We know that digital execution (the how) matters.
“You’ve got to start with the customer experience and work backwards to the technology. It starts with what incredible benefits can we give to the customer. Where can we take the customer?”
The state of the art in digital marketing is the integration of social, local, and mobile or mobile marketing automation.
In every corporation, data volume, variety, velocity, and complexity are rapidly increasing. Big data is finally moving from a strategy buzzword to a mainstream execution.
“Half the money I spend on advertising is wasted; the problem is I don’t know which half.” – John Wanamaker, a pioneer in modern advertising
We can say the same of enterprise investment in BI, analytics, and big data.
Engineering the Next Generation of Digital Customer Engagement with Apple Watch
Wearables are already beginning to have a significant role in the consumer and enterprise world, and it could make an even bigger impact than you think.
Digital health and personalized wellness is about to reach escape velocity and transform the way millions of people achieve their health and fitness goals. Self-tracking, quantified self, and personalized notifications
This is truly an exciting time to be in marketing technology (martech) and data-driven marketing. There is a lot of innovation, experimentation and chaos.
The customer lifecycle around acquisition, engagement, commerce and retention is going through a major upheaval. Changing buyer behaviors are forcing companies to adjust
“To satisfy the customer is the mission and purpose of every business.” Peter Drucker’s words are as true today as they were in 1973, when he published Management: Tasks, Responsibilities and Practices.
But recently the gap between big companies and the customers who bought their products and services has grown only wider. The customer might be king, but often as a platitude supported by legacy technology.
Business executives face tough questions every day. Many of these questions don’t always have easy or straightforward answers: Which analytical investments and strategies really increase revenue? What pilots should I run to test data monetization ideas out? What small data or big data monetization strategies should I adopt? At the root of these queries is the one billion dollar question facing organizations everywhere: How do we monetize our data?
More than a few industry experts are bracing themselves for a possible shakeout of Big Data companies in 2013. Many think it’s inevitable. With this potential shadow looming, how do you, as an enterprise customer, prepare for it? And, while you’re at it, what strategies can you adopt to take advantage of the situation?
In the interest of roadmapping Wall Street priorities for this year, we recently met with MDs and leading architects in various banks and financial services firms. What we got from those meetings is an inside look at what kinds of analytics projects these organizations are investing in; they include Anti-Money Laundering (AML) monitoring, trade surveillance, and Know Your Customer (KYC) analytics. The investments around those analytics in 2013 include: