Business Automation and Decision-Oriented Digitization
The companies which are unperturbed even while facing stiff technology disruption from all around, are playing through research based data analytics and business automation.
They keep constant watch on business results which happens while catering to the specific niche of the market for its specific products and services.
The results include production capacity utilization, production cost, market consumption, forecasting trends, customer preferences, and competitive change.
All industry leaders across industries successfully deliver the targeted results with consistency because their decisions are based on the real time integrated data which is collected from different functional activities.
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.
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 lake 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.
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.
We are further involved in business process re-engineering and automation through “AI-based SaaS” (software as a service) applications.
We are also involved in “ERP” (enterprise resource planning) software consulting and implementation.
CTTO Turnkey Framework
Transforming your business through ITMIGHTY Consulting Framework in which the broader deliverables are IT Consulting for Process Automation and Digitization for decision-oriented data analytics, cloud computing, data migration and business process management software (BPMS) & SAAS based solutions.