AdDataExpress Services Training Support

AdDataExpress is an intuitive online sales intelligence tool that helps marketers and sales people identify prospects at advertising companies. The value proposition is that AdDataExpress empowers users to prospect more productively and accelerate new business relationships. Acccording to the vendor, AdDataExpress helps users quickly identify and engage the right decision-makers at America’s top national advertisers. The platform provides access to data on advertising, marketing, and agency teams at over 10,000 national brands.

In addition to direct contact details, AdData’s business profiles feature sales intelligence, from target audience demography and ad spending to preferred media environments. The vendor says this allows users to target prospects from unique angles, and, ultimately, build more lucrative opportunity pipelines.

AdDataExpress Features

  • Prospecting for Advertising & Agency Contacts
  • Media Spend (Quarterly Ad Spend by Medium)
  • Preferred Platforms
  • Preferred Demographic Targets

The BI life cycle spans a continuum that begins with large amounts of disparate data and stretches to encompass people, technology, information, analysis, and decision making. The benefits of BI are substantial: new business capabilities for insight, forecasting, planning, agility, and strategy execution.
Realizing benefits is challenging. With many moving parts—infrastructure, technology, data, integration, analytics, applications, metrics, reports, dashboards, scorecards—putting the pieces together in the most effective way is difficult. Learn the basics of BI from end to end, with special attention to two of the most important factors for BI success: planning and collaboration. You are most able to chart a course for BI success when teams and stakeholders share common concepts, use consistent terminology, and contribute collectively to the BI vision.

You Will Learn

  • Meaningful and actionable definitions of BI
  • Effective ways to deliver BI: Web, mobile, desktop, etc.
  • Common kinds of BI reporting: ad hoc, published, enterprise, and operational
  • Performance management principles, including dashboards, scorecards, and KPIs
  • Business analyst principles, including OLAP, analytic modeling, and data visualization
  • Advanced analytics concepts for data mining, predictive analytics, and text analytics
  • Data management practices, including profiling, cleansing, and quality management
  • Data integration practices, including consolidation, virtualization, and data warehousing

Geared To

  • Anyone with a role in BI/DW programs who needs to understand the concepts and the full life cycle of BI
  • BI/DW managers and leaders seeking to increase the value and business impact of a BI program
  • Business andtechnical people who need to work together to implement BI
  • Teams that need to develop a common base of concepts and terminology for BI

Technical resources.

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