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Project

As the business intelligence helps to make management decisions. Experience of Megapolis Group

Customers: Megalopolis of group of companies

Bulatnikovo; Trade

Product: Qlik Sense
На базе: QlikView.Next

Project date: 2018/04  - 2018/09

What problems arose in Megapolis Group to business intelligence system implementation

  • Discrepancy of data between divisions
  • Irrelevant information
  • Delay in obtaining the necessary report
  • Complexity of collecting of the report from several sources
  • Errors in reports
  • Reports are slowly unloaded
  • Manipulation with data
  • The IT service slowly reacts to need of users
  • It is difficult to understand a set of tables and diagrams
  • Limited access to data
  • Use of non-systemic sources
  • Indistinct methodology of measure calculation
  • Impossibility to make drill down according to the report
  • Processing of BigData is complicated
  • It is difficult to monitor data security
  • It is inconvenient to watch reports from mobile devices
  • It is a lot of analysts and specialists in preparation of reports
  • Existence of two data warehouses (SAP BW and Oracle)

What results were achieved with Qlik

  • Aligned data between divisions
  • Information is always relevant
  • The head independently watches reports and the analytics does not wait
  • High speed of work due to calculations in RAM and analytical storage
  • Reports easily gather from a set of sources (SAP BW, Oracle, Excel)
  • Decrease in errors / human factor
  • There is no manipulation with data
  • Seriously reduced the need for IT to service
  • Gained powerful and evident visual representation of data
  • Analysts can independently construct reports without attraction of IT
  • The quantity of non-systemic sources decreased
  • Transparent access rights restriction and "visibilities"
  • Aligned measure calculation methodology
  • Results can be presented directly in a system
  • Access to analytics from any device and the place 24/7
  • Opening of a possibility of consolidation of data warehouses of SAP BW and Oracle and work with BigData

These presentations "As the business analyst Pisarev Andrey Aleksandrovich of Big Data and BI Day 2020, March, 2020 helps to make management decisions".