VIDEO:
This video featuring the insight of Geoffrey Moore, renowned advisor and author, outlines how enterprises have exhausted their efforts retaining and refining their systems of record, while innovative systems of engagement, such as Facebook, Twitter, YouTube and other means of communication and collaboration, still have plenty of potential to offer.
WEBCAST:
Check out this informative resource to learn what you should consider when choosing architecture for your big data project. Discover the seven top architectural qualities of big data production platforms, and one delivery platform that automates big data workflow for more efficient, effective processing.
WEBCAST:
SAS presents part 2 of their webinar series "Got Bad Data?. In this latest installment, we'll be discussing the Business analytics framework, data quality as a process, data collection, following data flows and uses, data quality and metrics, and continuous learning and improvement.
WEBCAST:
This Webinar explains how by combining the power of SAS® Business Analytics with Microsoft Office you will be able to easily access data from any operational system without IT intervention, automate spreadsheets and PowerPoint decks, and save time and money by reducing redundancy and improving productivity.
VIDEO:
In this brief video, discover how Banca Carige, a leading bank in Italy with over 700 branches, chose and implemented a large-scale data analytics platform in order to enable real-time analytics in all of its locations, improving business performance and individual client services.
TRIAL SOFTWARE:
IBM InfoSphere Data Architect is a collaborative data design solution to help you discover, model, relate, and standardize diverse and distributed data assets. It supports dimensional modeling. This page contains more information about the product and access to a 30-day trial.
WEBCAST:
This webcast, featuring Sr. Analyst, James Kobielus, Forrester Research, addresses what you need to do in order to establish an agile data services infrastructure that leverages your investments in data virtualization, discovery, transformation, quality, governance, publishing, caching, data warehousing and other key infrastructures.
VIDEO:
As the volume and variety of data increases, it becomes harder to ensure trustworthiness, and placing confidence in this information becomes risker. In order to effectively leverage analytics to glean actionable insights from big data, you need to be able to trust that information -- in other words, it must be properly integrated and governed.
WEBCAST:
Tune in to this Webinar to find out how data quality can improve business performance. You’ll learn how to improve key data areas by performing data quality profiling and data collection through closed-loop monitoring, and how to address data quality as a process to derive value and drive continuous improvement.