Today’s business landscape is more unpredictable than ever for IT leadership. Between the adoption of more sophisticated technologies and an ever-growing list of digital transformation initiatives, IT operations have become frustratingly complex. This is especially true when it comes to managing data flows and ensuring the precision of analytics insights.
At a time when analytics stands as a vital enabler of business strategy, the volatility, uncertainty, and ambiguity of modern data infrastructure management and engineering has extended time-to-insight, preventing organizations from operating efficiently.