ResumeAnant_Shekdar_BI_Resume
Anant_Shekdar_BI_Resume
 
Sql 2016 2017 full
Sql 2016   2017 fullSql 2016   2017 full
Sql 2016 2017 full
 
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)
 
Understanding The Azure Platform March 2010
Understanding The Azure Platform   March 2010Understanding The Azure Platform   March 2010
Understanding The Azure Platform March 2010
 
Integration intervention: Get your apps and data up to speed
Integration intervention: Get your apps and data up to speedIntegration intervention: Get your apps and data up to speed
Integration intervention: Get your apps and data up to speed
 
Sql 2017 net raf
Sql 2017  net rafSql 2017  net raf
Sql 2017 net raf
 
Building IoT and Big Data Solutions on Azure
Building IoT and Big Data Solutions on AzureBuilding IoT and Big Data Solutions on Azure
Building IoT and Big Data Solutions on Azure
 

Dernier

How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?XfilesPro
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 

Dernier (20)

How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 

Inside atento [sa 302] - (4094)

  • 1. April 10-12 | Chicago, IL Inside Atento Strategies for a Datawarehouse Javier Torrenteras. SolidQ BI Director Enrique Moreno. CIO Atento
  • 2. April 10-12 | Chicago, IL Please silence cell phones
  • 3. Agenda 1. Atento as a global company 2. From isolated information to an EDW 3. Azure as the BI Platform 3
  • 4. ATENTO AS A GLOBAL COMPANY 4
  • 5. 5 FROM ISOLATED INFORMATION TO AN EDW Background and goals Each country has its own systems to manage and support daily operations, but all use the same processes and business units. The company also had isolated data marts, based on different technologies, that weren’t shared across departments, so generating monthly executive reports was time- consuming, requiring lots of manual validation and coordination. The corporate office needed to consolidate all that information and align local indicators with the global business strategy to provide a unified repository for local and global management
  • 6. 6 FROM ISOLATED INFORMATION TO AN EDW Main Challenge Build a common system as flexible as Atento is
  • 7. 7 FROM ISOLATED INFORMATION TO AN EDW Initial Stuff Sql Server Oracle Oracle EIP SGS SAP BPC Local BI System Sql Server Oracle Local BI System Sql Server Oracle Sql Server Oracle
  • 8. 8 FROM ISOLATED INFORMATION TO AN EDW BI Strategy Aligned With IT Roadmap Unify tools at country level • Same desktop platform • Same ERP • Common intranet • eDW Main Priority • Corporate reporting to measure effective and efficient company performance Convert weaknesses in strengths Quick Wins
  • 9. 9 FROM ISOLATED INFORMATION TO AN EDW Global And Local Users Engagement QW1 • POC to consolidate indicators based on global corporate reports QW2 •Train corporate users to have them supporting the new BI system QW3 •Compile existing definitions from all countries to build a common set of indicators and dimensions. Involvement of country and corporate teams. QW4 •Minimize impact on the current local processes providing a common tool based on their current local processes QW5 •Train country users on the global BI system to understand the value of a EDW QW6 •Build the BI system following agile methodologies involving final users through all the iterations
  • 10. FROM ISOLATED INFORMATION TO AN EDW Agile Implementation Create Collaboration Area • Unify criteria per area based on conversations with final users • Create common templates for all countries •Create web portal in Sharepoint Extend BI system •Add new indicators and dimensions •Incorporate countries Engage Users •Train final users •Validate data against existing reports Iteration n
  • 11. FROM ISOLATED INFORMATION TO AN EDW BI Architecture Keys Analysis Services •OLAP storage DW Database •Fact and Dimension schemas to support eDW Staging Database •One schema for each data source •Views to consolidate data for area •Single point of source for the eDW •Provide independence to the number of sources •Scripts and stored procedures to automatically add new sources ETL •Changes needed to incorporate new dimensions and measures, but not new sources
  • 12. FROM ISOLATED INFORMATION TO AN EDW Loading Staging Country Users Unify information per country and department Stage Send DW Country 2 Country nCountry 1 Data Control Checks
  • 13. FROM ISOLATED INFORMATION TO AN EDW MS BI Features Involved
  • 14. 14 FROM ISOLATED INFORMATION TO AN EDW Final Data Flow Corporate BI System
  • 15. AZURE AS THE BI PLATFORM From Zero to 100 using the cloud Atento needed additional IT to: Extend the network Create a corporate domain Build new servers Provide global access Havi minimum risks and costs
  • 16. AZURE AS THE BI PLATFORM Hybrid Network XX.XXX.XX.XX/XX Internet XX.XXX.XX.XX XX.XXX.XX.XX XX.XXX.XX.XX XX.XXX.XX.XX XX.XXX.XX.XX Windows Azure (Europe West DC)Atento (Madrid) SubNet01LANAtento DNS Atento: Proxy Atento DNS DC/AD Azure MIS XX.XXX.XX.XX/XX
  • 17. AZURE AS THE BI PLATFORM Active Directory And BI In The Cloud ADSGLB001 Azure Virtual Machine Domain Controller 01 ADSGLB002 Azure Virtual Machine Domain Controller 02 Azure Virtual Machinge Analysis Services CBIGBL001 CBIGBL002 Azure Virtual Machine Integration Services SQLGBL001 Azure Virtual Machine DBMS SQL Server 2012 Azure Virtual Machine SharePoint Server 2010 01 LOC: West Europe VMS: L (4 Cores) SHPGBL001 LOC: West Europe VMS: L (4 Cores) LOC: West Europe VMS: L (4 Core) LOC: West Europe VMS: L (4 Core) LOC: West Europe VMS: S (1 Core) LOC: West Europe VMS: S (1 Core) CLOUD ACTIVE DIRECTORY AND INFRASTRUCTURE VPN CROSS-SITE ATENTO-AZURE (VIRTUAL NETWORK) Local/Corporate Atento Network SAP BPC Atento Virtual Machine LOC: Atento Corporate Network Local System Atento Virtual Machine LOC: Atento Local Network Local System Atento Physical Machine LOC: Atento Local Network
  • 18. CONCLUSIONS Strategy •Quick Wins •Short Time to Market and quick ROI •Local and corporate users using the same information Development •Agile methodology and early training •Final user engagement Infrastructure •Azure •Immediate and flexible infrastructure management
  • 20. Win a Microsoft Surface Pro! Complete an online SESSION EVALUATION to be entered into the draw. Draw closes April 12, 11:59pm CT Winners will be announced on the PASS BA Conference website and on Twitter. Go to passbaconference.com/evals or follow the QR code link displayed on session signage throughout the conference venue. Your feedback is important and valuable. All feedback will be used to improve and select sessions for future events.
  • 21. April 10-12, Chicago, IL Thank you! Diamond Sponsor Platinum Sponsor

Notes de l'éditeur

  1. Atento:as you can see in this map atento is a global companyWith operations in 16 countries,most of them in south america,  we are more than one hundred and fifty thousand  employees,  we are  providing customer support to hundreds of millions of people in europe, north and south america and africa.  founded by telefonica in spain, we were involve in an adquisition by bain capital group As Contact Center and BPO LeadersWe represent major clients in very diverse areas of action - finance, telecommunications,insurance, technology and so on. in every country where we are. Our solutions, product portfolio.Backoffice, customer service, sales, debt recovery,service desk, technical supportwhich are offered as part of a real partnership with our clients  supported by multichannels solutions.
  2. Each country has its own systems to manage and support daily operations, but all use the same processes and business units. The company also had isolated data marts, based on different technologies, that weren’t shared across departments, so generating monthly executive reports was time-consuming, requiring lots of manual validation and coordination The corporate office needed to consolidate allthat information andalign localindicators with the global business strategy.
  3. There was another big challenge to support. Atento is a very flexible company, they adapt to the changes very quickly, so that means the are having new countries, entities and organizations quite frequently. So the BI system should be able to grow and adapt to their needs very quickly. Agility is the main concept here. In summary, we need to have the ability to do adapt to the changes quite easily with the minimum impact in the system.
  4. The initial stuff is compose by local systems that are managed by local teams. Some countries have their own local BI systems. The corporate office has started to compile manually the information and storing it in the corporate system, howev.er the process is quite tedious and produce a compile scorecard from the different corporate sources it is a hard task
  5. One of the main question before starting the Project was to identify the priorities for Atento in terms of IT. The main goal was to consolidate not just the process across the organization but also the tools and systems.For an organization like Atento, having the possibility of analyzing the data cross-country and cross-department is a must. They are managing 150.000 employees and 500 clients, they have to assure the company is running within the expected performance to assure its continuity.However the diversity of the tools and the manual based operations run in each country was an important challenge. Moving from a local-isolated strategy to a global-consolidated company needs to assure people and process adapt to the new vision quite smoothly. To assure that Atento defined a set of actions so they can move to the final goal based on a Quick Wins plan.
  6. Toassurethesuccess of thecorporateimplentationisneededtoassurethatallusersinvolvedunderstandthevalue of thesystem and are engaged so theimplementationwould be considered as anopportunitynot as asriskor as a threat. Proof of concept, training and minimalchangesontheirday-by-daybasicsprocessesis crucial.
  7.  Se were spending a lot of money deploying global Solutions :Global SAP rollout, eprocurenent Platform , Global CRM. new global prívate Cloud IaaS.We get the solution ready and we need to deploy it.Spending a lot of money in global project one of them deployment global infrastructures As Private CloudExtend the networkCreate a corporate domainBuild new serversProvide global accessHavi minimum risks and costs