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SECO Case Study

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SECO Case Study

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The hardware flexibility and low total cost of ownership, coupled with the scalability and performance of Pivotal Greenplum Database, position SECO for a future in which Big Data will only grow bigger – enabling this government entity to seamlessly continue to deliver essential data to its user community.

To learn more, visit pivotal.io/big-data/pivotal-greenplum-database.

The hardware flexibility and low total cost of ownership, coupled with the scalability and performance of Pivotal Greenplum Database, position SECO for a future in which Big Data will only grow bigger – enabling this government entity to seamlessly continue to deliver essential data to its user community.

To learn more, visit pivotal.io/big-data/pivotal-greenplum-database.

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SECO Case Study

  1. 1. The amended Unemployment Insurance Act (AVIG) marked the beginning of new era for the unemployment insurance business in Switzerland, Instead of passively managing unemployment statistics, the Swiss government is now executing a proactive labor market policy. The new principle of “reintegration before retirement” aims at a lasting reintegration of jobseekers into the labor market. Up-to-date information and flexible analysis options are required for statistical observations, which are used for various purposes, such as short-term economic indicators or for controlling the correct execution of the Unemployment Insurance Act. At the same time, it must be possible to fine-tune analyses to the relevant question in every case. For this purpose, the Labor Market Statistics – a department of the Swiss State Secretariat for Economic Affairs (SECO) – had been operating a business intelligence system based on a traditional data warehouse. Among the approximately 900 users are responsible federal offices, the employees of 120 regional offices (RAV) of the national employment service in the 26 Swiss cantons and more than 40 unemployment insurance funds. The result: A complex and heterogeneous user community with various requirements, reflecting the federal system of Switzerland. CHALLENGE Managing Performance Problems Due to increasing requirements regarding labor market statistics, SECO initiated the LAMDA (Labor Market Data Analysis) project. A number of business intelligence applications were implemented for several purposes – for example, the official labor market statistics, the statistics of payments executed by unemployment insurers, the key performance index for regional office executives and an application for public information regarding unemployment. Many of these applications required complex calculations. AT-A-GLANCE Challenges • BI applications required complex calculations • Increasing BI application performance problems • Substantial effort and cost to solve issues Solution • Pivotal Greenplum Database Key Benefits • Greater performance • Improved scalability • Hardware flexibility • Low cost of ownership CASE STUDY Swiss State Secretariat for Economic Affairs DELIVERING HIGH PERFORMANCE WITH A COST-EFFECTIVE MODEL OVERVIEW “ We experienced massive front end performance increases with Pivotal Greenplum Database. Even in case of complex queries, the results are displayed quickly.” — Dr. Elmar Benelli, Data Warehouse LAMDA Manager, Swiss State Secretariat for Economic Affairs pivotal.io
  2. 2. 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-354-01/14 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 SWISS STATE SECRETARIAT FOR ECONOMIC AFFAIRS Pivotal 3495 Deer Creek Road Palo Alto, CA 94304 pivotal.io A more complex analysis requires a new infrastructure, as Dr. Elmar Benelli, Data Warehouse LAMDA Manager at SECO, explains, “We experienced increasing performance problems. With the existing infrastructure, such problems would have been manageable only with substantial effort and expenditures. The limiting factors were the physical separation of the database system and the data, as well as the data transport across the network, which is also used by other parties.” SOLUTION Pivotal Greenplum Database Delivers Speed and Flexibility As a new database solution to cover Big Data requirements, Pivotal Greenplum Database replaced the legacy database to handle all Swiss labor market statistics. Pivotal Greenplum Database operates with massively parallel processing (MPP), offers flexible scalability, and can be operated with various hardware platforms. Utilizing Pivotal Greenplum Database, the Swiss State Secretariat for Economic Affairs is now able to provide analyses to the user community faster and with greater flexibility. “The cooperation of the team, comprising SECO employees and partners, as well as Pivotal was excellent,” says Benelli. “Pivotal Engineers stayed in touch constantly, were always available and reliably solved all problems that arose.” BUSINESS BENEFITS Pivotal Greenplum Database delivers the following business benefits to the Swiss State Secretariat for Economic Affairs: Greater Performance “We experienced massive front end performance increases with Pivotal Greenplum Database. Even in case of complex queries, the results are displayed quickly,” Benelli confirms. “Copying of the database now goes extremely quickly,” Benelli adds. “Previously, the preparation of a separate database for test and development purposes, or special analyses with high performance requirements, took the data warehouse team two weeks. With Pivotal Greenplum Database, all it takes is copying, which can be done in 20 minutes.” Low Cost of Ownership “Pivotal Greenplum Database provides the hardware flexibility we needed,” Benelli points out. “It enables operation on low- cost, industry-standard servers that can be easily acquired from the usual government suppliers. So we will remain flexible and independent of a specific hardware provider in the future as well. Other solutions we evaluated included proprietary components that would not allow such flexibility.” CONCLUSION The hardware flexibility and low total cost of ownership, coupled with the scalability and performance of Pivotal Greenplum Database, position SECO for a future in which Big Data will only grow bigger – enabling this government entity to seamlessly continue to deliver essential data to its user community. LEARN MORE To learn more about our products, services and solutions, visit us at pivotal.io. “ Copying of the database now goes extremely quickly. Previously, the preparation of a separate database for test and development purposes, or special analyses with high performance requirements, took the data warehouse team two weeks. With Pivotal Greenplum Database, all it takes is copying, which can be done in 20 minutes.” — Dr. Elmar Benelli, Data Warehouse LAMDA Manager, Swiss State Secretariat for Economic Affairs

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