TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Take a Dive into the Data Lake

Many organizations have a serious interest in data lakes, at the moment, because of the business analytics and new data-driven practices that lakes promise. Yet, these organizations still aren’t quite ready to take a dive into a data lake. Whether they are unable to define standard structures, align and maintain business meanings, or create a governance strategy, these companies struggle to anticipate what truly lies beneath the surface of the data lake.

Philip Russom, Ph.D.

Sponsored by TDWI and IBM Content

Rethinking Enterprise BI in a Self-Service World: Balancing User Freedom with Enterprise IT Responsibilities

Both product and tech leaders have always recognized that business intelligence (BI) is most valuable when it is pervasive, contextual, and actionable. A new generation of solutions -- embedded BI – provides unprecedented power to weave reporting and analytics into the fabric of apps and business processes.

David Stodder

Sponsored by Information Builders, SAS

Achieving Integration Agility, Scale, and Simplicity via Cloud-Based Integration Platform-as-a-Service

Many firms have mandates to move to clouds, control IT costs, integrate disparate applications, deliver data-driven solutions faster, and provide integration infrastructure for hybrid data ecosystems.

Philip Russom, Ph.D.

Sponsored by Liaison Technologies

Embedded BI: Why It Works and How to Do It

Both product and tech leaders have always recognized that business intelligence (BI) is most valuable when it is pervasive, contextual, and actionable. A new generation of solutions -- embedded BI – provides unprecedented power to weave reporting and analytics into the fabric of apps and business processes.

David Stodder

Sponsored by Qlik®

Ask the Expert About Data Science

TDWI Members Only

The data and analytics landscape is changing. Although many organizations are still analyzing structured data from their data warehouse, TDWI research indicates organizations have increasing interest in analyzing disparate kinds of data. This data is often large in volume and can require modernizing data infrastructures and platforms. The industry around big data and data science and the emerging role of the data scientist is one result of this evolution/revolution.

Fern Halper, Ph.D.

Extending BI and Analytics to the Mobile Workforce

Users of all types are spending more and more time on mobile devices, whether they are business executives, a line-of-business (LOB) managers, retail inventory clerks, or frontline service technicians. While engaged with customers, managing operations, or strategizing about new products, they need access to critical business intelligence (BI) reports and analytics. For an increasing number of organizations, it is now a high priority to extend BI and analytics to the mobile workforce.

David Stodder

Sponsored by MicroStrategy

The Future of IT Management – IT Operations Analytics

IT operations management (ITOM) deals with monitoring and controlling IT infrastructure and services such as networks, servers, and help desk. Today, IT management typically relies on “swivel chair” monitoring between unrelated reactive monitoring tools. However, this is changing. Modern, interrelated IT departments can benefit from a single view across IT to improve root cause analysis and reduce meantime to resolution.

Fern Halper, Ph.D.

Sponsored by SAP