Survik Software Ltd.

  • " The UI Looks very good & reports are running fast. I appreciate your team's fast responsiveness & development efforts."

    Mr. Ellis L. Marsalis -President, Lightstone Data, Inc.

Two

Partners & Alliances

ActuateBusiness ObjectsMicrosostOracle

Clients

Clients

Survik Software is a global provider of IT and software services. We focus exclusively on maximizing client returns from outsourcing and off-shoring. We have extensive experience in developing and managing complex IT applications in real time as well as in providing high value services.

Our proprietary ISO methodology and strategic partnership with global IT leaders fully complements and strengthens our service spectrum and facilitate us to operate as an enterprise-class solution delivery company. Survik executes projects with the expertise in software engineering, process management, application, architecture design and technology solution that will meet your business objectives and criteria for success. Our solutions aim to provide high value by optimizing cost of ownership of technology investments for customers.

  • " The UI Looks very good & reports are running fast. I appreciate your team's fast responsiveness & development efforts."

    Mr. Ellis L. Marsalis -President, Lightstone Data, Inc.

Our strategy for data mart is a “start small, think big” approach. It typically begins with a specific business need for data, usually in the sales or marketing areas. A business unit manager often sponsors the project and provides the necessary resources and support. The initial data mart contains data for only a single or a limited number of subject areas and draws data from a small number of source systems. Because of its limited scope, a data mart can be developed quickly, at a relatively low cost, and provide a fast return on investment.

If the data mart is successful the project team expands the data mart by adding more subject areas, users, and applications. It is at this point that great care needs to be exercised.

Our approach is appealing because it provides usable data faster, at a lower cost, and with less financial risk. The difficulty, however, is in successfully growing a data mart, integrating new subject areas, data, users, and applications along the way.