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Correct data just in time at the right place.

The architecture of modern information systems has become ever more complex and individual purpose-oriented modules can no longer produce a complete picture of your company, its results or its trends. Data Warehousing is not only a place to store your valuable and mission critical data, but is also a methodology which - along with the correct technology - will ensure processing and storage of key company data which is:

• accurate
• consistent
• easily obtainable
• uniquely interpretable
• meaningfully aggregated

Besides flexibility and accuracy of data, one of the main advantages of Data Warehousing is the ability to view outputs via so-called dimensions -- i.e. points of view specific to top management or individual company sections. While management may be satisfied with aggregated information showing results of individual company sections, marketing may prefer an overview of the sale of goods profiled by client segments. Each company section requires, for its successful operation, a different view of company data and it is the Data Warehouse which provides such versatility. Data Warehousing is not only a suitable platform for standard reporting but can also fulfill the requirements of analytical research and is an excellent source of information for future trends modeling -- a subject addressed by our Business Intelligence services.

Data Warehousing operations are, of course, fully automated, to provide management with real-time information for flexible and quick reactions to market situations. Such flexibility and speed allow a company to succeed in today's dynamic business environment.

Solutions

Javlin is an end-to-end, solutions-oriented company, encompassing all phases - starting with implementation of data warehousing to support of fully functional applications. The various services required for implementation of Data Warehousing may be ordered individually or in combination to fulfill customer requirements.

• Analysis of obtainable data, company technology environment, support of business analysis and future outputs of data warehouse.
• Design of data warehouse integration to system architekture of our customer to maximize use of existing company technologies and to reduce cost of acquisition of the new ones.
• Design of data warehouse data structures and its individual layers to fulfill user needs - be it management, marketing, sales or other specialised company functions.
• Data cleansing and consolidation focuses on data error correction, record standardization and removal of duplicate information. Cleansed data provide significant improvements in efficiency of company processess and reduce cost of data maintenance.
• ETL processes are standard procedures to fill data warehouse (or its primary layer, so called staging database) with cleansed source data. Source data can be stored in a datbase or in files with a variety of data formats and structure.
• Design and development of the presentation layer, which provides for viewing of the data warehouse content as standard reports to the end users.
• Implementation of OLAP tools providing for specialized analytical functions on the data warehouse content.
• Data profiling - an automatic data quality monitoring with indication of deviations from usual data profile.
• Support of implemented solutions, to guarantee correct data warehousing functionality and timely elimination of operational issues.

Depending upon in-house resources, our experts are also available and ready to assist in the area of project management .

If summarized information is frequently required from data resources in various applications or information systems, we can consolidate your business intelligence structure with a data warehouse solution in order to deliver more reliable customized information faster and at a lower cost to the key decision makers in your organization. Our experience covers all steps of BI - data processing (ETL), data warehouse building, reporting, data-mining and Master Data Management..

ETL tools

• Ab Initio
• IBM Datastage
• Informatica
• Oracle Warehouse Builder

Databases

• Oracle
• Informix
• Teradata
• DB2
• Sybase
• ASA/ASE
• MS SQL server
• MySql
• PostgreSQL

Reporting tools

• Oracle Discoverer
• Jasper Reports