A majority of companies in the retail, technology, banking, healthcare and lifesciences sectors (92%) are investing in real-time analysis technology for human and machine-generated data, according to a new report from OpsClarity, a provider of intelligent monitoring products for data and streaming applications.
“With new fast data technologies, companies can make real-time decisions about customer intentions and provide instant and highly personalized offers, rather than sending an offline offer in an email a week later,” said Dhruv Jain, CEO and co-founder of OpsClarity. “It also allows companies to almost instantaneously detect fraud and intrusions, rather than waiting to collect all the data and processing it after its too-late.”
The survey, fielded among software developers, architects and DevOps professionals found that 79% of organizations plan to reduce or eliminate investment in batch processing and 44% cite lack of expertise on new data frameworks to analyze data pipeline failures.
“The ability to harness the power of real-time data analysis gives businesses a competitive edge in today’s digital economy by enabling them to become more agile and rapidly innovative,” Dhruv said. “However, as the underlying stream processing data frameworks and applications are relatively new and heterogeneous in nature, end-to-end monitoring and visibility into these fast data applications is critical for organizations to accelerate development and reliably operate their business-critical functions.”
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