Breaking Down Data Silos
Effective communication, both internal and external, is crucial to the success of any business. That is why data silos can pose a significant problem. While silos may be useful for storing grain on a farm, data silos prevent businesses from communica...
Long Live DataSynchronisation
Integration is dead. Long live data synchronisation. Maximise efficiency, reduce costs and decrease churn with data synchronisation! Eliminate the need for complex integration processes and ensure data is always up to date with data synchronisation. Quickly and easily share data between different systems and improve collaboration. Making those systems talk According to Gartner, the average busines...
Data: an Enterprise- Wide Opportunity
This article presents seven trends that will shape data in the near future, one of them being the growth of Cloud-Based Data Infrastructure and Platforms. With the increasing amount of data available, cloud-based data infrastructure solutions are hel...
Data Integration for an evolving future
Data integration is the most important component in leveraging data to achieve enterprise strategic objectives, and the need for an effective data integration framework is at an all-time high. For organizations to successfully leverage data, it needs to be efficiently accessed, combined, governed, and managed- ensuring that the business will not be hamstrung, or worse, tripped up, by limited data ...
Data Integration
- for a connected future
Satya Nadella’s vision, as presented during the 2021 Microsoft Ignite conference, of a distributed computing is a push foreward for a more connected and established future. Data growth is not going to slow down, and network performance isn’t going to...
Best Practices for Data Integration
Data integration is the process wherein the data collected from multiple sources is combined and present in a meaningful form to the users. Among the benefits of a high-quality integration system is time saving, fewer errors and higher Data Quality. Read about the importance of data integration and the key mistakes users make while opting for data integrations: READ THE ARTICLE (5 MIN)
Automating with Data Fabric
The fact that data comes from from different data sources typically implies that they have different data semantics, which makes unifying and integrating these datasets a challenge. The semantic differences across the datasets make it hard to incorpo...
Built-in Integration and other SaaS Trends
As the competition among #SaaS products continues to grow, so do customers' expectations. More SaaS vendors are now providing greater integration capabilities, creating a hybrid system that combines a cloud back-end and on-premises system, as well as eliminating human error and comfortably merging a large variety of platforms. READ THE ARTICLE (6 MIN)