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. 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
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