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Upcoming

David Loshin

Big Data Evolution: The Big Data Platform Grows Up

The big data software ecosystem has evolved into a robust framework for developing analytics applications spanning a wide range of complexity. At the same time, big data deployments more commonly center on the platform as an expansion of the corporate file system. The concept of the data lake resonates with enterprises desiring to offload data assets into a common platform for analysis, yet the analyses often remain batch-oriented—summarizations, aggregations, and other ETL-like tasks.

Date: October 28, 2014

Time: 9:00AM PT

David Loshin


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


Fern Halper

The Data-Driven CFO: Increasing Finance’s Contribution to the Bottom Line

Today’s CFOs and their IT counterparts are increasingly expected to “do more with less,” providing value-added analytics while maintaining or reducing Finance and IT spend. Analytic improvement is often complicated by the complexity of fragmented financial systems. In response, leading finance departments are increasingly taking a data-driven approach using a common data warehouse and data governance processes to radically simplify their finance architectures.

Date: November 6, 2014

Time: 9:00AM PT

Fern Halper


Colin White

Data Exploration and Discovery: A New Approach to Business Analytics

Big data and advanced analytics extend the traditional BI environment with new analytics solutions that enhance business decision making and operational efficiency. Examples of solutions include support for new analytics-driven operational applications, analytics accelerators, data transformation hubs, and investigative computing platforms.

Date: November 12, 2014

Time: 9:00AM PT

Colin White


Fern Halper

Telling a Story with Data: Skills for Both Business and Technical Analysts

Data and analytics are becoming more important than ever to businesses. However, the popularity of analytics is a double-edged sword when it comes to communicating results. Analytics professionals often fail to present results in a strong context and in a memorable, repeatable form. Some analysts have already turned to storytelling. Although results are often good, it also becomes clear that storytelling with data is both an art and a science. Its mastery improves with guidance.

Date: November 13, 2014

Time: 9:00AM PT

Fern Halper


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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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