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glenture
ABOUT GLENTURE
Global Headcount – 1k+
Projected 2012 Revenue - $140M
Clients – 250+
Verticals covered – 10
Offices:
Quick Facts
Dallas
Chicago
Austin
Washington
Bangalore
Sydney
Toronto
CUSTOMER SUCCESS
FEATURED:
• INFORMATION WEEK
• MICROSOFT CASE STUDIES
• FORRESTER BI IMPLEMENTER
SELECTOR TOOL
• MICROSOFT BI CONFERENCE
GOAL AND STRATEGY
STRATEGY
Develop Industry and Line Of Business
competencies and Intellectual Property to
allow for rapid and robust implementation of
Business Intelligence and Enterprise
Collaboration / Knowledge / Content
management solutions using Microsoft
technology platform
GOAL
Make it easy for our customers to choose
Glenture as the GO-TO partner to implement
Microsoft based solutions
WHY GLENTURE?
 Glenture is 100% focused on solutions based on Microsoft technology
 Tight partnership with Microsoft development, solutions and account management teams
 Depth and breadth of expertise across various Microsoft technologies
 Strong Business Acumen (across various industries, functions and LOBs)
 Strong Project Management
 Proven track of large fixed fee implementations
 Ability to handle large and small assignments; Full-lifecycle support
 Volume, tenure, and prompt pay discount options.
Focus
 As a national SI, Glenture can often minimize travel costs by utilizing local consultants
 Flexible, on-demand operating model reduces resource cost
 Multiple engagement options (from staff augmentations to fixed fee engagements)
Quality
Value
.NET
Business
Intelligence
Enterprise
Collaboration
and Knowledge
Management
Custom
Application
Development
SOLUTIONS
.NET
MICROSOFT IS A LEADER IN BUSINESS INTELLIGENCE
Gartner
“Microsoft exhibits one of the best value propositions on the market with a low cost and a
highly favorable price / performance ratio”
- Gartner, February 2012
[Gartner, Inc., Magic Quadrant for Data Warehouse Database Management Systems Magic Quadrant, Mark A. Beyer, Donald Feinberg, Merv Adrian, Roxane Edjlali, February 6, 2012.
The Magic Quadrant is copyrighted 2012 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how
certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only
those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this
research, including any warranties of merchantability or fitness for a particular purpose.
Business Intelligence
Connector
and ETL
SOLUTION ARCHITECTURE
Fact Data
Master Data
Reporting Model
(Analysis Services Tabular)
 Relationships
 Calculations
 Images
SharePoint
Scorecards
Excel
Workbooks
SharePoint
Search &
Dashboards
Templates:
 Financial
statements
 Score Card
 PowerView
glenture
Source Systems:
• CRM
• Financials/GL
• Flat files
• Database access
BUSINESS INTELLIGENCE
BI STACK
• Data Warehouse
• Master Data Management
• Data Visualizations
• Dashboards
• Reports
• Ad-Hoc
• Enterprise Information
Management
SHAREPOINT SERVICES
Content Management
•Document Management
•Versioning
•Intuitive Navigation
•Managed Taxonomy
•Search Customization and Optimization
Social Networking & Collaboration
•Communities
•Wikis and Blogs
•My Sites
•Portals
•Microsoft Office Integration
Business Process Automation
•Workflows and Data Driven Alerts
•Management by Exception
•Dashboards and Reporting
•BI and External Systems Integration
•Custom Web Parts
•Corporate Governance
Implementation Services
•Assessments and Best Practices Guidance
•Infrastructure and Site Architecture
•Upgrade and Migration
•Intranet and Extranet Deployments
•Custom Branding
•Application Maintenance
Document
Management
Knowledge
Management
Business
Process
Management
User
Experience
Pervasive
Insight
Actionable and Collaborative Insight
INTELLECTUAL PROPERTY
• Accelerators
• Connectors
• Quick start and Jump start kits
• Industry focus tracks
DEVELOPMENT/DESIGN METHODOLOGY
Glenture uses a structured, iterative development approach
Learn & Plan
 Identify business
and project
priorities
 Review current
state processes
and systems
 Inventory
requirements, pai
n points, and
metrics
 Align business
and IT to
conceptual
solution design
 Finalize project
plan and release
strategy
Technical
Readiness
 Assess current
systems
environment for
conversion
 Set-up
development, tes
t and production
environments
 Install /
Configure
software
 Formulate
conversion
approach
Realization - Build
 Build ETL and
Data Validation
components
 Build data
migration and load
processes
 Implement Security
Realization -
Requirements
Traceability
 Perform unit
testing
 Certify results
against inventoried
requirements
Stabilization-
System
 Load, test, and
certify end-to-end
processing
 Convert full data
Stabilization- -
Quality Assurance
 Certify all data
 Validate input
schedules, reportin
g with business
areas
 Tune and
optimize
 Complete the
support
plan, usage /
training materials
Deployment &
Support
 Knowledge Transfer
and User Training
 Production roll-out
and support
 Project closure /
wrap-up
Blueprint
& Design
Realization Stabilization
Deployment &
Support
Learn &
Plan
Technology
Readiness
Blueprint
 Define component
and data
architectures
 Map master data
and source data
Design
 Design the
Prepare, Stage, Ma
nage and Consume
tiers
 Map master data
and source data
 Produce solution
design document
reflection pilot
outcomes
Learn & Plan
Technology
Readiness
Blueprint &
Design
Realization
Stabilization
Deployment
ELI LILLY
Impact
Opportunity
The Orion project delivered comprehensive project portfolio data on a
near real time basis, supplemented by a set of the reporting and analytical
tools to allow managers and decision scientists to make right decisions at
the right time. The solutions included the following:
 Data Warehouse (Microsoft SQL Server)
 ETL from various disparate sources
 Data Visualizations deployed in SharePoint portal
 Analysis Services cubes
 Ad-Hoc reporting capabilities
Solution
Assist 350 Business Managers to
manage Lilly’s R&D portfolio through a
variety of lenses:
 $$$ spent
 Milestones
 Clinical Trials
 Risks
 Probabilities
 Return on Investment
Existing process took months to
collect, cleanse, and aggregate data
from multiple applications which made
it difficult to make strategic decisions
in a timely fashion.
$23B IN
REVENUE
38K
EMPLOYEES
PHARMACEUTICALS
BEALLS
Impact
Opportunity
Glenture developed an Analysis Services cube over the Operational
Data Store that enabled a consistent sub-second response time for
reporting and ad-hoc analysis
Over 100 Key Performance Indicators were developed to provide
insight into the sales, ordering and merchandise inventory
Data from different business units were consolidated into a single
repository to enable the single and complete source of reporting
across the entire business
Glenture assisted with training and Change Management to insure
successful user adoption of the solution
Solution
Merchandise buyers are constantly challenged to manage the ordering and
inventory of the merchandise. The existing data management and reporting assets
are stressed beyond their limits to support billions of transactions and terabytes of
data to provide near real time response for reporting and ad-hoc analytics
$1B+IN
REVENUE
500+
STORES
RETAIL
11,000
EMPLOYEES
TAKEDA PHARMACEUTICAL USA
Impact
Opportunity
Glenture built a Data Warehouse and an Analysis Services
Cube as it automated the load of General Ledger and Cost
Center data from the SAP FI/CO modules. Various financial
reports such as Income Statement, Balance sheet, Cash
flow, and Cost Center Analytics have been developed. These
reports can now simply be refreshed for the desired reports
parameters and they no longer require any manual data
manipulation or additional work effort to maintain. The
accuracy of the underlying data has been substantially
increased while reducing the report generation time from
weeks to minutes.
Solution
The finance and accounting functions of the company are frustrated with
the accuracy and the manual effort of the existing processes for
generating management and statutory reports. Inefficiencies in
manipulation of SAP and Cognos data lead to delays of the monthly close
process as well as the delayed visibility into the financial performance of
the company.
$16B+IN
REVENUE
FOUNDED IN
1781
20,000
EMPLOYEES
PHARMACEUTICALS
glenture
?

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Overview of Operations

  • 2. ABOUT GLENTURE Global Headcount – 1k+ Projected 2012 Revenue - $140M Clients – 250+ Verticals covered – 10 Offices: Quick Facts Dallas Chicago Austin Washington Bangalore Sydney Toronto
  • 3. CUSTOMER SUCCESS FEATURED: • INFORMATION WEEK • MICROSOFT CASE STUDIES • FORRESTER BI IMPLEMENTER SELECTOR TOOL • MICROSOFT BI CONFERENCE
  • 4. GOAL AND STRATEGY STRATEGY Develop Industry and Line Of Business competencies and Intellectual Property to allow for rapid and robust implementation of Business Intelligence and Enterprise Collaboration / Knowledge / Content management solutions using Microsoft technology platform GOAL Make it easy for our customers to choose Glenture as the GO-TO partner to implement Microsoft based solutions
  • 5. WHY GLENTURE?  Glenture is 100% focused on solutions based on Microsoft technology  Tight partnership with Microsoft development, solutions and account management teams  Depth and breadth of expertise across various Microsoft technologies  Strong Business Acumen (across various industries, functions and LOBs)  Strong Project Management  Proven track of large fixed fee implementations  Ability to handle large and small assignments; Full-lifecycle support  Volume, tenure, and prompt pay discount options. Focus  As a national SI, Glenture can often minimize travel costs by utilizing local consultants  Flexible, on-demand operating model reduces resource cost  Multiple engagement options (from staff augmentations to fixed fee engagements) Quality Value .NET
  • 7. MICROSOFT IS A LEADER IN BUSINESS INTELLIGENCE Gartner “Microsoft exhibits one of the best value propositions on the market with a low cost and a highly favorable price / performance ratio” - Gartner, February 2012 [Gartner, Inc., Magic Quadrant for Data Warehouse Database Management Systems Magic Quadrant, Mark A. Beyer, Donald Feinberg, Merv Adrian, Roxane Edjlali, February 6, 2012. The Magic Quadrant is copyrighted 2012 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Business Intelligence
  • 8. Connector and ETL SOLUTION ARCHITECTURE Fact Data Master Data Reporting Model (Analysis Services Tabular)  Relationships  Calculations  Images SharePoint Scorecards Excel Workbooks SharePoint Search & Dashboards Templates:  Financial statements  Score Card  PowerView glenture Source Systems: • CRM • Financials/GL • Flat files • Database access
  • 9. BUSINESS INTELLIGENCE BI STACK • Data Warehouse • Master Data Management • Data Visualizations • Dashboards • Reports • Ad-Hoc • Enterprise Information Management
  • 10. SHAREPOINT SERVICES Content Management •Document Management •Versioning •Intuitive Navigation •Managed Taxonomy •Search Customization and Optimization Social Networking & Collaboration •Communities •Wikis and Blogs •My Sites •Portals •Microsoft Office Integration Business Process Automation •Workflows and Data Driven Alerts •Management by Exception •Dashboards and Reporting •BI and External Systems Integration •Custom Web Parts •Corporate Governance Implementation Services •Assessments and Best Practices Guidance •Infrastructure and Site Architecture •Upgrade and Migration •Intranet and Extranet Deployments •Custom Branding •Application Maintenance Document Management Knowledge Management Business Process Management User Experience Pervasive Insight Actionable and Collaborative Insight
  • 11. INTELLECTUAL PROPERTY • Accelerators • Connectors • Quick start and Jump start kits • Industry focus tracks
  • 12. DEVELOPMENT/DESIGN METHODOLOGY Glenture uses a structured, iterative development approach Learn & Plan  Identify business and project priorities  Review current state processes and systems  Inventory requirements, pai n points, and metrics  Align business and IT to conceptual solution design  Finalize project plan and release strategy Technical Readiness  Assess current systems environment for conversion  Set-up development, tes t and production environments  Install / Configure software  Formulate conversion approach Realization - Build  Build ETL and Data Validation components  Build data migration and load processes  Implement Security Realization - Requirements Traceability  Perform unit testing  Certify results against inventoried requirements Stabilization- System  Load, test, and certify end-to-end processing  Convert full data Stabilization- - Quality Assurance  Certify all data  Validate input schedules, reportin g with business areas  Tune and optimize  Complete the support plan, usage / training materials Deployment & Support  Knowledge Transfer and User Training  Production roll-out and support  Project closure / wrap-up Blueprint & Design Realization Stabilization Deployment & Support Learn & Plan Technology Readiness Blueprint  Define component and data architectures  Map master data and source data Design  Design the Prepare, Stage, Ma nage and Consume tiers  Map master data and source data  Produce solution design document reflection pilot outcomes Learn & Plan Technology Readiness Blueprint & Design Realization Stabilization Deployment
  • 13. ELI LILLY Impact Opportunity The Orion project delivered comprehensive project portfolio data on a near real time basis, supplemented by a set of the reporting and analytical tools to allow managers and decision scientists to make right decisions at the right time. The solutions included the following:  Data Warehouse (Microsoft SQL Server)  ETL from various disparate sources  Data Visualizations deployed in SharePoint portal  Analysis Services cubes  Ad-Hoc reporting capabilities Solution Assist 350 Business Managers to manage Lilly’s R&D portfolio through a variety of lenses:  $$$ spent  Milestones  Clinical Trials  Risks  Probabilities  Return on Investment Existing process took months to collect, cleanse, and aggregate data from multiple applications which made it difficult to make strategic decisions in a timely fashion. $23B IN REVENUE 38K EMPLOYEES PHARMACEUTICALS
  • 14. BEALLS Impact Opportunity Glenture developed an Analysis Services cube over the Operational Data Store that enabled a consistent sub-second response time for reporting and ad-hoc analysis Over 100 Key Performance Indicators were developed to provide insight into the sales, ordering and merchandise inventory Data from different business units were consolidated into a single repository to enable the single and complete source of reporting across the entire business Glenture assisted with training and Change Management to insure successful user adoption of the solution Solution Merchandise buyers are constantly challenged to manage the ordering and inventory of the merchandise. The existing data management and reporting assets are stressed beyond their limits to support billions of transactions and terabytes of data to provide near real time response for reporting and ad-hoc analytics $1B+IN REVENUE 500+ STORES RETAIL 11,000 EMPLOYEES
  • 15. TAKEDA PHARMACEUTICAL USA Impact Opportunity Glenture built a Data Warehouse and an Analysis Services Cube as it automated the load of General Ledger and Cost Center data from the SAP FI/CO modules. Various financial reports such as Income Statement, Balance sheet, Cash flow, and Cost Center Analytics have been developed. These reports can now simply be refreshed for the desired reports parameters and they no longer require any manual data manipulation or additional work effort to maintain. The accuracy of the underlying data has been substantially increased while reducing the report generation time from weeks to minutes. Solution The finance and accounting functions of the company are frustrated with the accuracy and the manual effort of the existing processes for generating management and statutory reports. Inefficiencies in manipulation of SAP and Cognos data lead to delays of the monthly close process as well as the delayed visibility into the financial performance of the company. $16B+IN REVENUE FOUNDED IN 1781 20,000 EMPLOYEES PHARMACEUTICALS

Hinweis der Redaktion

  1. http://www.gartner.com/technology/reprints.do?id=1-196VVFJ&ct=120207&st=sbhttp://www.gartner.com/technology/reprints.do?id=1-196VVFG&ct=120207&st=sb
  2. There three areas of IP delivered within the AcceleratorData integration Logic that allows us to pull transaction data from General Ledger and COPA as well as the Master Data. The Accelerator includes the ETL framework to facilitate that data integrationRelational and reporting model to store data and also enhance data by creating relationships, calculations and adding things like images Data visualization templates for Financial statements such as Income statement and Balance sheetMargin Analytics dashboard that includes scorecards, charts, maps, and reportsPowerView dashboardTemplates are fully customizable and if a customer has a brand identity implemented within the SharePoint site, it will be carried over in the data visualization components that will be delivered with this solution
  3.  SituationWith a few thousand potential drugs in the pipeline for Indianapolis based pharmaceutical company Eli Lilly at any given time, over 350 business managers need to track the R&D process and analyze 100's of factors, such as the amount of money spent on each potential drug,  the delivery timeline, the progress, timings and cost of the clinical trials, the business risks, the likelihood of the drug making it to market as well as the potential return the drug will bring on the investment.  The data to support these decisions was spread out in multiple siloed systems and required highly educated statisticians weeks and even months to aggregate this data for reports.  By the time the reports were delivered, the data was seriously dated and decisions which could have been made weeks or months ago were delayed, costing unnecessary money and delaying the opportunity for other targeted drugs to be introduced into the pipeline. Glenture's RoleGlenture was engaged to partner in the development of a Microsoft data warehouse solution and that aggregated the data nightly from the disparate data sources  and presented the users standardized reports available via a SharePoint portal. The Orion project was developed using an Agile methodology which allowed Lilly to receive new functionality after each month-long sprint.  This expedited delivery provided the decision scientists the information quickly to refine the requirements as well as enabling the ability to perform ad-hoc analysis early in the delivery cycle of the project.  Over the three year/30 release timeline of the project, other data sources were added to the warehouse and comprehensive reports and analysis were available immediately to the inquiring scientist when previous, it was impossible or impractical to produce. Glenture's areas of responsibilityLead ArchitectETL Design and DevelopmentSSAS Cube Design and DevelopmentSSRS Report Design and DevelopmentSharePoint Portal Design and DevelopmentChange ManagementUser Requirements GatheringSystem TestingDeployment  
  4. SituationWith over 560 stores throughout the Sun Belt, merchandise buyers for Beall's Department Store are constantly challenged to manage the ordering and inventory of the merchandise.  As their systems are currently evolving, their operational data source is not designed to support reporting needs of the merchandising group.  Reports have to be segmented in order to complete in a reasonable time and ad hoc reporting across the organization is currently difficult, if not impossible, making merchandising management decisions difficult for the buyers. Glenture's RoleGlenture was engaged to develop an Analysis Services cube over the operational data source and provide immediate access to over 100 Key Performance Indicators (KPI).  Glenture was challenged to provide ad hoc query response in seconds when previous queries could take over 30 minutes to return.  Additionally, the data for the entire Beall's chain was to be included in the cube, making reporting across the entire business possible.  Glenture trained the buyers on the ad hoc reporting features of Excel, allowing the buyers to be able  to perform the research and analysis needed to be able to manage the buying and inventory of their merchandise. Glenture's areas of responsibilityLead ArchitectETL Design and DevelopmentSSAS Cube Design and DevelopmentChange ManagementUser Requirements GatheringSystem TestingDeployment
  5. Quick FactsTakeda Pharmaceutical USAHeadquarters Deerfield, ILIndustry PharmaceuticalProducts/Services Producing industry leading medicines that helps patients with diabetes, acid reflux, and other illnesses.Budget/Revenue $EmployeesMain Reason Investing In New Applications                The current reporting solution is a completely manual, Microsoft Excel driven solution where each report takes hours to days of someone’s time to generate. Even with those reports, the accuracy is questioned because of the manual data download from the source system (SAP, Cognos, etc.) and manual data manipulation. Situation                The current reporting solution is a completely manual, Microsoft Excel driven solution where each report takes hours to days of someone’s time to generate. Even with those reports, the accuracy is questioned because of the manual data download from the source system (SAP, Cognos, etc.) and manual data manipulation. These manual reporting solution delays their close process and the upper management has delayed visibility to the financial data. (e.g. The upper management gets the “Daily Sales Report” on a weekly basis due to the time required to put together the “Daily Sales Report”.) Glenture’s RoleGlenture was engaged to implement the Microsoft Business Intelligence reporting solution that willExtract financial and operational data from the source system (e.g. SAP, Cognos, etc.)Create a data warehouse to house the dataImplement a Microsoft cube (SSAS) for reporting purposesGenerate reports (both web and Microsoft Excel based) that will consume the data from the cube. Glenture has completed the phase 1 which consumed the General Ledger and Cost Center data in the SAP FI/CO modules and created Income Statement, Balancesheet, Cashflow Reports, and Cost Center Reports. These reports now can be updated monthly by simply changing the month parameter in the reports rather than manually downloading data each month, manually putting them together in Microsoft Excel, and creating a presentation quality reports. The reporting effort has been increased from weeks of efforts to generate 22 reports to minutes. Glenture’s area of responsibility includesProject LeadData Warehouse architectBI (cube) architectBusiness AnalystETL (Informatica) developersReporting developers