Self-service BI Keys to Success
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.
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.
Self-service BI architecture; QlikView
BI Professionals; BI Developers; BI Power Users
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.
Co-Founder and Chairman, Senturus, Inc
Greg originally founded Senturus in 2001. He now heads sales, recruiting, marketing, human resources, and new ventures.
The keys to Self-Service BI Success are explained in detail with examples:
- Organize the data
- Don’t build what they ask for; build what they need
- Organize the team
- Shoot early and often
- Attempt one-tool-fits-all, but don’t die by it
- Watch your costs
QlikView Utilization with and without other enterprise data sources (warehouses and marts)
- Data Staging (ETL tool)
- Data Integration
- Data Warehousing
- Data Provisioning
- Metadata services
- Visualization and Presentation
QlikView Functional Demonstration – Developers Actions and View
- Script Save
QlikView Functional Demonstration – Server Deployment and End User’s View
- Ad hoc Search and Analysis: Data discovery
QlikView volume issues and constraints