A better national government means finding improved ways to solve the nation’s challenges. Each agency, tasked with a different mission, must use its allocated budget in the most efficient way possible to have the biggest positive impact on our society. That could mean making more accurate predictions of disease pandemics at the CDC, improving the intelligence collection capabilities at the FBI or better analyzing the effects of global warming at the EPA.
Hitachi Data Systems Federal Blog
In 2015, we saw some spectacular advances and use case adoptions for new data and data management technologies in both private and public sectors, from storage virtualization and software-defined data centers to analytics and BI methodologies.
In 2016, there are a number of data technology trends that I believe will really begin to take hold. Here are my top seven trends where I believe we will see some traction in the new year.
Almost every week there is a heart breaking headline with respect to a terrorist attack that has taken innocent lives. Although at first glance these attacks seem highly planned and the affected governments seem unaware of the activities, we frequently find out later that there was intelligence forewarning of the nefarious actions.
This begs the question... If there is information about these attacks prior to the event, why aren't actions taken to mitigate the attack? This question can be asked of international terrorist activity, and also of local criminal activity that impacts the quality of life for every citizen, in every in city.
Creating safe cities with decreasing public safety budgets and increasing accounts of assault and violent crimes is a challenge. One would think that the vast amount of data coming from a variety of sources, including websites, web search queries, social media chatter, phone and email exchanges, audio and video feeds, closed circuit TVs, gun-sensor cameras, license tag readers, drones, satellite feeds and other surveillance technologies would make the job of solving crimes easier. Instead, the data is there but the challenge is how to leverage it.
Today’s healthcare industry is increasingly driven by technology: from EHRs and digital imaging data that gives clinicians a comprehensive view of patients’ histories to robotics and medical devices that allow for less invasive treatments. These systems provide automation for overall improvement in patient care. All of these technological innovations produce massive amounts of new data, which in turn, spur new innovations that keep moving the healthcare industry into the future.
When I meet with IT executives at federal agencies, invariably they tell me that the number one issue they face is the constant pressure to manage various independent resources as well as drive to the internal customers’ missions. Adding to this challenge is the issue of complexity—properly managing a mix of legacy and new systems and the data travelling between them. Any mistakes in balancing the two can directly affect business operations and, of course, their budgets. These are issues we at Hitachi Data System Federal face in our own day-to-day business, as well.
When I tell people at cocktail parties that I work with “data,” I almost immediately see the look of overwhelm on their faces, and the rows and columns of ones and zeros flying through their minds. Every day we hear IT executives and datacenter administrators saying they are drowning in that data. On the other hand, program managers, department directors, policy analysts and everyone else in government does not see those ones and zeros. They see (or are looking for) the information they need residing in Word documents, spreadsheets and Power Point presentations, videos and audio files. Often their data is compiled in a variety of siloed databases that in a perfect world would all ‘speak’ to each other and make processes more efficient.
This week, we are starting a new blog. Our first post comes from HDS Federal's Chief Technology Officer Christian Heiter, who shares his thoughts about the importance of well organized, managed and analyzed data. Look for more blog posts from our executives in the coming months.
Topics: Big Data