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Unit 2: ERP and Related Technology




          The main task of an OLAP is to transform relational or non – relational data into a highly explorable   notes
          structure, which means that data can be broken down into small units to derive meaningful
          information. These explorable structures are commonly called cubes or Power Cubes.




             Notes    Data Warehousing and oLap technology for toyota financial services
             In  Toyota  financial  services,  applications  were  initially  run  on  a  legacy  system  written
             in  COBOL  that  used  the  UNIX  operating  system.  However,  ad  hoc  reporting  was  not
             possible without the help of COBOL programmers. With a large dealer network it was time
             consuming and costly to use the system. Toyota implemented SAP for internal financial
             and accounting system. This was when Eagle Technology Group suggested the use of data
             warehousing. It suggested a data warehousing system using Microsoft SQL Server 7.0. The
             data warehousing system would consolidate, cleanse, and summarize information from
             heterogeneous sources. Apart from this, it would enable users to identify patterns and
             trends that would be useful in decision-making. In this context, Eagle suggested a pilot
             project that would enable Toyota to evaluate the solution.
             After the pilot project was accepted by Toyota, the project was expanded to include other
             business dimensions and modification of the data structure. Eagle focused on designing an
             interface that had minimum installation and training requirements. This was achieved by
             using web browser technology for standard reports and Microsoft Excel for data storage.
             This helped the company in preparing internal reports and in understanding the customer
             base, markets, and stakeholders better. Satisfied with this system, Toyota was planning
             to upgrade to the SQL Server 2000. Upgrading was being undertaken with the view to
             implement extranets, data mining, and financial modeling.
             OLAP is useful to managers, analysts, and executives. It supports multidimensional data
             analysis and makes data access easier and faster. Moreover, the ability to view data in
             different formats makes the system flexible. Apart from answering questions like who and
             what, an OLAP also provides answers to what – if and why.

          fast analysis of shared multidimensional information

          Fast: The system deliver responses to users within five seconds, with the simplest analysis it
          takes one second and very few taking more than 20 seconds.
          Analysis: The system cope with any business logic and statistical analysis. That is relevant for the
          application and make it more usable for each user of the system.
          Shared: The system implements security to maintain confidentiality of important data at different
          levels. Concrete locking is provided at appropriate level where multiple access is needed.

          Multidimensional: The system must provide a multidimensional conceptual view of data with
          multiple hierarchies.
          Information: This is refined data with accuracy. It also includes appropriate information to the
          appropriate user.

          2.14 supply chain management

          Enterprise resource planning software plays a vital role in centralizing transaction data. Supply
          chain management solutions are gaining significance as organizations strive to respond faster
          to market conditions. Gartner provides guidance relating to the selection, implementation and
          management of these technologies.





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