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.
VIDEO:
How do we make sense of rapidly growing amounts of business data? IBM is helping CIOs take control of their data and turn it into not just organized information, but actionable intelligence. Access this video to learn more.
WEBCAST:
Access this webcast with insight from Forrester Consulting to understand the impact of leveraging a data integration platform as part of an overall information architecture integration strategy for maximum business impact.
WEBCAST:
In this on-demand webcast, learn about the importance of creating a trusted view of your big data assets and discover how the right tools can help you get there.
WEBCAST:
Explore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.
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.
WEBCAST:
Do you have an existing information quality strategy? While most organizations understand the need for data quality, they still face the challenge of implementing an effective strategy to provide information that aligns to business requirements. Register for this webcast and learn the 4 steps to a successful information quality strategy.
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.
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.
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.
