Business Process Optimization

The value of enterprise-level AI depends on what an organization’s people do with it.

Answering still more questions from our recent webinar, “Analytics as a Source of Business Innovation.”

We answer more questions from our recent webinar, “Analytics as a Source of Business Innovation.”

Closely observing how work is done in your business can yield many opportunities for improvements.

There’s value in looking at good processes to figure out what works.

Understanding these five myths will give you a more realistic view of digital transformation.

Managers should start incorporating AI into business processes now.

The ability to monetize data — not hoard it — can offer competitive advantage in the digital economy.

Getting value-chain partners on board is essential for innovation and e-business success.

While humans may be ahead of computers in the ability to create strategy today, we shouldn’t be complacent about our dominance.

Putting data and analytics to work hasn’t just helped Ford more competitive — it has transformed the company’s processes.

This week: using mobile to reduce supply chain risk; reengineering with machines; a data science primer for execs.

A poll of Fortune 1000 executives shows that obtaining insights rapidly is the true value of Big Data.

The Internet of Things is on the brink of transforming business, but most businesses aren’t yet prepared.

Big Data approaches developed by new economy firms are being adopted by mainstream corporations.

If there are quality problems with your data, there are ways to clean it up — but it’s often more efficient to refactor your processes to prevent “smelly” data.

Airline Cathay Pacific incorporates data into all its operations to make decision making more efficient. But experience counts, too.

Sustainability reporting isn’t about being eco-friendly — it’s about managing business risks.

What do you do when you’ve got an unending stream of quality data, and processes in place for analytics… but you’re not sure what to do with it all?

Analytics acts as an amplifier for business processes — but companies should keep four principles in mind to avoid increasing “noise.”