Neubrain’s technology solutions help your organization manage data from multiple data sources, visualize business drivers through real-time performance management, and create forecasts to strategize for the future. We can help you formulate the right business analytics strategy and architecture, implement your solution to extrapolate valuable information from large data sets, and train your staff to effectively use the new tools.
While most modern budgeting software solutions can eliminate the primary spreadsheet challenges associated with data capture and simple aggregation, they typically do not take the next step: enabling the organization to use its data to improve budget decisions and the linkages between budgets and outcomes.
So is budgeting software worth the investment? The answer is yes! Modern budgeting software can combine the benefits of abusiness analytics solutionwith the necessary tools and features to manage the budgeting, forecasting, and performance management processes. You need to know where to look and what to look for. While additional features may be necessary to meet your organization’sspecific budgeting and forecasting needs, we’ve found that the top ten features are becoming must-haves for all organizations looking toget the most significant return on their investments in budgeting process automation.
Here’s what to look for in your budgeting software:
Source data integration and metadata management
“What-if” analysis and re-forecasting
Top-down budget entry and budgeting by exceptions
Business rules modeling
Drill-down and drill-through
Exception reporting and alerting
Self-service analysis and reporting
Extract to Excel or other Office products
1. Source data integration and metadata management
The average budgeting software can easily upload information from an organization’s General Ledger (GL) system, which is used to cut it in the budgeting and planning process. However, now organizations are storing data relevant to the budgeting and forecasting processes inside their Project Management, Billing, e-Commerce, Time & Expense, Customer Relationship Management (CRM), Human Resource Management (HRM), Enterprise Resource Planning (ERP), and other operational systems, which needs to be integrated in addition to the GL data.
A best-in-class budgeting system can easily interface with various ancillary data sources to present and unify all the information decision-makers need to make the best decisions. Additionally, budgeting software that can systematically upload, cleanse and integrate data from several sources saves time and ensures that the most accurate, complete, and up-to-date information is constantly being used.
Metadata is contextual information about business data. Metadata components include data names, definitions, business rules, content (domains), data types, data transformations, degree of cleanliness, and so on.
While each source system may contain information about the same business object (e.g., customer, product, product group), each system may “code” this information differently. To effectively analyze and leverage heterogeneous data in your projections, the budget system needs to be able to manage metadata and the appropriate data linkages and help identify and resolve data discrepancies without hindering productivity or requiring a deep technical skillset.
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