Metadata and governance might not have a long history of setting hearts ablaze, but those who are recognizing their importance to self-service are looking to metadata to help organizations fully leverage a wide range of assets across the business. In this InsightOut podcast, IBM Analytics CTO Tim
A variety of organizational roles interact with business data, and each role faces its own particular challenges in collaborating with its IT counterparts. In this installment of the InsightOut series, learn more about the responsibilities of these personas, exploring the considerations that govern
Organizations looking to be more data-driven than ever before not only want to pervasively enable analytics across their enterprises, but they also aim to allow for enhanced collaboration and interaction. In this second InsightOut series installment, see how they can face the challenges to
Organizations have a tool to address the multiple challenges faced by their knowledge workers: multispeed information technology. In this podcast, get an overview of multispeed IT and details on how businesses can implement it rapidly and cost-effectively.
Disruptive innovations such as big data, machine learning, cognitive computing and cloud-based services are presenting analytics professionals with rapid transformation that impacts business. As a result, organizations are adopting new best practices for data analysis processes. Dig into this first
Today's banking environment and ever-changing digital technologies require financial institutions to embrace banking customer analytics with a new view: understanding customer behavior in a digital world has immense value.
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Watch the "Why Infrastructure Matters for Big Data & Analytics" webcast
IT infrastructure—it's at the core of everything we do and who we are. Imagine a world without infrastructure: humans would be amorphous blobs, buildings would crumble, cities would be chaos. But, luckily for us, infrastructure does exist and it is the cornerstone of business. However, it's not
Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude
We are in a new era of big data where organizations must leverage modern warehouse technologies (appliances, in-memory) to reduce cost and speed up analytics. "A modernized data warehouse takes advantage of new in-memory capabilities and IBM PureData for Analytics, powered by Netezza and DB2," says