Global Data Management in the Cloud

tdwi.org

Organizations that operate worldwide typically need to manage data both locally and globally. Local business units and subsidiaries must address region-specific data and accounting standards, regulations, customer requirements, and market drivers. At the same time, corporate headquarters must share data broadly and maintain a complete view of performance for the entire enterprise. For many global firms, data is the business. They need state-of-the-art data management just to remain innovative and competitive. Hence, multinational businesses face a long list of new business and technical requirements for modern data management.
Watch Now

Spotlight

In this report, Mu Sigma summarizes the key findings it uncovered when surveying 150 key decision makers across multiple industries. We looked beyond the numbers to identify commonalities in how these enterprise organizations approach analytics and decision science to solve their most critical problems.

OTHER ON-DEMAND WEBINARS

How to Gain a Crisis Advantage with Real-Time Information

To reduce the impact of an unfolding crisis, companies need a clear, accurate and early line of sight into emerging risks. Leaders can then act with confidence and seize opportunities to preserve brand reputation while driving operational excellence. To demonstrate how real-time information can help companies gain advanced warn
Watch Now

Addressing Big Data Challenge Hadoop way

Xoriant Corporation

Are you unsure of how to leverage Big Data and select among the many technologies surrounding it? Don't worry - you aren't alone. Here and watch this video to know how you can address the Big Data challenges using Hadoop.
Watch Now

The Modern Toolkit for Process Excellence

info.minitab.com

See in action, using a real-world use case from manufacturing, the latest toolkit for Process Excellence, powerful analytics and machine learning.How to use the Minitab toolkit to manage projects and analyse data following the Lean Six Sigma DMAIC structured approach.Discover how to power and digitalise your improvement projects and data analysis with best practice methods combined with intuitive tools.Explore how to solve problems and suggest innovations with whatever data you currently have available.Includes helpful examples of the capabilities and uses for Minitab Statistical Software, Companion by Minitab for project execution and tracking Continuous Improvement, and Salford Predictive Modeler Software for predictive analytics and machine learning.
Watch Now

10 Enterprise Analytics Trends to Watch in 2019

MicroStrategy

By 2025, IDC predicts the global datasphere will grow from 33 zettabytes currently to 175 zettabytes, with the majority of this data being managed and created by enterprise organizations. How will businesses make the most of all of this data? Watch this on-demand webcast to hear the trends that will drive both future success and disruption from today’s top thought leaders including: Ronald van Loon. Forrester’s Mike Gualtieri. Constellation Research’s Ray Wang and Doug Henschen.
Watch Now

Spotlight

In this report, Mu Sigma summarizes the key findings it uncovered when surveying 150 key decision makers across multiple industries. We looked beyond the numbers to identify commonalities in how these enterprise organizations approach analytics and decision science to solve their most critical problems.

resources