TDWI Webinars

TDWI Webinars deliver unbiased information on pertinent issues in the big data, business intelligence, data warehousing, and analytics industry. Each live Webinar is roughly one hour in length and includes an interactive question-and-answer session following the presentation.


Upcoming

Fern Halper

Analytics at Scale: What You Need to Know

Much of the attention on big data has focused on the infrastructure—data warehouses, Hadoop, appliances—needed to support big data initiatives. However, because data is only useful if you can analyze and act on it, the question becomes: What does it mean to analyze data at scale?

Date: March 11, 2015

Time: 9:00AM PT

Fern Halper


David Loshin

Enabling Business Productivity by Uprooting Data Complexity in the BI/Analytics Environment

Because BI/DW architectures have historically been engineered to maintain the performance of OLTP systems, implementation decisions of the past have forced analysts to sacrifice data accessibility and flexibility in return for reasonable reporting and analytics performance. The reliance on ERP and other operational systems to run the business negatively impacts the agility of the data analyst. Limited data accessibility and increased latency are effectively engineered into the analytics environment, creating complexities that preclude the rapid discovery of actionable insights.

Date: March 12, 2015

Time: 9:00AM PT

David Loshin


TDWI’s Top 10 Trends in BI and Analytics for 2015: Setting Your Technology Strategy

Organizations of all shapes and sizes today are focused on how they can realize higher value from data. With insights from business intelligence (BI) and analytics, firms can improve customer experiences, make smarter decisions about how to allocate resources, and develop strategies to improve business performance. Technologies and practices for getting the most out of data with BI and analytics are changing rapidly, however, so organizations cannot stand still. You need to stay abreast of the changes.

Date: March 19, 2015

Time: 9:00AM PT

Fern Halper, David Stodder


Colin White

Is Hadoop-as-a-Service the Right Choice for Your Business?

As the volume and business uses of data continue to expand, there is growing interest in leveraging cloud computing for data warehouse and business analytics projects. Responding to this interest, both established and new vendors are offering cloud-based Hadoop services for blending, managing, and processing large volumes of both traditional and new sources of data.

Date: March 24, 2015

Time: 9:00AM PT

Colin White


David Loshin

Leveraging ERP Data for Near-Real-Time Analytics

Enterprise resource planning (ERP) systems have become commonplace at organizations seeking to optimize business performance measures. While ERP promises to streamline business processes, some hurdles must be overcome to optimally leverage data from ERP environments for business intelligence, let alone predictive analytics and operational intelligence. And as many enterprises juggle multiple ERP systems, some of the most critical issues include the pain of integrating non-ERP system data, and the complexity of balancing the ERP environment with reporting and analysis, which results in limited flexibility to make changes and incorporate other BI/analytic tools.

Date: April 9, 2015

Time: 9:00AM PT

David Loshin


Philip Russom

Hadoop for the Enterprise

Hadoop initially proved its worth as a Spartan but highly scalable data platform for reporting and analytics in Internet firms and similar digital organizations. Its journey is now taking Hadoop into a wider range of industries, use cases, and organizational types. Hadoop is again challenged to prove its worth, this time by satisfying the stringent requirements that traditional IT departments and business units demand of their platforms for enterprise data and business applications.

Date: April 14, 2015

Time: 9:00AM PT

Philip Russom


Barry Devlin

The Evolution of Data Warehouse Automation

While the ongoing work of delivering business value through daily decision making still continues through business intelligence and data warehousing efforts, a quiet but conspicuous evolution has occurred in the ease with which these projects proceed. Data warehouse automation (DWA) has spurred that evolution.

Date: April 16, 2015

Time: 9:00AM PT

Barry Devlin