Business Automation with Analytics

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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 thriving under crisis like pandemics, economic upheavals, and unpredictable consumer behaviours, or in stiff competition, are found to be excellent in business decision-making.

The organizations we are talking about, are industry leaders, which achieve success in terms of financial performance, scalability, and exponential growth.

One of the key reasons, identified in multiple studies, for their exceptional success, is because, they are driven by technology transformation, process automation and integrated data-analytics.

Although It is a mistake to think that all business crisis can be countered through automation as an standalone solution for SMEs in India.

Even today, specially for SMEs in India, the primary concern lies in standardization of work, process integration, integrated data storage facilities, data migration from old system to a new system, non-tech driven cultural and skilling constraints.

But we can’t deny that fact that automation in developed countries have helped in evolving new operational models, building cost efficiency, devising mechanism to enhance the operations and supply chain productivity, restructuring capital allocation, further resulting in scalability and sustainable growth.

Integrated 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 IT system audit, “ERP (enterprise resource planning)” BPMS (business process management) related IT consulting, software prototyping, development and implementation support.

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

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—Please choose an option—- Enterprise Resource Planning (ERP)- Compliance Management (CMS)- Business Process Management (BPMS)- Customer Relationship Management (CRM)- Performance Management System (PMS)- Digitization of Business- Prototyping for Software Development

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If you are NOT aware of your technology needs, avail our IT Consulting services for business automation.

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CTTO Turnkey Framework

IT MIGHTY

We at iiConvergence, work with SMEs which struggles in technology transformation.

We deliver it through IT & ITeS Consulting services for Business Process Automation with prototyping, which includes ERP software, CRM, LMS, BPMS software and other SAAS based software implementation and services by our flagship CTTO project turnkey called ITMighty.

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