ExecQBit
Data Warehousing for SYSPRO
ExecQBit Features
ExecQBit is a comprehensive data warehousing solution designed specifically for SYSPRO ERP users. With ExecQBit, businesses can easily analyse their transactional data in a dynamic, interactive, and flexible manner.
ExecQBit empowers businesses to harness the full potential of their SYSPRO ERP data by providing a comprehensive and efficient data analysis solution. With its intuitive interface and powerful features, ExecQBit simplifies the analysis process, enabling users to make data-driven decisions easily.
Data Warehouse Service
The Data Warehouse Service is crucial in maintaining an up-to-date and reliable data warehouse. It ensures the data is accurately collected, stored, and organised, enabling seamless analysis.
Client Analysis Component
The Client Analysis Component is the user-facing part of ExecQBit. It provides a user-friendly interface allowing SYSPRO ERP users to access and analyse the data warehouse data. Users can explore and visualise data, identify patterns, generate reports, and gain valuable insights into their business performance through this component.
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Areas of Analysis
- Analyse your sales by multiple dimensions (e.g. Branch/Customer/Stock etc)
- Analyse your sales by multiple value measures (e.g. Quantity/Sales Value/Profit Value etc)
- Analyse your sales by multiple time measures
- Financial Year (YYYY)
- Financial Quarter (YYYY/MM)
- Financial Period (MM)
- Week
- Day
- Compare your current sales against sales in previous years.
- Sales Budget Maintenance
- Build budgets from historical sales data.
- Create multiple slices of budgets (e.g. each Representative maintains their own budget)
- Combine multiple slices of budgets into one global budget.
- Spreadsheet type manipulation of budgets
- Changes to total figures realigns the underlying data that makes up this total in their relative proportions.
- Do global changes to data by identifying which dimensions your changes must apply to (e.g. Increase our selling prices by 5% for the last 6 months of the year but only these product lines).
- Analyse the budgets in the Sales Analysis comparing actuals vs budgets.
- Analyse all inventory movement (e.g. Receipts/Transfers/Sales etc)
- Gives you a stock valuation by any of the dimensions (e.g. Company/Warehouse/Product Class/Stock Code etc)
- Analyse what you’ve got in your Order Book, very similar information to the Sales Analysis.
- Analyse what you’ve got in your Purchase Order book.
- Let this module work out your buying requirements based on business rules that can be defined at a Company level and a Product Class level and at the lowest level the Stock Code.
- Uses algorithms to look at trends and your business rules to give you a suggested order to meet requirements.
- Analyse your debtors to see where you are most exposed.
- Analyse your debtors by multiple dimensions (e.g. Branch, Representative, Customer etc)
- Drill down to the individual transactions that make up the figures.
- Take your structured General Ledger Codes and redefine them into meaningful Analysis dimensions.
- Create your own groups of General Ledger codes.
- Analyse actual figures against historical figures.
General Features Across all areas of analysis
The client analysis is via a OLAP cube which allows you to slice and dice your dimensions on the fly, by allowing you to drag and drop dimensions to a different position in the analysis giving you a different view of the data (e.g. you could look Customer/Stock Code which shows the Customers and what Stock Codes they have been buying from you, and by just switching the two around Stock Code/Customer you get a view of Stock Code and which Customers are buying it).
Create your own groups by taking a dimension and identifying specific elements of that dimension, which makes up your group. (e.g. you might want to analyse how a chain of customer stores is contributing, but each customer store is identified as a customer. Fine take each of those customers and make them part of one group allowing you to now analyse how the chain store is doing from a group perspective).
