Tag Archives: Data Synchronization
A few days ago, I got a text message from a friend telling me that my favorite company’s stock price was suddenly tanking and that I should dump my holding. So I went to the news portal to get a stock quote and see where the stock price happens to be. I found that the stock didn’t move much at all. Thinking that it might’ve been a prank text message, I ignored it. To my dismay, the stock quote I saw was delayed by 20 minutes and the decline wasn’t yet reflected in the news portal. (more…)
Today Informatica announced that Bay & Bay Transportation has used Informatica Cloud Services to achieve a six month project payback on their total Salesforce.com investment and a 900 percent return on their critical data integration project.
Bay & Bay is using the turnkey, on-demand Informatica Cloud Services to provide robust, bi-directional synchronization between its logistics management databases and applications with Salesforce CRM. Using an intuitive web based integration wizard, the company automatically maps source and target fields, configures powerful data transformations, and sets automated synchronization schedules. And being a true multi-tenant cloud-based service, there is no hardware, software, or infrastructure for them to install, manage, or maintain.
The only way for HealthDetail to hold or increase margins was to think differently. The company’s provider directory business supplies accurate and compliant healthcare directories for Medicaid and other health insurers. The problem was that the volume of data coming in and the breadth of different sources it was derived from threatened to overwhelm the existing database. HealthDetail could either invest in dedicated database administration resources, at great expense, or consider a more innovative solution: cloud-based data integration.
The rapid adoption of cloud-based applications, platforms, and infrastructure has resulted in more fragmented data and an increased need to integrate data “in the cloud” with data in on-premise applications and databases. Line of business managers and software as a service (SaaS) administrators need rapid time to value and self service. Meanwhile, the IT organization is tasked with avoiding costly data silos and eliminating untrustworthy point solutions.
Technology vendors like to talk about platforms, because platforms imply a broader footprint both in terms of functional capabilities and in terms of implementation usage. Platforms also sound more “strategic,” even if the practical implications are vague. But the term “platform” can also be simple marketing hype. How do you know when a software “platform” is really a platform? More specifically, do data integration platforms exist now?