Data models for developing data warehouses need to evolve for managing and defining data lakes. This first installment of a blog series on charting the data lake introduces the potential role of data models in data lake environments and how they need to take an active role in defining and managing
Data transformation doesn’t have to mean moving data away from its source. Rather, modern approaches to data transformation offer a range of advantages that can help enhance performance while heightening access to data.
IBM Insight at World of Watson 2016 had a lot of worldwide focus on cognitive capabilities and their application in analytics, commerce and security. And yet, the General Data Protection Regulation (GDPR) adopted in 2016 and applicable in 2018, seemed to garner quite a bit of interest among
Historically, Master Data Management (MDM) projects have focused on creating a single view of the truth that can be consumed by business processes. Learn more about how the evolving need to utilize MDM serves as catalyst for a new solution extension offering a managed data preparation and data
Businesses have come to expect that smart rivals wielding digital technologies will disrupt their competitive landscapes. How ready is your organization to be a digital disruptor? Take a look at detailed criteria for assessing your organization’s readiness and the strategic steps you can take to
Censuses have long provided governing authorities with data that helps them make decisions affecting the lives and livelihoods of people everywhere. In modern times, however, companies look for more than just a name when doing business—and that’s where master data comes in. Find out how your
The complexity of multiple data sources contributing to the rising tide of data has executives at many enterprises up at night because of concerns involving risks, regulations and compliance. See why information governance is especially vital in today’s complex ecosystem of voluminous data sources
Over the past two years IBM has been moving in the direction of being a data driven cognitive and cloud company. As part of this transformation, IBM has acquired The Weather Company that provides some of the most accurate weather data to pinpoint the impact of impending weather event to a specific
Data is widely seen as the new source of competitive advantage, driving smarter decisions and helping enterprises outthink their rivals. But opportunities are often missed. Getting the data needed from multiple underlying systems can take far too long for application developers, business analysts
Many of us might be surprised to learn that some of the most familiar brand names around started off with other names. IBM recently renamed IBM DataWorks—its flagship, self-service data preparation offering—to IBM Bluemix Data Connect. Get a glimpse of it in this brief overview, and discover how
The movie Deepwater Horizon that depicts the oil spill disaster of the same name serves as an example of how government agencies and corporations need to collect a lot of data and disseminate information immediately as events quickly unfold. Not only are all parties involved asked for a tremendous
IBM Insight at World of Watson 2016, 24–27 October 2016, at Mandalay Bay in Las Vegas, Nevada, is the only place to be for people who work with data. Take a look at this list of top-ten reasons you wont’ want to miss out on one of the most intriguing and innovative events of the year.
How can we ensure that metadata about all types of data is accurate, available, ubiquitous and universally accessible? Standards are certainly necessary, but we also need a new way to think about how metadata is created, managed and maintained.
Nancy Hensley, director of offering management for IBM Analytics speaks with Rob Thomas, vice president of development for analytics, at IBM, on the subject of business transformation, leading to a discussion of the data maturity curve.
The benefits and pitfalls of different cloud deployment architectures can be intense topics of conversations spanning a wide range of industries. Some discussions foster new approaches to consider, and others make strong arguments as to which approach is well suited for different, industry-specific