SQDM shares an article published by the TechTarget portal reporting important developments in infrastructure in the public sector.
The public sector has been a big IT buyer in recent years; however, much of that spending has been on on-premise infrastructure dedicated to big-data. It’s time for an upgrade, says one expert. Government agencies-whether at the federal, state or local level-are big buyers when it comes to IT. Not everyone thinks that these organizations run their budgets efficiently.
“If the government doesn’t reframe how it’s going to manage and maintain what it has, it’s going to continue to spend more than it requires,” says Ashwini Chharia of NTT Data Inc. Efficient use of data analytics infrastructure needs to be at the heart of everything public sector agencies do to improve efficiency, Chharia says. In some cases, this approach is being adopted. The U.S. federal government, for example, has reduced its IT spending in recent years, opting primarily for cloud-hosted data infrastructure systems. These systems carry lower upfront and maintenance costs.
Similarly, some cities have executed targeted investments in analytics. The city of Boston, for example, has implemented several analytics-focused projects to make projects such as street repairs more efficient and to improve emergency response times. Most of the infrastructure is built around APIs connected to pre-built services and partnerships made with the private sector.
However, not all public sector entities are this progressive when it comes to implementing data analytics infrastructure. A projection made by Gartner in June 2016 predicted that government IT spending would remain low for the rest of this year, including spending on analytics and data infrastructure tools. This comes after this spending fell by %5.2 in 2015.
Chharia commented that the last decade has seen public sector agencies make massive investments in on-premise technologies that carry immense management overhead. Additionally, agencies often do not get the full value they could receive as they do not dedicate or have sufficient staff to do so. This has led to a retraction in new spending, locking some agencies into situations where they pay a lot to get potentially valuable data that they do not exploit.
Chharia contrasts this situation with what we are seeing today in leading, technology-driven companies like Uber – which has a data analytics infrastructure built largely on hosted services like Amazon Simple Storage Service. This type of architecture has the advantage of being fast and inexpensive to implement, while the downside is ongoing services. It is this type of infrastructure that Chharia thinks public sector agencies need to adopt if they want to stay relevant in the 21st century.
“Payback can be as simple as survival.” Revenues are declining and efficiency is key to survival. The ability to attract millennials to a city will continue to decline if the jurisdiction does not become more efficient.
Read the full article here.
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