Why some Big Data projects fail

While enthusiasm for the use of data is high in the public sector, such projects can often stall or fail. The biggest cause of failure of big data projects is a lack of clear goals, according to an Informatica report.

Officials should set clear objectives and define metrics to prove their project’s value, the report advises. Agencies should also look to automation, rather than manual coding, to make better use of their talent. The report advises on specific requirements and steps for your next big data project. These include:

• Start small and be clear of desired outcomes
• Account for variety and velocity of data
• Ensure trust
• Comply with security and privacy standards

Download the full report to hear more from Informatica on running successful Big Data projects.