Philosophy

Strategies

We carry out customer projects in the area of Business Intelligence using Microsoft and Oracle products. This process can lead to an expansion of an existing system or an entirely new development. This type of Business Intelligence project also takes on different perspectives, which are segmented into success strategies to ensure a successful project.

The following illustrations display different strategies for the different services we provide.

The overview of strategies for Business Intelligence projects using the MS SQL Server and Oracle (Reporting, OLAP, Data Mining, Data Warehousing)

Business Administration Perspectives

Business Administration Perspectives takes into account those aspects and factors which promote the successful employment of Business Intelligence Solutions as well as the economic and organizational advantages provided by Business Intelligence products and technologies. We focus on these factors to support and provide you with consultation services. You will also profit from our experience with many other Business Intelligence projects.

Business Administrative Perspectives through Business Intelligence Projects with Microsoft SQL Server and Oracle (Reporting, OLAP, Data Mining, Data Warehousing)

Frequently Asked Questions:

• For what purpose should Business Intelligence be created or should the existing solutions simply be extended?
• What advantages do I gain through business process management?
• What technologies are best suited to my planned goals?
• How can I easily implement future upgrades and modifications?
• How do I put my investments in the software to their best use?

The following sections contain concrete aspects of Business Administrative Perspectives:

• Business Administrative Strategy
  • Automation of Reporting: Important or frequently used reports should be automatized regularly from a manual preparation of every individual report or prepared per query (ad hoc). Individual reports should be prepared and simplified through, e.g., the graphic user interface.
  • Explanation and Forecasting: Reports should also offer explanations of past values in order to predict future values.
  • Input of Complex Technologies / Procedures: In addition to easy reporting and simple queries, groupings and Pivot/Matrix descriptions should meet the technical demands of statistical analysis as well as any data-mining procedures brought to the application. In addition, the appropriate procedures for interesting questions are identified so that the correct technologies may be chosen.
• Future Strategy
  • Chances for Growth: New Chances for Growth and Process Development are possible through Business Intelligence Solutions made possible by the company.
  • Extendibility and Customization: The Business Intelligence Software as well as the overall approach of the software should be extendible and customizable to easily meet future requirements.
  • Investment Security: Investment in the software, licenses and services should be dispersed over the long-term according to a planned time period.
  • Sustainability: Reporting, data warehouse and analysis procedures should be sustainable. Extendibility is very important, particularly when requirements change or new ones appear.

Solutions Related Perspectives

Along with the purely technical aspects and general business administrative requirements there are those which are specific to particular projects for Business Intelligence Software.

Solutions Related Perspectives through Business Intelligence Projects with Microsoft SQL Server and Oracle (Reporting, OLAP, Data Mining, Data Warehousing)

The following section contains concrete aspects for Solutions Related Perspectives:

• Analysis-Strategy
  • Reports: There is wide range of options for the creation of reports. It is important to arrive at the correct decision to determine if static or dynamic reports are required or if the user should create the reports through interactive analyses.
  • Statistical Analyses and Data Mining: Business Intelligence not only presents data in reports but also creates extendable technologies like statistical analyses, but primarily data mining. We advise you on which procedures are available, what mathematical parameters they construct and exactly which business software goals can be used for your procedure.
  • Key Performance Indicators: Along with complex reports, diagrams and multi-dimensional analyses it is also helpful to summarize the connections within the Key Performance Indicators. We offer you support to identify and derive Key Performance Indicators into reports or prepare them for other analysis goals.

Technical Perspectives

We carry out customer projects in the areas of Business Intelligence for the oftentimes complex architecture of hardware, server software, databases, and software components like the reports generator, interactive data analysis platforms, visualizations of data mining outcomes and much, much more. That is why there is a series of purely technical factors to consider which influence the actual project and the successful long-term services of the software.

Technical Perspectives through Business Intelligence Projects with Microsoft SQL Server and Oracle (Reporting, OLAP, Data Mining, Data Warehousing)

The following section contains concrete aspects for Technical Perspectives:

• Data Strategy
  • Modeling: The data for data bases, import/export files as well as other data formats have to be technically correct and created so that the model can be updated. It's possible that the data-imaging and data storage requirements could or will have to be taken into consideration. We model the data structuring together with you, integrate the existing concepts and factor in any future changes for possible updates to the model.
  • Transmission: Oftentimes it is necessary to transfer data from one system into an alternative one. The data integration system describes particular software components, for which variations can be created. We present alternatives to you such as how the ETL-process (extraction, transformation, loading) can be built up.
  • Security: Data must either be saved with regards to quality or oftentimes in accordance with the legal standards for several years. As a conceptual safeguard it is important that the data be automatically and regularly secured. We feature an overview about the different variations, which offer various server products to meet all of your technological and business software needs.
  • Back-up and Restore: Any technical difficulties that may appear in the secured data and system parameters and properties must be backed-up and restored in an updated version as soon as possible. This closely depends on data strategy and security.
• Development Strategy
  • Portal: Reports or analysis software can be presented in its own portal. The most common case is to combine a reporting portal with a user rights hierarchy which, like the data itself, can be placed on different reporting levels so that the reports and data are shown only to a previously defined user group.
  • Static / Dynamic / Interactive: Reports can be static or dynamic. Depending on the problem to be solved and audience, there are different reporting types and variations for the configuration of the report. We can present the various alternatives to develop a concept suitable to your needs. This will help you meet the demands of choosing from several different presentation types.
  • Embedding: Reports can be presented in their own software which can then be partly and seamlessly embedded into another system. Embedding is a solution for complex situations or in cases in which reports are only a part of the entire analysis platform. Data mining procedures can also be directly linked to other software that not only presents the results but also for the continued use of analyses or results.

Overview of the Strategies for Business Intelligence Projects

Overview of the Strategies through projects in the area Business Intelligence via MS SQL Server and Oracle (Reporting, OLAP, Data Mining, Data Warehousing)