ReportsOne

NET1 TECHNOLOGY

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Which technology does ReportsOne use?

ReportsOne uses Online Analytic Support; OLAP (On Line Analytic Processing) technologies to query multiple information in a short time. ReportsOne applications are web-based and does not require installation other than server. When access is granted to company intranets via web browser, the system can be used anywhere on the world.

What, How, When with ReportsOne?

The data recorded in the database of the companies with Netsis Enterprise Resource Planning about the daily operations of the company are transferred to OLAP cubes with ReportsOne application. This transfer is done in certain hours of the day (mostly at night) automatically. During the transfer, the total amount of daily new information, average, and number are defined. This method will provide the total and average values, which are time consuming to compute each time, using the ready-made cubes of the ReportsOne and the data is presented as report, graphic and pivot tables, and drill-down property.

The cubes of the ReportsOne application can be grouped as follows:

  1. (NetPOS) cubes for retail automation,
  2. Analyse cubes for Sales/Purchase operations,
  3. Cubes for finance-accounting-budgeting
  4. Cubes from production motions and information
      1. The NetPOS automation cubes will enable multi-dimensional analyses and transfers correct information on the right time to the user. Standard and easy to access information include; number of sales, average sales price, revenue including VAT, inventory, and balance. The additional information includes;
      2.  Shelf duration,
      3.  The effect of credit cards, bank commissions on the profit,
      4.  Replacement expense,
      5.  Performance evaluations (brand, customer, shop, sales person, product, etc.)
      6.  Square metre profitability (department basis)
      7. Cubes for Sales/Purchase operations;
      8.  Deadline performance of supplying the customer orders, sales person performance, customer performance, geographical distribution,
      9.  Performance of the supplier purchase orders (deadline, amount), planning personnel performance,
      10. Analysis of purchase/sales
      11. Analyses of current accounts of customers and suppliers
      12. Analyses of the inventory, analysis tables, flexible pivot tables, 2D and 3D graphics are presented to the user.
      13. Cubes for finance-accounting-budgeting
      14. Safe, bank accounts, bank credits, current debts and loans, customer cheque and notes (portfolio-payment-security deposit), debt cheque and notes, financial value of special payment are combines to predict the monetary issues of the firm.
      15. The data can be pushed forward without changing the information to calculate the future financial status.
      16. The desired financial records can be exceptions.
      17. The system can analyse financial records, balance sheets, daily wage invoices on the desired level and time interval (year, half-year, quarter, month).
      18. Income and expense budgeting can be made and compared to the real values.
      19. Cubes for production;
      20. Production efficiency analyses, monthly-weekly yield
      21. Activity, station, downtime, malfunction, and worker analysis
      22. Production movement, daily/weekly/monthly goods production report and graphic, raw material inventory, inventory movement report can be obtained and the data can be presented as graphics, instruction panels, and flexible pivot tables.
      23. In all applications;
      24. Comparison between previous year data,
      25. Consolidation information of various companies,
      26. Exporting data from pivot table to excel, html, pdf, rdt, mht, txt
      27. Showing the information on world map and Turkey map
      28. Variable graphic types (2D, 3D, cake, column, line)
      29. Variable x, y, z axis for 3D graphics
      30. Saving graphic as jpg or sending via e-mail.

      Advance authorization/restriction in all applications. Generally, ReportsOne application decreases the responsibilities of high cost information processing units in business intelligence use and enables the employees in each department to perform their own analyses in a fast and effective way.