MMSinfoTech - Solution

Financial Close

Accuracy and validity in financial reporting are built on repeatable processes and reliable systems. Financial statements provide accountability and maintain the trust of your key stakeholders. Maintaining trust between stakeholders requires producing accurate information within short time periods for all close cycles. High-quality consolidation solutions create value beyond only external reporting and into areas such as internal management reporting, tax reporting, and government regulatory reporting. Companies with impactful close and consolidation processes combine quarterly external reporting requirements with the more granular data needed for tax provisioning and returns, statutory compliance, and internal analysis. High-level reporting, along with tailoring applications to meet the needs of decision makers within finance organizations, can lead to consolidation solutions that are consistent with financial statement data.

  • Streamline Close/Consolidation with pre and post validations
  • Increase insights of FX impacts (cash flow + currency changes)
  • Process automation and data ownership
  • Cash Flow Automation
  • Intercompany Matching, Reconciliation, and Elimination
  • Tax Reporting
  • Statutory, Regulatory and Government Reporting
  • Account Reconciliations

Planning, Budgeting, and Forecasting

The quality of an organization’s financial plan is determined in its ability to analyze facts and variables in a way that is reliable and predictive. Repeating the process of reanalyzing information and realigning goals is imperative to making precise predictions and market strategies. The financial planning process becomes an accurate and reliable tool for strategy-setting and financial measurement. Identifying variables that drive revenue costs, collecting understanding and buy-in from data, and building a solution helps make the planning process reliable for a solution. The most effective planning processes are predictive and iterative, linking strategic and operating plans with regular forecasts and risk/opportunity analysis with the ability to simulate possible outcomes.

  • Improve efficiency and accountability
  • Simplify budgeting/planning/forecasting by using familiar formats like Microsoft excel
  • Predictive Analytics
  • Accomplish:
    • Revenue and COGS planning, budgeting, and forecasting
    • Strategic Planning and Forecasting with Scenario Modeling
    • Workforce and Labor Planning
    • Capital Investment and Project Planning

Profitability and Cost Analysis 

Successful profitability management depends on having detailed insight into data. The driving source behind your profitability, whether it is products, services, markets, or consumers, can be determined by measuring and analyzing results at the granular level. This information allows you to make better informed decisions about what investments are generating the best returns, what investments need to be reassessed, and where to shift your attention to next. Leading companies perform profitability analysis on a global level because they have insight into the factors that are the driving forces behind their profitability. They understand the data in the internal management reporting and focus their efforts in these areas and push for real action.

  • Improves allocation of shared services cost to products and customers
  • Easy Flexible Allocations process defined and owned by business
  • Data Analysis with What-If Profitability and Cost Scenarios
  • Customer and Product Profitability Whale Curve

Sales and Operations Planning (S&OP)

In order to have successful operations planning, the whole picture must be considered, from understanding product demand, operations capabilities, and supply chain capabilities to product fulfilment. This allows you to optimize inventory buffers on each level of the supply chain, allowing for reduced lead times and increased order fill rates. Setting inventory levels based on service levels commitments by customers, groups of customers, SKU or product groups can avoid capacity and material shortages. Successful companies look through multiple scenarios and compare the financial successes and consequences of each scenario to decide which is best for their company. This process allows you to have the right product mix, right level of inventory from raw materials to finished goods and in between, as well as ensuring the desired service level at lowest cost of operation.


  • Reduce lead times
  • Profitably deploy inventory across the enterprise
  • Synchronize material planning, capacity planning, and allocation planning
  • Improve service levels
  • Reduce inventory management costs and obsolete inventory
  • Reduce expediting costs
  • Manage by/co products
  • Optimize safety-stock and raw-material levels

Collaborative Demand Planning

Collaborative Demand Planning is a combination of forecasting algorithms with predicting future demand. It also works to combine internal and external stakeholders within its plans. Without accurate forecasting, sales and inventory can be drastically impacted, Adexa’s goal is to provide accurate forecasting to avoid sales and inventory impact. Collaborative Demand Planning plays a big part in Adexa Predictive Analytics (APA), which includes inventory management strategies and thousands of measures to ensure the most accurate forecast for your future sales and inventory.


  • Improve forecast reliability — even for new products
  • Maintain the right inventory levels for demand peaks and valleys
  • Accurately forecast revenue and corresponding resource requirements
  • Simplify promotion planning and cost/benefit analysis
  • Analyze profitability by channel, product, and geography
  • Maximize spare parts usage and maintenance inventories

Supply Chain Planning 

In order to sustain supply and demand factors throughout the extended supply chain, it is important to have a plan that, within seconds, considers the cause and effect relationships between data points. Organizations can reduce inventories by optimizing all supply chain activities while increasing responsiveness by implementing shorter planning cycles. The supply chain model incorporates manufacturing and assembly locations, suppliers, and transportation to deliver an optimized plan all while reducing lead time. It also includes “what-if” functionality and incremental changes into the plan to make it successful.


  • Create accurate constraint-based plans quickly
  • Reduce excess inventory, overtime, and open work orders
  • Shorten lead times
  • Gain new visibility into production capacity and material usage
  • Accommodate customer-demand changes in a timely manner
  • Simplify allocation planning for equitable inventory distribution
  • Choose the right alternate suppliers 

Narrative Reporting

Narrative reporting provides a consistent and collaborative process to publishing financial and management reports. By combining source data found in the Cloud and your own data, narrative reporting allows multidimensional analysis for authoring into report content. Along with this, there is an emphasis on the collaborative aspect of narrative reporting. Different authors are granted access to different content depending on their roles, making the process of report writing secure while still being collaborative. All the while, report owners will be able to track the whole report process from start to finish. 


  • Collaborate securely across the report process
  • Publish and distribute reports
  • Fulfill regulatory reporting requirements

Enterprise Data Management

Enterprise Data Management application supports managing business changes, including enterprise data governance, change data visualization, and hierarchy management. Enterprise Data Management application supports a process that includes managing application specific viewpoints, supporting collaborative workflows, and building data maps. Changes can also be requested to viewpoints to validate them and analyze them. Request activity can later be browsed to audit changes that were already carried out. Viewpoints can also be used to construct mapping direct to target application dimensions. Mapping keys can then be configured to export data maps. This application also increases collaborative workflow by implementing a submit process and an approval process.

  • Manage changes to enterprise meta data elements
  • Collaborate and co-author in real-time
  • Rationalize differences across business perspectives
  • Distribute changes to downstream applications