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Fern Halper

Moving Analytics to the Cloud: Are You Ready?

TDWI has seen a growing interest in utilizing the cloud for deploying reporting platforms, analytic tools, data warehouses, and other databases—and for good reason. The fluid allocation of resources that is typical of a cloud lends itself to analytic projects, especially those utilizing big data. A number of cloud use cases are emerging.

Date: August 5, 2014

Time: 9:00AM PT

Fern Halper


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


Fern Halper

Making Predictive Analytics Consumable

Predictive analytics is a powerful technology that is rapidly becoming mainstream. It is being used across industries to understand and predict customer behavior, detect fraud, determine outcomes, and much more. An important trend in the market is the move to make the output from predictive analytics more consumable by end users.

Date: August 12, 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


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


Fern Halper

Stream Processing: Streaming Data in Real Time In-Memory

As big data continues to grow bigger and become more diverse and more real-time, forward-looking organizations are looking to manage and analyze this data using advanced analytics in an environment that might include multiple approaches and technologies. For real-time streaming data this could include utilizing technologies that support in-memory processing, where data and mathematical computations are performed in RAM rather than on disk, enabling processing thousands of times faster than data access from disk.

Date: August 21, 2014

Time: 9:00AM PT

Fern Halper


Fern Halper

Cloud BI: Demystifying the Issues

Cloud BI has been positioned as the next evolution in business intelligence because of the advantages it provides in terms of flexibility and elasticity. However, there is still confusion in the market around moving to a cloud model, and cloud BI adoption has been slow, although interest seems to be increasing. For instance, in a recent TDWI survey, a majority of respondents were either already using the cloud or were considering it for BI and analytics.

Date: August 26, 2014

Time: 9:00AM PT

Fern Halper


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