Data Analytics Surges Ahead of Ability to Collect its Information


Over the last two years, 90 per cent of international government agencies have improved their use in regards to data analytics, with a reported widening in the gap of how much data is collected and how much is used for meaningful analytics.

Maturity Levels

In a report conducted recently, 89 per cent of respondents were in agreement that data analytics were the lifeblood of modern government bodies. However, 63 per cent are claiming to be still in the beginning to the middle area of maturity when it comes to data analytics – with 36 per cent grading their agency’s analytics use in creating meaningful information with an A.

All in all, 78 per cent of these respondents admitted that their organization’s amount of data collected is growing at a far faster rate than they can keep up with.

This is pegged down to the lack of available resources in the workforce and talent that can effectively do something with the data collected. 41 per cent of respondents specifically pointed to lack of staffing and expertise as the organization’s biggest challenge for meaningful data usage, with a lack of prioritization from leaders outside of IT, along with poor data quality and the inability of data sharing and information.

Sealing the Gap

To seal the gap and help identify experts in data management and analytics, more and more customers are investing in training opportunities and automation increase to alleviate pressure from overworked IT departments.

The current most respected and important position is the chief data officer, with 74 per cent of respondents declaring their agency gone and 37 per cent listing the occupation as a position wanted in the last two years alone.

As these challenges span across both small to large agencies, the fundamental need for meaningful data remains true – smaller ones lack budget or resources, both technical expertise and culturally.

Agency Struggle

Agencies are struggling on both ends of the scale to see a return on investment in data management and analytics, with the chief benefits being improved security and the least being improved accuracy and effective decision-making. Governments also are using it to look at their hybrid cloud strategy and realising that they are not getting what they expect from it.

The big risk that a lack of meaningful data analytics produces is making agencies inefficient and affecting customer service. The big talking point is data experiences being driven by API-defined and use easy management tools to derive actionable at scale proactive analytics.

For more information on big data analytics and any upcoming data analytics conference, check out the upcoming events from Whitehall Media.