AdDataExpress Services Training Support in Lahore Karachi Islamabad Pakistan

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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September 30, 2021