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XL Analyzer

Commonly,  to determine an opportunity for investment or changing an unfavorable situation in your company  is not related to lack of information, but insufficient data analysis systems to turn the apparently useless info, into useful financial data to make the right choices.

Helping you to make that process easier and to improve your economical results, Cibermaxima offers you XL Analyzer module, the most powerful analysis and reporting tool for Dynamics SL and Microsoft Excel. This tool gives you the ability to build an Excel spreadsheet or preconfigured cubes with data from any Dynamics SL module, which effectively helps you to gain and better understand your business without needing Dynamics SL specific knowledge.

 Provides many types of analysis and inquiries

Processes such as Trial Balance, Annual Balance Sheet, GL Integrity, Detailed General Ledger, Batch Inquiry, Vendor and Customer Analysis, Aged, Open Documents, Dynamic Financial Statements (OLAP or Spreadsheet type), but also Inventory Balances and Analysis, Sales and Profitability Analysis and Project Controller Time Sheets, among many others are provided by XL Analyzer, which allows you to increase your control abilities over your business.

OLAP Control Center
Cibermaxima XL Analyzer comes with preconfigured cubes for General Ledger, Account Receivable, Accounts Payable, Inventory, Order Management, etc so you can easily add additional cubes that will give you the ability to make the right decisions, faster and more accurately, by using OLAP technology and Microsoft Excel Pivot Tables.

Interconnected data
Building an Excel spreadsheet with the Dynamics SL data (which includes formulas, totals, etc), XL Analyzer interconnects information from different types of reports, adding productivity to the accounting department and making the closing process painless.

General Ledger Trees
Cibermaxima XL Analyzer adds four levels (trees) to the account and sub-account. This tree structure is the foundation of building different levels of financial statements, either in an OLAP cube or a spreadsheet, which is very useful since it gives managers and controllers  the ability to easily obtain financial statements at different levels of detail. Therefore, decision makers can perform “what-if” statements with their financial data.