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.
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
It is my privilege to support government sector marketing for IBM. We live in a complex and sometimes dangerous world with growing threats to public safety, national security and the environment. We expect more and more from our governments and at the same time, there are significant economic and
Common themes of many big data success stories are the imperative to analyze data in motion (generated by customers, instrumented devices and sensors), and to combine these newly acquired data with one or more historic data sets. Correlation and predictive analytics help us understand now in
Big data is already being collected by many government organizations— and new data is being generated at rapidly accelerating rates. The ability to perform analytics on big data enables government organizations to improve existing processes and operations, and engage in entirely new types of
Lately, many news outlets have been rehashing some of the same old stories about how our government agencies are drowning in paper, with pictures of Veteran’s Administration file rooms looking like outtakes from the “Hoarders” TV program, complete with sagging floors from the weight of the floor-to
Cyberspace is today’s new battleground and cyber security continues to be a top imperative for both enterprises and governments. Recently, the U.S. Pentagon announced plans to boost their cyber security team amid a string of attacks, including one that wiped out more than 30,000 computers at a