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Self-service BI Keys to Success

October 18, 2012

Analytics Demystified, Dashboards Reporting and Visualizations, Qliktech

Plus an Unbiased Look at QlikView

Many companies – even those who consider themselves successful with BI – have been disappointed with the degree to which their business users have adopted “self-service” BI. Self-service BI is the situation in which business decision-makers are readily accessing, analyzing and reporting on virtually all the information they need -- without regular assistance from the IT group. In this chapter of the Senturus “BI Demystified” series, we discuss the keys to success for self-service BI.

This webinar recording also includes an unbiased, under-the-covers look at QlikView. The goal of the QlikView demo is to provide information sufficient for you to decide for yourself whether QlikView can enable self-service BI in your organization.

Business Context

Slow user adoption of Business Intelligence (BI) solutions and capabilities can delay or even prevent a business from realizing the benefits of putting data access, visualization and discovery in the hands of decision makers and analysts. Multi-purpose tools and an understanding of the keys to success can jump-start that adoption and speed benefits.

Technologies Covered

Self-service BI architecture; QlikView

Recommended Audience

BI Professionals; BI Developers; BI Power Users

Presenters

John Horner, Armanino McKenna, LLP

Our guest speaker is John Horner. John is a renowned expert with 15 years of experience working within the business intelligence and data warehousing industry including five years of hands-on experience with QlikView. John leads the BI Practice at Armanino Consulting, a Senturus Business Partner.

Greg Herrera

Co-Founder and Chairman, Senturus, Inc

Greg originally founded Senturus in 2001. He now heads sales, recruiting, marketing, human resources, and new ventures.

Outline

The keys to Self-Service BI Success are explained in detail with examples:

  1. Organize the data
  2. Don’t build what they ask for; build what they need
  3. Organize the team
  4. Shoot early and often
  5. Attempt one-tool-fits-all, but don’t die by it
  6. Watch your costs

QlikView Utilization with and without other enterprise data sources (warehouses and marts)

Multi-purpose tool:

  • Data Staging (ETL tool)
  • Data Integration
  • Data Warehousing
  • Data Provisioning
  • Metadata services
  • Visualization and Presentation

 QlikView Functional Demonstration – Developers Actions and View

  1. Main
  2. Connect
  3. Extract
  4. Provision
  5. Calendar
  6. Cleanup
  7. Script Save

QlikView Functional Demonstration – Server Deployment and End User’s View

  • Dashboarding
  • Ad hoc Search and Analysis: Data discovery
  • Filtering
Q&A

Topics

QlikView volume issues and constraints