The public sector requires an efficient data analysis infrastructure

SQDM shares an article published by the TechTarget portal relating important news in infrastructure in the public sector.

The public sector has been a major buyer of IT in recent years; however, much of that spending has gone into the 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 execute their budgets efficiently.

“If the government doesn’t reformulate the way it is going to manage and maintain what it has, it is going to continue to spend more than it needs to,” says Ashwini Chharia of NTT Data Inc. The efficient use of data analysis infrastructure needs to be at the center of everything public sector agencies do to improve efficiency, says Chharia.  In some cases, this approach is being adopted.  The U.S. federal government, for example, has reduced its IT spending in recent years, opting mainly for cloud-based hosted data infrastructure systems.  These systems lead to lower initial and maintenance costs.

Similarly, some cities have made targeted investments in analytics.  The city of Boston, for example, has implemented several projects focused on analytics 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 with the private sector.

However, not all public sector entities are this progressive when it comes to implementing data analysis infrastructure.  A Gartner projection made in June 2016 predicted that government spending on IT would remain low for the rest of this year, including spending on analysis and data infrastructure tools. This comes after spending has fallen by 5.2 percent in 2015.

Chharia said that the last decade has seen public sector agencies make massive investments in on-premise technologies that carry immense administrative costs.  In addition, agencies often do not get all the value they could receive because they do not have enough staff to do so.  This has led to a retrenchment in new expenditures, locking some agencies into situations where they pay a lot to obtain potentially valuable data that they do not exploit.

Chharia contrasts this situation with what we are seeing today in leading, technology-based companies such as Uber – which has a data analysis infrastructure built extensively on hosted services such as Amazon Simple Storage Service.  This type of architecture has the advantage of being fast and inexpensive to implement, while the disadvantage is continuous services.  It is this type of infrastructure that Chharia believes public sector agencies need to adopt if they are to remain relevant in the 21st century.

“The retribution can be as simple as survival.  Income is decreasing and efficiency is key to survival. The ability to attract the Millennials to a city will continue to decline if the jurisdiction does not become more efficient.

Read the full article, here.

For years, SQDM -Software Quality Driven Management- has advised a number of companies with professional consulting services on IT strategies.  SQDM is an official business partner of leading manufacturers in the industry including Salesforce, Microsoft, Oracle, AuraPortal and Tibco.

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