Some people prefer the destination, but I prefer the journey. Not really the journey, but the anxiety of the journey. Whether during a detour at Starbucks on the long drive to Disneyworld, reading a chapter in the biography of Walt Disney, or my eighth back-to-back viewing of Monster’s Inc., I’m wondering about the next stop, chapter or sequel and ignoring what’s right in front of me. Maybe that’s why I’m constantly tripping. The anxiety of what I’m missing or what’s next is always pushing me ahead of the now.
Source: How the Data-driven CIO Enables Digital Transformation
Despite the promise of big data, most analytics projects suffer from bad data syndrome, the result of tension between CIOs and line of business managers.
Source: Disconnect between CIOs and LOB managers weakens data quality | CIO
In some ways, artificial intelligence – in the form of automated features within popular applications – is already helping us combat info-glut. Those small steps are leading inevitably to a future in which we’ll all rely on AI for daily assistance with mundane tasks.
Source: Can AI solve information overload? | CIO
Almost all business processes suffer from excess complexity and variability, but both are difficult to spot—and even harder to eradicate—without fact-based analytical tools.
Complexity may drive as much as 15 to 30 percent of a large business’s total costs, according to various estimates.¹ In real numbers, if a company spends $1 billion on general and administrative expenses, anywhere from $150 million to $300 million² is incurred as a result of complexity, which encompasses overly complicated and widely variable business processes.
Source: Taming Complexity With Analytics – Deloitte CIO – WSJ