Data integration (DI) can help savvy businesses deal with mountains of data originating from many different sources, be it customer transactions, support tickets, supply chain updates, marketing campaigns, or the many streaming platforms (i.e., social media, Slack groups, etc.) being incorporated into business workflows. This data is incredibly valuable and helps businesses keep a finger on the pulse of their audience, but the trouble is, comp...Read More
Delayed decisions cost money, which is why businesses strive to act fast. The trouble is, when research is rushed, decisions about contracts, development, and even sales and support rarely work out as well as they could. That's why real-time data analysis is so powerful. With real-time data analysis, businesses can unlock insights from information they already have, and they can do it in a way that's accurate, fast, and accessible. While bu...Read More
Business Intelligence (BI) might sound like a new concept, but the term was coined over 150 years ago--long before computers. While there was no such thing as data automation or software back then, the definition of BI has remained much the same: It's the use of data to help inform better business decisions. When done right, BI has the power to transform any size of business into an ultra-competitive growth machine. After all, when you have...Read More
Electronic Data Interchange (EDI) allows for the computer-to-computer exchange of data and documents, giving way to automated, paperless processes. We've already discussed how automating data flow is a crucial component in modern data architecture as it enables management and insights at scale. However, data automation is just the tip of the iceberg. As you go down the path to try to automate the flow of data throughout your organization, y...Read More
Having already explored the characteristics of a modern data architecture, it only makes sense that we now dive into the critical aspects of data automation, which goes hand-in-hand with data integration and implementing a successful enterprise data management strategy. The fact is, businesses are generating and storing an ever-increasing amount of data. On one hand, those huge data stores represent priceless insights that can drive growth....Read More
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