The CIO Reading List: Start with Why

“We don’t want to come to work to build a wall, we want to come to work to build a cathedral.” —Simon Sinek, Start with Why CIOs can’t succeed unless they can communicate. Whether we’re convincing our C-level colleagues to support complex, cross-functional programs, persuading our staff that our strategy will enable their success, or proving... more

DevOps for Data

InformationWeek’s Lisa Morgan just made the call – data specialists need to get some DevOps religion. DevOps, which is attaining almost religious status within many technology-driven organizations, is about one simple yet effective idea: it’s better to have consistent cadence of deliverables moving through the pipeline, versus unpredictable spurts of development. Developers, known to work... more

Finding the ‘Initial Need’ to Deploy an iPaaS

Application landscapes are changing rapidly. Whilst almost every business I talk to has a stable on-premises integration solution to connect core platforms together, many have yet to deploy a solution for the burgeoning number of cloud applications that have sprouted across their business. For those without an iPaaS (Integration Platform as a Service), determining how... more

C-Suite Relationships: The CIO-CISO Partnership

This is the final post in my short series on CIO relationships across the business. Read the overview and the posts on the CEO and CMO dynamics. Believe it or not, IT’s role in the enterprise is not to make other functions happy — even though IT provides technology to help business teams meet their... more

Machine Learning Talent in Short Supply: Opportunity for Some, Crises for Others

Machine learning – a piece of the artificial intelligence constellation – holds a lot of promise for enterprises, enabling programs and algorithms to become ever more intelligent.  However, there’s one problem: even the best-educated humans need more learning before they can understand machine learning. Bob Hayes, a professional data scientist and keen observer of all... more

Not Your Usual Business Rules for Data Quality

Every business rule is a mission statement in miniature. Every good rule says something meaningful about your organization – where you are today, what direction you’re headed, where you want to be. But how do you define your rules? How do you work out their logic, agree on their conditions for success? Most importantly, how... more

Masking Data on the Web (HTTP Masking)

One of the primary problems faced by Enterprises these days is “Data Security”. Below is a hypothetical conversation with a prospective customer who is on the lookout for a Data Masking solution that would work seamlessly as per their needs without amalgamating into their business logic. Customer: Our organization has lots of data and we need... more

Data Monetization: Pie in the Sky?

Over the course of the last year increasingly more clients have been inquiring with us about the topic of “Data Monetization”. In other words, they wanted to learn more about how Informatica enables their ability to “sell” their existing data from operations instead of just archiving them away or deleting them. As you can imagine,... more