The era of big data is the era of messy data. This is the big data paradox: larger volumes and variety of new sources are inherently complex, and that complexity can actually lower confidence. Organizations have created an entire role to raise confidence in big data: the chief data officer.
Big data and analytics today greatly helps any industry in leveraging the power of realizing greater insights from the constant and overflowing influx of data, be that data-at-rest or data-in-motion. This data, although complexly unstructured and in abundant, when subjected to the right Analytics
Without a doubt, data integration is essential to the success of big data projects. However, some folks in the big data vendor community, including data warehouse, Hadoop and data integration vendors, are telling a very confusing story about the fitness of Hadoop as a data integration platform.
On January 9, 2014 IBM announced that it was forming a new organization (the Watson Group) and investing a billion dollars ($1B!) in future Watson development. The company also announced three new Watson cloud services—The Watson Discovery Advisor, Watson Analytics and IBM Watson Explorer—as well
Big data has changed the IT landscape. Integration and governance must evolve and become more agile to handle the challenges of big data. IBM's latest innovations in integration and governance deliver context for big data, provide agile governance with automatic protection of big data and ingest
Successful organizations strike a balance between control and speed, moving quickly to explore and analyze big data, but also applying enough controls to avoid missteps with agile integration and governance. Are you confident in the analytic insights that drive your business?
Are you confident in the analytic insights that drive your business? Do you trust big data? Can you protect it? IBM can help with new innovative information integration and governance (IIG) capabilities to build confidence in big data.
When an organization sets out to become more customer-centric, lots of changes have to happen. Employees—from senior executives to the frontline—must change and adopt new behaviors and mindsets. Processes and technologies must change to reflect the company’s customer-centric desires. Large-scale
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. Without confidence in your ability to deploy new big data technology and the skills to exploit it, you might defer on big data projects.
Sean Murphy, senior scientist, Johns Hopkins University Applied Physics Laboratory, is this week's Big Data & Analytics Hero. This recognition program was created by IBM to acknowledge and highlight big data and analytics industry thought leaders.
How have big data and analytics impacted how
The amount of data created is growing rapidly and it is expected that in 2020 we will create a minimum of 40 trillion gigabytes; 40 percent of all this data is expected to come from sensors or machine-to-machine data. All of this data will significantly impact global industries, from creating
Viktor Mayer-Schönberger, professor of internet governance and regulation at the University of Oxford—and this week's Big Data & Analytics Hero—believes that big data and analytics will change the way we learn. Big Data & Analytics Heroes is a recognition program created by IBM to
In today’s increasingly connected world, machine data analysis is becoming a business imperative. While managing it may be challenging, opportunities abound across multiple industries for those who can tackle this complex data.
"Don't we already have a data warehouse solution?"
"Is big data even relevant to our organization?"
"Why do we need it?"
"Isn't big data costly and hard to implement?"
There is an obvious disconnect between the C-Suite and big data initiatives. Given today’s competitive market it’s hard to