At Zirous we have found that it is critical to understand the business problem and requirements for the project upfront for a successful implementation. In order to do that we like to start our projects with a discovery engagement.
You’re being told to embrace data from every news outlet and blog. This can be easier in some areas of the workforce than others, though. In marketing, you can measure success with tracking of ads…
At Zirous, we certainly value the experience and tenure of our staff. With 53% of staff with over five years at Zirous, 28% over ten years and 12% over twenty years; we have significant tenure. Yet, each year we recruit and hire new or recent graduates.
Agile methodology is great for project execution, but projects will still have problems, and possibly fail, due to contract related challenges. I’ve seen some of these challenges first-hand; how can you anticipate them in order to be successful. Learn how in this post.
Market Basket Analysis gives retailers the opportunity to find correlations of items in shopping carts in order to find strong correlations. Why might a retailer choose MBA to analyze point-of-sale data? Read on for further details on the benefits of using Market Basket Analysis as a retailer.
What would you say if I told you that your marketing and IT departments need to cozy on up together to achieve your goals? Two areas that were black and white in a traditional world are now gray and fuzzy in a digital one. Smart companies are harnessing the power of a modern data architecture (that’s right - Big Data) to gain insights into their customers’ ideas, behaviors, and actions.
If you’ve worked on any Oracle Identity Manager project, you’ve likely come across a common question,“When OIM user attributes change, can I copy their values to one or more target system accounts?” We'll show you a nice shortcut to handle that question in this post!
A web framework is used with most online systems as a way to organize and structure your code. We’ll dive into the definition of web frameworks and their important role in a system.
In this article we will discuss the importance of not filtering out data just because it doesn’t look like any other data we have, and how to quickly leverage multiple sources to derive business insights.
Eating the Elephant - Velocity So far in this series we have introduced the “3 V’s” of Big Data: Volume, Velocity, and Variety, focusing on Volume. Recall that in the introduction we encouraged you to…