In an era where 2.5 quintillion bytes of data emerge daily, discerning what records are needed has become the linchpin of operational efficiency. Why do 43% of business decisions still rely on incomplete data sets? The answer lies in flawed record-keeping strategies that prioritize quantity over contextual relevance.
As global smart meter installations surpass 1.3 billion units, a paradox emerges: while data generation grows exponentially, smart meter data optimization remains elusive. How can utilities transform this deluge of 15-minute interval readings into actionable intelligence?
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