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Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

Smart Data Collective

Big data technology used to be a luxury for small business owners. In 2023, big data Is no longer a luxury. One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology. However, there are even more important benefits of using big data during a bad economy.

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Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. Demand from all these organizations lead to yet more data and analytics. With data comes quality issues. Everything Changes.

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IT budget shock: Global IT services firms continue to struggle

CIO Business Intelligence

The global IT services industry is at a significant crossroads, with the explosive growth of generative AI and deepening economic uncertainties reshaping its future. Tata Consultancy Services experienced its slowest profit growth since 2020 in the December quarter, and Infosys failed to meet its quarterly profit expectations.

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The top 7 FP&A trends for 2023

Jedox

In times of uncertainty and change, technology can drive our ability to adapt quickly. Integrated business planning (IBP) is the next generation of decisive planning, with technology-driven cross-functional collaboration at its core. Integrated business planning creates more meaningful collaboration. Technology is a talent magnet.

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Surviving Radical Disruption with Data Intelligence

erwin

It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone. Where is the data?

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This is the easiest AI strategy decision you’ll ever make

CIO Business Intelligence

But we don’t necessarily see this with AI-driven models, in which the return on scale can continue to climb to previously unheard-of levels. It will be driven by the fierce pace of evolution of best-of-breed technology like the Apache open-source data ecosystem. Whatever you conclude won’t actually matter.

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How to Move from Real-Time Data to Real-Time Decisions

CIO Business Intelligence

Hubbard defines measurement as: “A quantitatively expressed reduction of uncertainty based on one or more observations.”. This acknowledges that the purpose of measurement is to reduce uncertainty. And the purpose of reducing uncertainty is to make better decisions. I call this point data saturation.