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Leverage DataMatrix Capabilities in the Forward Business Planning

DataMatrix is the result of 8+ Years of strategic focus, research, and development activities carried out to conceptualize the simple yet most effective process to embrace AI in the modern enterprises

The hype around AI has led to exaggerated expectations and vague details. With sufficient understanding of the capabilities of AI — and the best ways to determine how it can serve the organization is by making the best use of the statistical data already available in your enterprise systems — DataMatrix is fully capable of delivering the promise of AI with realistic expectations. 

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You do not need to employ data scientists or learn languages; what you need is an integrated AI platform to automate process from cognitive learning to applying - DataMatrix does exactly the same

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CAPABILITY OVERVIEW

Building Cognitive and Proactive Enterprise

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Explore how Future Budgets and Financial Forecasts are generated Robotically using DataMatrix 

DataMatrix collects general ledger transactions, costing segments, natural accounts from financial systems, and then our machine learning tools consume this data to produce financial and expense trends using time-series and linear regression forecasting models. 

Integrated RPA tools are used to autopilot the process of generating financial forecasts and future budgets robotically using the machine learning patterns and trends recorded. You can configure RPA for the selected expense accounts, costing segments, establishments rules, and schedule future RPA activities.

Transaction Volume Learning, Forecasting and Future Operations Modeling using DataMatrix

Leverage transaction volume-based forecasting driven by the past trends and the factors that are going to influence the future volumes. Different industries deal with different types of transactions and customers but what drives future operation is the volume of transactions and it is the best way to plan future workload and operations.

DataMatrix has specialized tools to understand your past transaction volumes, produce machine learnings, and record trends using different forecasting models. Integrated RPA can forecast future transaction volumes and generate forward operation requirement plans 

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Translate Transaction Volume Forecast into Future Workforce Sizing using DataMatrix

Businesses always struggle to figure out if they have the right size and mix of skills in the organization. How skill demand is going to shape in the future or if the current workforce or skills size is going to meet future operations demand. This is beside the recurring concern and question -  are we overstaffed?

DataMatrix provides an out-of-the-box solution that covers the system's ability to understand past data, machine learning tools working to produce trends, and an integrated RPA to generate future skill requirement plans and forecasts. You can use transaction volume forecast generated by the system as an input and the system can translate this into forward workforce strategy and future skill sizing.

AutoPliot Cost Allocation Process with DataMatrix RPA Capability

Cost allocation is normally part of financial systems where cost is manually allocated to different cost segments at the time of expense booking. While this brings heavy manual work and left to accountants to follow cost allocation rules, the efficiency of the costing system is always questionable. DataMatrix gives you the capability to define all the rules and autopilot this process with an out-of-the-box RPA solution.

DataMatrix capability starts from uploading expenses, setting allocation rules by expenses and costing segments, recognizing establishment where the expense is taking place, and then processing this data to allocate the expenses based on the predefined allocation rules.

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