OLAP Software Development | Business Intelligence Software Development | Data Mining Software Development
Ayoka is a leading OLAP Software Development , Business Intelligence Software Development and Data Mining Software Development Firm providing eneterprise software development solutions to a variety of Fortune 1000 companies in the US.
OLAP or “On Line Analytical Processing” is a central component of the business intelligence model that incorporates business intelligence software and data mining software as well as other software and database management applications for the purpose of accessing and analyzing critical information about business processes that are crucial for business success.
- Contact us for a complimentary consultation and learn how Ayoka can provide your organization with custom OLAP Software Development , Business Intelligence Software Development and Data Mining Software Development to meet your unique business needs.
- Read our enterprise software development case studies and learn how Ayoka has provided effective, affordable custom software development solutions to various industry verticals.
The OLAP software development approach can quickly provide responses to analytical queries of a dimensional nature and integrate data into databases that are configured to employ a multidimensional data model (e.g. MDX query or data cubes) that allows for extremely complex analysis with rapid execution time. OLAP effectively optimizes the data warehouse for reporting and analysis.
Ayoka is an experienced enetrprise software development company in the development, deployment and management services of OLAP, including Business Intelligence Software development with core competencies in Extraction Transformation Loading (ETL), Relational Reporting of Data and Data Mining Software that assist a variety of industry verticals, such as manufacturing software, distribution and logistics software, and internet marketing.
Business intelligence software development produces business intelligence software that provides comprehensive insights into factors that affect a company’s business, such as metrics on sales, production, CRM and internal operations and processes.
Adoption of OLAP is expected to increase with service oriented architecture (SOA) proving integration and consolidation of corporate databases. Costs are also decreasing with the availability of Open Source software (e.g. Pentaho and the Eclipse Foundation tool called BIRT or Business Intelligence and Reporting Tool), and use of open source databases (e.g. MySQL or Postgre SQL) as open source alternatives to Oracle Application Server or Microsoft SQL Server Integration Services (SSIS). However, both Oracle and Microsoft SQL Server Enterprise Edition remain strong environments for the custom software development and integration of open source business intelligence software and data mining software.
Ayoka custom designs affordable enterprise software applications to meet the unique needs of your business and can integrate them seamlessly with your legacy systems to utilize and improve your existing Web site or other software applications.
Ayoka’s unique business architecture provides your business with highly talented professionals whose experience and expertise in OLAP software development, DSS (Decision Support System), business intelligence software development, data mining software development and warehousing software development, rivals enterprise software development firms like IBM, EDS and i2 while providing the responsiveness and cost savings of the enterprise software developer model.
Ayoka provides custom software development and relational database management systems incorporating:
- Ajax
- Ruby on Rails (ROR)
- Java Platform, Enterprise Edition (formerly J2EE)
- Oracle
- SQL Server
- MySQL
- DB/2
- .NET
- PHP
Ayoka’s custom designed data warehousing software development and data mining software development services allow clients to search large volumes of data for classification, clustering and association characteristics to enhance information retrieval, pattern recognition, statistics and machine learning provided by other rich techniques. The result is a user-friendly architecture that is capable of rendering more granular, manageable data more rapidly and reliably and with lower initial and recurring costs.
Ayoka provides business intelligence software development services and data mining software development solutions that address the unique OLAP software development needs of our clients whether that need is:
- Conversion of existing client server applications to Web based networks
- Development of custom software or software intellectual property
- Upgrade or migration of databases
- Enhancement of existing software applications
- Complete Business Intelligence Solutions
- Network business applications including software, middleware, databases and e-commerce / Web portal systems.
Ayoka is committed to your business’ success and we strive to create partnerships built on mutual trust and respect that will grow as we help your business grow. Contact us today for a complimentary consultation.
Ayoka – The American Alternative to Offshore Software Development
OLAP Software Development | Business Intelligence Software Development | Data Mining Software Development | Ayoka
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Ayoka’s custom designed data warehousing and data mining software services allow clients to search large volumes of data for classification, clustering and association characteristics to enhance information retrieval, pattern recognition, statistics and machine learning provided by other rich techniques. The result is a user-friendly architecture that is capable of rendering more granular, manageable data more rapidly and reliably and with lower initial and recurring costs.
Ayoka’s custom designed data warehousing and data mining software services allow clients to search large volumes of data for classification, clustering and association characteristics to enhance information retrieval, pattern recognition, statistics and machine learning provided by other rich techniques. The result is a user-friendly architecture that is capable of rendering more granular, manageable data more rapidly and reliably and with lower initial and recurring costs.
The OLAP approach can quickly provide responses to analytical queries of a dimensional nature and integrate data into databases that are configured to employ a multidimensional data model (e.g. MDX query or data cubes) that allows for extremely complex analysis with rapid execution time. OLAP effectively optimizes the data warehouse for reporting and analysis.
Adoption of OLAP is expected to increase with service oriented architecture (SOA) proving integration and consolidation of corporate databases. Costs are also decreasing with the availability of Open Source software (e.g. Pentaho and the Eclipse Foundation tool called BIRT or Business Intelligence and Reporting Tool), and use of open source databases (e.g. MySQL or Postgre SQL) as open source alternatives to Oracle Application Server or Microsoft SQL Server Integration Services (SSIS). However, both Oracle and Microsoft SQL Server Enterprise Edition remain strong environments for the development and integration of open source business intelligence software and data mining software.