In my free time I am a firefighter. For better and worse, I help people in need. And it feels like it saves a purpose, it gives a meaning to my life and I feel that I make a difference in people’s lives every time the alarm goes. I now this is a completely different thing, but when I’m then back at my desk helping companies with their data integration needs I often think about how I can contribute to improving my customers’ lives during my workday. I truly believe that data integration does make life easier.
Tags: Data Integration
If you think about it, data is really nothing more than another word for information. Today however, data has become one of the most valuable assets of any company and many would claim that it is changing the face of the world. Data can help companies boost their revenue, build more efficiently, target their audience with personalized ads, or even in some cases find a cure to a disease. The better data a company has, the more successful it is likely to become. This is where data integrity becomes key.
What is data integrity?
Data integrity refers to the accuracy and consistency of data stored in a database, data warehouse, or the like. Data with “integrity” is said to have a complete structure, i.e. all characteristics defining the data must be correct.
Tags: data integrity
Data integration projects are just like in any software implementation projects: so much easier if you get it right the first time. But when you have never tried it before it is difficult to know how to achieve your goals. You might not even know how to get ready nor what questions you need to ask to get there. In this article, I'd like to share some learnings and best practices from many of the cases my team and I have been involved in. I'm confident that it will shortcut your considerations regarding integrating Salesforce with your ERP.
A company can easily have a need for up to 10-20 integrations between different systems. What is the most logical way to make these systems synchronize? How do you perform the best data integration architecture? It could, of course, be appealing just to integrate pretty much all components with each other, but this is not really manageable in the longer run.
I’ve been working on creating a generic reference framework for mid-market companies that want to have a high performing system setup, at the lowest possible cost. How do I go about that? What is the logical approach to it? I have collected advice and best practices in this article. I also explain why a system like the Salesforce Marketing Cloud is not integrated directly into the ERP but via the CRM system.