Descriptive, Prescriptive, and Predictive are the three main pillars of Operational Analytics. SmartERP experts work with historical data to forecast future demand, using random variables, descriptive statistics, standard forecasting tools, forecast quality measurements. We work on the optimization models to decide on the future course of action and take production to the next level. Simulation models are built to evaluate complex business decisions and predict their impact using risk and reward measures. SmartERP experts then help you interpret and visualize the simulation and prediction results.

Our team – Data Business Analysts, Data Scientists, and Sales & Operation Research Analysts.

We have been working with our customers on the five main points: helping them integrate data across systems to get a single view of complete operations data; improving data quality by collecting unstructured and streaming data; ingesting external data to enhance insights beyond the organization, spreading across the business domain; making sure the operations data is highly utilized across the enterprise; generated real-time business value by providing data modeling and predictive analytics.From the organization perspective, we can build an analytics workflow and governance model to create an analytics culture. This workflow can be achieved with hybrid data management.

KPIs and Operational Analytics Samples

Production Management – Predictive error detection, productivity assessment, input and output quality management, demand forecasting, capacity modeling, agent performance & incentive design, and more.

Supply Chain and Procurement – Deal negotiations, spend analysis, active supplier management, vendor rationalization and stratification, and more.

Customer Experience – Surveys, complaints, compliments, customer behavioral insights, interactions analysis / sentiment analysis, and more.