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QlikView in the Enterprise Henry Seddon VP Global Marketing VP Global Marketing May 2012
QlikView in the Enterprise
Henry Seddon
VP Global Marketing VP Global Marketing
May 2012
The Consumerization of BI (and IT)
Mobile Self Service
Associative slide..
Gartner: “BI bifurcation”
Traditional
“What began as a market buying trend in 2010 has become a bifurcation of
the market into two distinct segments.” - Gartner
Business
SOURCE: Gartner Emerging Technology Analysis paper on
Visualization-Based Data Discovery Tools, June 2011
Traditional
BI(aka: “Stack Vendors”,
“Mega-vendors”,
“Report-centric BI” etc)
Business
Discovery(aka: “Data Discovery”,
“Visual Analytics”,
“Agile BI”, etc)
Product Capabilities – The ‘Big 4’
• Scalability
– Users – Concurrency & Data Volumes
• Security
– Authentication and Authorisation
• Integration• Integration
– Data intergation, web integration and application integration
• Governance & Manageability
– Server-side Management Console. License, data reload, application
provisioning, security all managed here
– Data, license, application monitoring. Built-in metadata.
Scalability
QlikView is a Platform That Scales
25X
10,000X
Enterprise:QlikView Local Client Clustered QlikView ServersClustered QlikView Publishers
NU
MB
ER
O
F U
SE
RS
IE plug-in
AJAX
iPad
Single User:QlikView Local Client (Personal Use License)
Small Workgroup:QlikView Local Client
Departmental:QlikView Local ClientQlikView ServerQlikView Publisher
10X
1X
NU
MB
ER
O
F U
SE
RS
D E P L O Y M E N T T Y P E
iPhone
AndroidBlackberry
• Scale up by adding more memory
• Scaling out by adding more servers
• Adding extra web servers in the
presentation tier creating a QlikView Web
Server cluster
• Use a load balancer on top to balance
QlikView Server Scaling Techniques
• Use a load balancer on top to balance
HTTP/HTTPS traffic to the nodes
• Adding extra QlikView Servers in the
Application tier
• Creating QlikView Server cluster or two
separate QlikView Servers
How much Data?
Clustering with Large Data Volumes – 70GB
• Large apparel retailer in the US midwest
• 70GB data
• 5 qvd files, largest is 60GB
• 4 clustered QVS’s
• 3x 64CPU cores, 256GB
• 1x 32 CPU cores, 128GB
Concurrency
Examples of large user scaling – 8000 usersGiant manufacturer, HQ in the US Midwest
Two master QlikView documents in the 500 MB range (on high compression), loads 500
million rows, 300 columns of data and creates 1,800 user documents through QlikView
Publisher during the weekend, with 400 documents run daily, the largest of which is 1.1GB
on disk and contains roughly 40MM rows.
Product Capabilities – The ‘Big 5’
• ✔✔✔✔ Scalability
– Users – Concurrency & Data Volumes
• Security
– Authentication and authorization.
• Integration• Integration
– Data Sources, applications and processes
• Governance & Manageability
– Data, license, application monitoring. Built-in metadata.
Product Capabilities – The ‘Big 5’
• ✔✔✔✔ Scalability
– Users, Data, Concurrency, Applications
• ✔✔✔✔ Security
– Authentication and authorization.
• Integration• Integration
– Data Sources, applications and processes
• Governance & Manageability
– Data, license, application monitoring. Built-in metadata.
QlikView Integration
• Easy integration with: SQL Server, Oracle, any ODBC/OLE source, Excel, XML, Web Services
• Easy integration with: Salesforce.com and SAP Netweaver data sources
Data Source Integration
Web & Application Integration
• SharePoint integration using native ‘WebParts’ technology
• Open and extensible API’s for AJAX and ActiveX environments• Open and extensible API’s for AJAX and ActiveX environments
• Support for iFrame integration
3rd party Systems and Processes
• API’s for management admin control and integration
• External task trigger capability (integration with Tivoli, Control-M etc.)
• Version and Deployment control integration
Product Capabilities – The ‘Big 5’
• ✔✔✔✔ Scalability
– Users, Data, Concurrency, Applications
• ✔✔✔✔ Security
– Authentication and authorization.
• ✔✔✔✔ Integration• ✔✔✔✔ Integration
– Data Sources, applications and processes
• Governance & Manageability
– Data, license, application monitoring. Built-in metadata.
QlikView Governance
• Development best practices, checklist approach, Source Control Integration
• Application workflow: Dev -> Test -> Prod
• Upgrade and Migrations best practices
• Usage patterns: File, Sheet and Object level logging
Application Governance
• Usage patterns: File, Sheet and Object level logging
• Security & Auditing inherent in QlikView
Data Governance
• QVD layer: monitoring, scanning & data lineage
• Source data tracking; QVD size and usage trend analysis
• Metadata: built-in and accessing 3rd party capabilities
• Descriptive, Administrative, Structural
Product Capabilities – The ‘Big 5’
• ✔✔✔✔ Scalability
– Users, Data, Concurrency, Applications
• ✔✔✔✔ Security
– Authentication and authorization.
• ✔✔✔✔ Integration• ✔✔✔✔ Integration
– Data Sources, applications and processes
• ✔✔✔✔ Governance & Manageability
– Data, license, application monitoring. Built-in metadata.
Global Enterprise Deployments
Unique QlikView apps in Life Sciences & Healthcare
Large Enterprise Deployments
Forest Labs GSK Abbott Labs
Finance – Budgeting, Profitability, and Cost Containment
Clinical Excellence
Unique QlikView apps in Manufacturing & High Tech
Unique QlikView app’s in Telecom, Media & Utilities
Customer Base Analysis and Segmentation
Campaign Planning and Penetration Analysis
Sourcing, Procurement, and Inventory Management
Campaign Planning and Penetration Analysis
Unique QlikView apps in
Consumer Products, Retail & Services
Supply Chain / Category / Inventory Analysis
Cost Reduction / Expense Management
Sales / Marketing / Customer Intelligence
Cost Reduction / Expense Management
Unique QlikView apps in Financial Services
Cost Reduction / Expense Management
Risk Management and Regulatory Compliance
Customer Intelligence
Risk Management and Regulatory Compliance
Flexibility at the Edges, Discipline at the Core
QlikView in the Enterprise – website
