business process automation with analytics

Business Automation with Decision-Making Analytics

Business Process Automation – a ladder to efficient system

– 80% SMEs across multiple industries struggling to automate – do you know why?

The companies which are unperturbed even while facing crisis from all around which includes stiff competition, economic upheavals, and unpredictable consumer behaviours, are considered excellent in decision-making through business automation.

Organizations which are industry leaders, make us realise that their achievements in terms of FY success with consistency are based on the real time integrated data, collected from different functions and departments for effective use.

Although It is a mistake to think that all business crisis can be countered through automation as an standalone solution specially for SMEs. Because the primary concerns for SMEs are unstandardized business processes which are not defined the way it should be to have a positive impact from the automation later on. The other multiple constraints include data storage facilities, data migration from old system to a new system, non-tech driven cultural constraints, and a lack of integrated data processing system for decision analysis.

So analytics to be precise, has potential to transform industries in terms of developing new operational models, exploring new opportunities, structuring cost efficiency, expansion, altering capital allocation, help devising mechanism to enhance the productivity in the complete operation of the supply chain kind of decision making.

But there are challenges in data capturing and storage like the data is growing exponentially, further increasing complexity in terms of its diverse and ever-expanding source of collection due to which multiple applications are required to automatically capture store and analyze it.

Structured data and prudent decision-making

Traditional data warehousing has already lost hope due to its higher cost constraints in terms of hardware and software expenses, even semi and unstructured data were difficult to handle. The further constraint is the changing nature of Technology applications, it’s still like updating, Which makes data management complicated.

Time constraints and lack of experienced manpower making business analytics a nightmare for many organizations.

The challenges mentioned above aggravates the situation of 90% organizations from organised to unorganized sectors alike, due to which they still capture the data separately, store, and finally analyze it manually.

Although technology is implemented but only there where it seems unavoidable and that to in isolation due to which the collected data won’t be as productive as to take crucial business decisions on its own.

But now the consumers can’t be ignored as they are accessing global markets through internet, which has empowered them further to choose from multiple choices based on recommendations and feedback of other consumers.

And companies whether small or big, can’t afford not to be proactive in their R&D activities for tracking the supply demand of their products, consumer’s changing behavior, market patterns, transaction preferences, purchasing habits etc., while timely evaluating decisions which directly or indirectly affect business productivity, persistence and profits.

Capturing operational data will also help build integrated view of the company to device future course of action in product and service design, supply chain management and process integration.

It will further help employees to interpret their performance requirements, and standardize customer interaction at large to build and sustain genuine customer loyalty.

New Operational Models

The organizations will be compelled to shift their product and service offerings to new operational models, require identifying low cost structure opportunities etc. to boost productivity on informed decision making at the core.

The good news is, data analytics have grown from diagnostic level of analysis to predictive as well as prescriptive state of understanding, playing pivotal role in organization’s sustainability, profitability, and it’s future growth.

  • Business automation with analytics bring many advantages like
    • Scalability: Data process systematization makes companies grow and expand quickly
    • Flexibility: Ability to make real time changes
    • Complexity: work becomes user-friendly, which reduces complexity as a result
    • Cost: You can bring competitive advantage through lowering cost
    • Culture: Streamline & develop work culture in the organization

Our IT Consultation for business process re-engineering and automation through “AI-based SaaS” (software as a service) applications cover business process audit, “ERP (enterprise resource planning) Software” BPMS (business process management) Software related consulting, designing, development and implementation.

If you are aware of your technology needs, you can request an immediate product demo below.

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    IT Process Consulting

    • As is analysis
    • Process assessment
    • Value stream mapping
    • Daily work management
    • Process integration and work flow
    • Operations and Supply chain
    • Relationship management planning
    • Lean procurement
    • Production planning
    • Reports and documentation
    • Project management for automation

    Finance Management

    • Fund Forecast Plan
    • Project/Sales Order Costing Monitor
    • Proforma Invoices
    • Sales Order based Invoices
    • Export / BOM based Invoices
    • Credit / Debit notes
    • Over due Invoice Dunning
    • GRN Payment Advice
    • Receivables / Payables
    • Person Wise Expenses
    • One Click Vouchers / Ledgers Cash Book, Bank Book / TBL / PL …

    Inventory Management

    • Customer / Vendor DC
    • FIFO / Batch Wise Inventory
    • Price List Definition
    • Engineering Specification
    • Costing Sheet of BOM
    • Bill of Material (BOM)
    • Stock Id Slip Generation
    • PO / NON PO Based GRN
    • Customer Materials GRN
    • Sub-Contracts GRN

    QA and Inspection

    • Different Inspection Reports
    • Rejection Register
    • FG / SFG Inspection
    • Drawings / Pictures Upload
    • Define Inspection Parameters
    • Incoming Inspection
    • Managing and Monitoring the Inspection

    Production Management

    • Finding Production Issues
    • BOM / FIFO Production Issues
    • Production Entry
    • Production Issues with Reverse Raw Material Deduction
    • In-Process Rejections
    • Maintenance / Machine Service Register
    • Machine wise / Operator wise Productivity

    Customer Relationship Management

    • Purchase Requisition
    • BOM based Purchase Requisition
    • Vendor Quota Register
    • Vendor Quota Comparison
    • Vendor Rate Contracts
    • Purchase Order Management
    • Vendor Quota Based PO
    • Blank PO / Sub Contract PO / Tag PO for Sales
    • Repeat Purchase Orders

    Sales And Marketing

    • Sales Person Visit Register
    • Inquiry Management
    • Quotation Management
    • Sales Order Management
    • Customer Rate Contracts
    • Warranty Register

    Employee Payroll And Performance

    • Incident Register
    • Generating Pay Bill / Pay Slip
    • Attendance Data Entry
    • Employee’s Details Registration
    • Salary Definition
    • Training Register

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    Transforming your business through ITMIGHTY Consulting Framework in which the broader deliverables are IT & ITeS Consulting services for Business Process Automation with analytics, which includes ERP software, BPMS software and SAAS based solutions.

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