Sabre is a technology solutions provider to the global travel and tourism industry. As part of delivering that service, Sabre has Service Level Agreements with each Airline client. Maintaining accurate records of those SLAs and understanding escalations falls to the IT support team. Madhuri Kollu, at Sabre, will provide insight into how they integrate legacy and new data sources and provide business leaders the tools to derive critical business insights from the data.
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Headquartered in Southlake, Texas, USA, Sabre serves our customers through cutting-edge technology developed in six facilities located across four continents. The company operates three businesses:
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Sabre is a SaaS provider and we have established SLAs that we need to meet with the customers. We have huge financial penalties if the SLAs are not met. Its absolutely vital for Sabre Tech Operations team and their leadership to have clear visibility into the operations data.
Sabre has partnered with HP for the data center management. So all of the legacy operations data is stored in the HP managed systems. In August, 2015 Sabre also implemented Service Now as a new tool to manage the operations.
The data was not integrated between the legacy and the new system. The data formats and the “keys” between the legacy and new system were very different.
The tech operations team did not have a clear unified view of data to make their business decisions or to better support our customers. They had to run different reports in different systems, export data to excel and create their own consolidated view of the data.
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We formed a working committee with the business & tools teams. We engaged the data SMEs and identified the business process. We then mapped the business process to data elements and system of records. We identified the the data objects and the specific attributes we need.
We then started prototyping a solution using the Cloudera/Unifi/QlikView technical stack.
We used Unifi to pull the various data sources into our Cloudera data lake.
We also used Unifi to create a single business view of the data. This let us tie the data coming from various sources into a meaningful business friendly view.
We then deployed this view to the business users.
In addition we created a C-level dashboard that presented a very high level summarized view of this data.