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The insurance company Companhia de Seguros Tranquilidade was founded in 1871 and has played a leading role in the Portuguese economy. Its distribution network encompasses 38 corporate stores, more than 78 franchise stores and over 270 agent stores nationwide. The company’s more than 700 employees offer Tranquilidade’s full range of non-life solutions to over 600,000 active clients. CHALLENGE Streamlining Reporting and Analytics To stay ahead of the competition and stimulate business, Companhia de Seguros Tranquilidade needed an alternative to its legacy data architecture. The company was burdened with a complex layered architecture in which the data were stored in SAS files and spread over eight separate data marts of 25 terabytes, each dedicated to a different corporate department. Reporting and analytics could only be handled by highly technical experts. “Our former data architecture was so complicated that only advanced technical profiles were able to understand it and turn the data into any kind of intelligence, even for the most basic kind of querying and reporting,” recalls José Manuel Vera, CIO of Companhia de Seguros Tranquilidade. “Not only did this influence the delivery speed of reporting but it left the door open for mistakes. Worse, the reports that were made were often so intricate that it was nearly impossible for untrained business users to interpret them correctly.” Tranquilidade was struggling with the severe effects of data explosion on their business agility. Not only were they getting close to a point at which their data warehouse would no longer be able to hold all of the fast-growing data, their reporting and analytics processes were continuously increasing in complexity and decreasing in speed, while the delivered documents were getting more difficult to interpret. It was time for a change. AT-A-GLANCE Challenges Complex legacy data architecture Slow reporting process Limited access to data Ineffective analytics Solution Pivotal Greenplum Database Key Benefits Easier access to information Faster queries – reduced from two days to less than one hour Increased reporting – from monthly to daily Leveraging Big Data Reduced costs CASE STUDY Companhia de Seguros Tranquilidade UTILIZING BETTER AND FASTER INTELLIGENCE TO IMPROVE STRATEGIC DECISION MAKING OVERVIEW “ With Pivotal Greenplum Database, the speed at which we now can gain access to information is incomparable to anything I have known before.” — José Manuel Vera, CIO, Companhia de Seguros Tranquilidade pivotal.io

Conpanhia de Seguros Tranquilidade Case Study

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Tranquilidade selected Pivotal Greenplum Database because of its scalable shared-nothing, massively parallel processing (MPP) architecture. Ultimately, Pivotal Greenplum Database enables better decision making which leads to higher productivity and efficiency – saving money and driving profitability. To learn more, visit pivotal.io/big-data/pivotal-greenplum-database

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Page 1: Conpanhia de Seguros Tranquilidade Case Study

The insurance company Companhia de Seguros Tranquilidade was founded in 1871 and has played a leading role in the Portuguese economy. Its distribution network encompasses 38 corporate stores, more than 78 franchise stores and over 270 agent stores nationwide. The company’s more than 700 employees offer Tranquilidade’s full range of non-life solutions to over 600,000 active clients.

CHALLENGE Streamlining Reporting and Analytics

To stay ahead of the competition and stimulate business, Companhia de Seguros Tranquilidade needed an alternative to its legacy data architecture. The company was burdened with a complex layered architecture in which the data were stored in SAS files and spread over eight separate data marts of 25 terabytes, each dedicated to a different corporate department. Reporting and analytics could only be handled by highly technical experts.

“Our former data architecture was so complicated that only advanced technical profiles were able to understand it and turn the data into any kind of intelligence, even for the most basic kind of querying and reporting,” recalls José Manuel Vera, CIO of Companhia de Seguros Tranquilidade. “Not only did this influence the delivery speed of reporting but it left the door open for mistakes. Worse, the reports that were made were often so intricate that it was nearly impossible for untrained business users to interpret them correctly.”

Tranquilidade was struggling with the severe effects of data explosion on their business agility. Not only were they getting close to a point at which their data warehouse would no longer be able to hold all of the fast-growing data, their reporting and analytics processes were continuously increasing in complexity and decreasing in speed, while the delivered documents were getting more difficult to interpret. It was time for a change.

AT-A-GLANCE

Challenges

• Complex legacy data architecture

• Slow reporting process

• Limited access to data

• Ineffective analytics

Solution

• Pivotal Greenplum Database

Key Benefits

• Easier access to information

• Faster queries – reduced from two days to less than one hour

• Increased reporting – from monthly to daily

• Leveraging Big Data

• Reduced costs

CASE STUDY

Companhia de Seguros TranquilidadeUTILIZING BETTER AND FASTER INTELLIGENCE TO IMPROVE STRATEGIC DECISION MAKING

OVERVIEW

“ With Pivotal Greenplum Database, the speed at which we now can gain access to information is incomparable to anything I have known before.”

— José Manuel Vera, CIO, Companhia de Seguros Tranquilidade

pivotal.io

Page 2: Conpanhia de Seguros Tranquilidade Case Study

Pivotal is a registered trademark or trademark of Pivotal Software, Inc. in the United States and other countries. All other trademarks used herein are the property of their respective owners. © Copyright 2014 Pivotal Software, Inc. All rights reserved. This document was originally published in 2012, and is being republished with limited, non-substantive updates in 2014. Published in the USA. PVTL-CS-352-01/14

At Pivotal our mission is to enable customers to build a new class of applications, leveraging big and fast data, and do all of this with the power of cloud independence. Uniting selected technology, people and programs from EMC and VMware, the following products and services are now part of Pivotal: Greenplum, Cloud Foundry, Spring, GemFire and other products from the VMware vFabric Suite, Cetas and Pivotal Labs.

CASE STUDY COMPANHIA DE SEGUROS TRANQUILIDADE

Pivotal 3495 Deer Creek Road Palo Alto, CA 94304 pivotal.io

SOLUTIONPivotal Greenplum Database Handles Massive Data Volume

Tranquilidade selected Pivotal Greenplum Database because of its scalable shared-nothing, massively parallel processing (MPP) architecture. “We strategically opted for this kind of structure because it enables us to scale horizontally and stimulates faster analytics than the more common OLTP anatomy of the solutions of the competition,” Vera explains.

“Fed up with our labyrinth-like data architecture, we were immediately attracted to the crystal-clear model and infrastructure of Pivotal Greenplum Database – that is built to manage, store and support analytics of massive amounts of data,” he continues. “It allows us to consolidate all the raw data into one single data warehouse and have all the separate data marts communicating.”

Even the process of moving the data from the old to the new data architecture of Pivotal Greenplum Database – a very complex and elaborate operation – took much less time than expected.

BUSINESS BENEFITSPivotal Greenplum Database delivers the following business benefits to Tranquilidade:

Easier Access to Information Pivotal Greenplum Database enables department-wide access to the reports, and employees each handle their own queries. In addition, the company’s external partners have near-real-time access to relevant reports.

“There is no point in having powerful tools, if the information is inaccessible to the business users,” Vera says. “The more people who receive the reports and intelligence at the right time, the more we can use this information to inspire successful decisions and follow the right strategies.”

Faster Queries Pivotal Greenplum Database has dramatically increased query speed for the company’s reports. Monthly reports that used to take 48 hours of straight processing now run in less than an hour.

“With Pivotal Greenplum Database, the speed at which we now can gain access to information is incomparable to anything I have known before,” Vera confirms.

Increased Reporting “On the basic level of reporting, we were able to boost the delivery time from a monthly to a daily basis,” explains Vera. “Knowing each day, for example, how many policies we are selling and differentiating between the separate divisions has made a huge difference for the commercial department.”

“As to the less prioritized and more technical reporting, for regulators and internal use, we moved from once a month to once a week,” he adds. “This is the kind of information that, for instance, gives us a much better perception of the contracts we have with companies that work in the claims management segment.”

Leveraging Big Data “One of the main benefits of Pivotal Greenplum Database is that it allows us to move much deeper into analytics and even tap into the goldmine of Big Data,” says Vera. “In addition to asking better questions and organizing more complex ETL processes, we can now take full advantage of predictive analytics.”

Pivotal Greenplum Database facilitates high-performance, parallel import and export of compressed and uncompressed data from Hadoop clusters. “So, not only are our structured data now better structured, we can also integrate them with unstructured data from Hadoop sources, like clickstreams, to extract deeper insight,” Vera notes. “Our direct line insurance company was, for example, able to find out why there was such a discrepancy between the amount of online simulations and actually-concluded contracts and successfully adjust its strategy in the matter.”

CONCLUSIONUltimately, Pivotal Greenplum Database enables better decision making which leads to higher productivity and efficiency – saving money and driving profitability.

“When it comes to basic intelligence, we are now spending a lot less per report – in man-hours and because we are able to do a great many more than before,” Vera concluded. “And, more importantly, the business collaborators now receive all the intelligence they need at the right time, so that they can focus even more efficiently on their core activities and drive revenue.”

LEARN MORETo learn more about our products, services and solutions, visit us at pivotal.io.