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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


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


Colin White

The Role of Hadoop in BI and Data Warehousing

Increasing interest in using Hadoop for data management, transformation, and analysis has led to significant development efforts by commercial vendors to enhance and extend the open source Apache Hadoop framework and offer a range of different Hadoop solutions. Many of these solutions can be used to enhance and extend the current BI and data warehousing environment.

Date: September 16, 2014

Time: 9:00AM PT

Colin White


Claudia Imhoff

Five Hot Trends Impacting Your Decision-Making Environment and What You Need to Worry About

Big data analytics, mobile devices, cloud-based solutions, self-service BI, and predictive analytics—the major trends in today’s decision-making environments. Exciting, yes, but incorporating these trends can also be quite disruptive to traditional architectures and the implementers, analysts, and decision makers themselves. Will big data impact your data warehouse and data integration processes?

Date: August 28, 2014

Time: 9:00AM PT

Claudia Imhoff


Fern Halper

Moving Beyond the Spreadsheet for Analytics

TDWI Research shows that spreadsheets are arguably one of the most popular tools used for analysis among business analysts. Although spreadsheets fit the needs of many organizations, they are limited in numerous ways. For instance, it is hard to deal with multiple sources of data, or dirty data, in spreadsheets.

Date: August 14, 2014

Time: 9:00AM PT

Fern Halper


Cindi Howson

Visual Dashboards for Self-Service BI

A picture can paint a thousand numbers and broaden the appeal of BI tools. A fiercely competitive business environment demands more agility and shorter time to insight. These forces have given rise to visual data discovery tools as a new module in the BI portfolio. Specialty BI vendors are growing rapidly and BI platform vendors have rushed to add visual discovery capabilities to their portfolios.

Date: August 13, 2014

Time: 9:00AM PT

Cindi Howson


David Stodder

Choosing Data Visualizations to Satisfy User Requirements

Data visualization is hot, but just giving users a library of visual objects will not make them suddenly more productive with data. It is important to match requirements with the right visualization options. Users need data visualization for a variety of business intelligence and analytics activities.

Date: August 6, 2014

Time: 9:00AM PT

David Stodder


David Stodder

Big Data Analytics for Better Customer Intelligence: Steps to Success

Becoming customer centric is a critical success factor for most organizations. The marketplace rewards those that have the smartest and most responsive customer marketing, sales, service, and engagement. Superior use of data is essential to achieving goals in all of these areas. Leading organizations are separating themselves from the pack by deploying big data analytics, data visualization, analytics platforms, and business intelligence to gain the most insight from customer data generated across all channels, including social media.

Date: July 29, 2014

Time: 9:00AM PT

David Stodder


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