The big cloud players — Amazon, Google, IBM, and Microsoft — have all put their machine learning tools at your disposal. But figuring out how much they cost, and how those costs compare, can be a great mystery. In this article we’ll decipher the cost structures of the four biggest cloud players across a variety of scenarios.Read More
Marketing momentum builds over time and brings many benefits —but it also leads to bloated process and wasted budget built on old assumptions. Basic data science techniques offer a solution.Read More
The principle of the Nirvana Fallacy holds that if perfection can’t be attained, why bother trying?
It’s easy to associate this with business cultures that are intolerant of failure or averse to new ideas. But certainty is also demanded from more forgiving organizational cultures. On the face of it, this expectation of certainty seems reasonable. If you are to invest a great deal of time and effort into a particular venture, shouldn’t you be very certain, or at least very close to it?
Successful SME marketers thoroughly understand what it takes to compete: a strong website, content strategy, CRM, and multichannel engagement plan. But as all the tactics stack up, so does the data. It’s harder and harder to know what works and which steps in the customer journey are most important.
This is not a new problem, but it is one that large enterprises have largely solved by investing in big data strategy and analytics platforms.
Whether you’re a regional bank, a community bank, or a credit union, managing your data infrastructure is a tough job. Margins are tight and running legacy systems requires constant vigilance. Finding the time and resources to exploit advancements in big data technology isn’t easy. And there’s so much noise around big data it’s hard to tell where the marketing jargon ends and reality begins, so getting organizational buy-in can be a big challenge.
But community banks don’t have a choice. It’s a matter of survival. National banks are winning the next generation of customers and big data is a big advantage.