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
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
Security concerns have never been more top of mind for business leaders, consumers and governments. The proliferation of the digital age impacts all aspects of life and is radically changing the way we think about security, in both the cyber and the physical world.
The traditional approach to security is to build and stand on a wall protecting the most valuable enterprise assets. In a big data world, however, threats are rapidly multiiplying, originating across enterprise walls and taking new forms - making them harder to identify and defend against.
When weeks of analysis failed to uncover improper payments, the Big Data Analytics engine did it in 4 hours – and led to a $140 million payoff
This large government agency provides both medical and social benefits to a very large group of beneficiaries. It is responsible for
Government organizations, funded by your tax dollars, require a wide range of physical assets to provide the services that we come to expect from the world's largest national economy.
Let’s start with some numbers.
There are 453,144 vehicles owned by the US federal government
Of those, the
One of the key best practices for successful implementation of a big data analytics solution is to validate the business use case for big data. It will help organization with two important aspects for success:
1. Keeping the scope limited
2. Helping to measure the success of a solution that