It is easy to understand the importance of producing quality products and services and the impact of poor quality on business reputation. If your business does not have adequate quality controls in place, it will lose market share and may even expose the enterprise and its team to legal liability.
Anticipating quality issues and monitoring and managing quality is crucial to business success. Having solid processes in place will optimize resources and budgets and ensure swift and accurate execution of new product rollout, product and service delivery and the consistency and quality of the business offerings.
Businesses work hard to acquire customers and to sustain that customer base and compete in the market of choice but quality issues will negatively impact the business reputation and cause loss of revenue and erosion of the customer base.
Using advanced analytics to identify quality issues will improve production processes, protect the business against liability claims and allow the organization to more easily upgrade products, create new products and services and anticipate issues along the way. Advanced analytics and predictive analysis can be used to achieve these goals in an IT consulting business, in telecommunication, in manufacturing and in many other industries.
Your business can use Augmented Analytics and Predictive Analysis to predict quality issues, monitor and manage quality standards and improve and optimize performance.
Learn More: Quality Control
We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.
- Customer Targeting
- Product and Service Cross-Sell and Upsell
- Demand Planning
- Human Resource Attrition
- Maintenance Management
- Loan Approval
- Marketing Optimization
- Predictive Analytics Using External Data
- Online Target Marketing
- Customer Churn
- Fraud Mitigation
Learn more about Augmented Analytics, its uses, techniques and applications.
Contact Us today and find out how Augmented Analytics can improve quality and decrease the incidence of issues, and improve the consistency of products and services.
Original Post: Predictive Analytics Use Case: Quality Control!