Three mechanisms to detect data changes

In the previous article of our series Data Integration Best Practices, we defined that all problems related to data integration can be essentially broken down into two large categories: The ones that have something to do with technical mechanics and the ones that are connected to business rules. In the second article of this series, we will review one of …

Data integration best practices

The topic of data and application integration has such a wide coverage that there seemingly should be no questions left. And yet every now and then, we come across certain questions both from the IT people and the business users. So, we decided to answer the most frequently asked questions in our new blog series on data integration best practices. …

Data integration solutions and iPaaS

Integration platform as a service – or iPaaS – might be a less familiar term than ETL to data analysts, integration architects and anyone else who needs to move and shape data from source systems to target systems. However, the purpose of this tool is the same of ETL’s – extract, transform and load data. It is just that iPaaS …

Data integration and data analytics at the core

Last week we published the first part of our article on omnichannel, which came as a result out of an interview with Duncan Avis, Customer Enterprise Lead at Global KPMG Connected. We said that according to one of the latest KPMG studies, companies successful at omnichannel are also successful at eight core capabilities which imply connecting the front, middle and back …

omnichannel strategy

Most of the times when you search for omnichannel best practices and how-to’s, you come across dozens and dozens of articles about omnichannel sales, omnichannel marketing, omnichannel experience… which are, no doubt, important topics. But I would argue that they are, metaphorically speaking, merely the end result and not the cause. In other words, it’s not where one should start …