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Upcoming

Philip Russom

Exploring the Benefits of the Modernized Data Warehouse

Traditional data warehouses are becoming even more complex as they strain against the weight of today’s data explosion.

Date: October 8, 2014

Time: 9:00AM PT

Philip Russom


Real-Time Data, BI, and Analytics: Accelerating Business to Leverage Customer Relations, Competitiveness, and Insights

The pace of business continues to accelerate, such that organizations must now react faster and more frequently to customer interactions, service-level agreements, operational commitments, competitive pressures, and other time-sensitive issues. With technologies maturing, organizations must evaluate the options they need for the real-time delivery, access, and analysis of information, if they are to reduce business latency or eliminate it.

Date: October 14, 2014

Time: 9:00AM PT

Philip Russom, Fern Halper, David Stodder


Lyndsay Wise

Developing Better Customer-Facing Analytics

The vast amount of information now available to organizations is spurring a push toward leveraging data to understand customers more completely. Organizations can gain insights from the data they collect, but developing higher retention and better competitive advantage also means providing customers with access to the analytics that apply to them. This is becoming prevalent in vertical markets such as data service providers, education, health care, utilities—the list is endless.

Date: October 15, 2014

Time: 9:00AM PT

Lyndsay Wise


David Stodder

Empowering Business Users with Analytics and Data Discovery

Demand is accelerating across organizations for better and faster access to data. Business executives, managers, and frontline users in operations want the power to move beyond the limits of spreadsheets so they can engage in deeper analysis and use data insights to transform all types of decisions. Newer tools and methods are making it possible for organizations to meet the demands of nontechnical users by enabling them to access, integrate, transform, and visualize data without traditional IT hand-holding.

Date: October 16, 2014

Time: 9:00AM PT

David Stodder


Fern Halper

How Prescriptive Analytics Will Shape the Future

As predictive analytics becomes increasingly mainstream, another form of advanced analytics—prescriptive analytics—is being embraced by organizations that want to turn predictive insight into action. Whereas predictive analytics helps to determine what might happen, prescriptive analytics goes further to either suggest or automatically initiate a subsequent action.

Date: October 23, 2014

Time: 9:00AM PT

Fern Halper


Lyndsay Wise

5 Ways SMBs Are Putting Information to Work

In many ways small and midsize businesses (SMBs) have greater opportunity when using BI. Yes, budgets and resources may be limited, but most SMBs are not as constricted by robust IT infrastructures that control BI access and use like their enterprise counterparts. Consequently, many SMBs are empowered through their BI applications to take advantage of interactive technologies without the limitations of large-scale enterprisewide IT infrastructures.

Date: October 30, 2014

Time: 9:00AM PT

Lyndsay Wise


Gathering BI Requirements

Traditional systems development projects are process driven, and the requirements-gathering activities proceed accordingly. Business intelligence initiatives are data driven, and this requires a different approach to understanding the needs. This Webinar examines three major differences and techniques for getting requirements.

Date: November 5, 2014

Time: 9:00AM PT

Jonathan Geiger


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Webinar Calendar

    Channels by Topic

    • Agile BI »
      Includes:
      • Agile
      • Scoping
      • Principles
      • Iterations
      • Scrum
      • Testing
    • Big Data Analytics »
      Includes:
      • Advanced Analytics
      • Diverse Data Types
      • Massive Volumes
      • Real-time/Streaming
      • Hadoop
      • MapReduce
    • Business Analytics »
      Includes:
      • Advanced Analytics
      • Predictive
      • Customer
      • Spatial
      • Text Mining
      • Big Data
    • Business Intelligence »
      Includes:
      • Agile
      • In-memory
      • Search
      • Real-time
      • SaaS
      • Open source
    • BI Leadership »
      Includes:
      • Latest Trends
      • Technologies
      • Thought Leadership
    • Data Analysis and Design »
      Includes:
      • Business Requirements
      • Metrics
      • KPIs
      • Rules
      • Models
      • Dimensions
      • Testing
    • Data Management »
      Includes:
      • Data Quality
      • Integration
      • Governance
      • Profiling
      • Monitoring
      • ETL
      • CDI
      • Master Data Management
      • Analytic/Operational
    • Data Warehousing »
      Includes:
      • Platforms
      • Architectures
      • Appliances
      • Spreadmarts
      • Databases
      • Services
    • Performance Management »
      Includes:
      • Dashboards, Scorecards
      • Measures
      • Objectives
      • Compliance
      • Profitability
      • Cost Management
    • Program Management »
      Includes:
      • Leadership
      • Planning
      • Team-Building
      • Staffing
      • Scoping
      • Road Maps
      • BPM, CRM, SCM
    • Master Data Management »
      Includes:
      • Business Definitions
      • Sharing
      • Integration
      • ETL, EAI, EII
      • Replication
      • Data Governance

    Sponsorship

    For information about sponsorship contact Denelle Hanlon at dhanlon@tdwi.org or 425-277-9130

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