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Operational analytics involves using real-time data to monitor and improve business operations, enabling companies to make more informed decisions.
We are a specialized operational analytics company with experience in deploying insights from business data to improve operational efficiency. We have assisted our clients in improving several internal processes, such as supply chain management, customer service, manufacturing activities, etc.
We assist you in monitoring your business processes with the following operational analytics services:
Detect and respond to anomalies, identify patterns, and trigger automated actions with the help of statistical and quantitative analysis and predictive models.
Use data from connected physical assets like sensors and machine learning algorithms to predict when equipment is likely to fail.
Use statistical process control, simulation modeling, and optimization algorithms to optimize the flow of goods and services throughout the supply chain.
Analyze employee productivity, absenteeism, turnover, and skill set data to identify patterns using workforce simulation and predictive analytics.
Analyze customer complaints and product defect data through Statistical Process Control (SPC), Design of Experiments (DOE), and other methodologies.
Analyze inventory levels, production schedules, and logistics operations to identify patterns and trends for inventory optimization and demand forecasting.
Gain insights into the underlying causes of issues and take action to prevent them from occurring in the future.
Ensure your company's operations comply with relevant laws, regulations, and industry standards and detect and respond to security threats.
Track key performance indicators (KPIs) and benchmarks performance against industry standards by analyzing production, sales, and customer service data.
Connect to and integrate data from multiple sources, such as transactional systems, log files, and IoT devices.
Clean, transform, and normalize data to prepare it for analysis.
Create Interactive dashboards and charts to allow users to easily view and understand complex data.
Implement advanced operational analytics and reporting, such as statistical analysis, forecasting, and machine learning, to gain insights from data.
Set up alerts and notifications to notify users of important events or trends.
Collaborate and share insights and analyses with other organization members.
Ensure the security and governance of data with access controls and lineage tracking.
Handle large amounts of data and support a growing number of users and use cases.
Connect and integrate with other systems, such as ERP, CRM, and other business systems.
Ability to access and interact with the system on mobile devices.
We deploy various operational analytics tools for better solutions. Our services typically utilize the following technology stack.
Improved decision-making with real-time insights into operations
Increased efficiency by identifying process-related bottlenecks
Reduced operational expenses with end-to-end process optimization
Deliver better customer experience with a proper understanding of customer preferences
Increased competitive advantage by analyzing operational data for strategic insights
Improved product quality with accurate insights into product performance
Our data engineering consulting services come packed with the following benefits.
Our services assist you in fine-tuning your business operations by identifying potential issues through real-time insights and predictive modeling.
We help businesses stay competitive by providing AI-driven recommendations to optimize operations, improve performance, and make data-driven decisions.
Our operational data analytics services will enable you to build predictive modeling capabilities to identify evolving market patterns and trends in data.
We help your organization collaborate across teams by providing a centralized data collection and analysis system.
We improve business performance by identifying areas for improvement, tracking progress, and optimizing operations.
We help businesses manage risks through predictions allowing them to anticipate potential risks and disruptions and proactively implement mitigation strategies.
We have tapped into operational data to unlock business value for organizations across industry verticals. Some of these industries include:
Banking and financial services
Organizations are looking to process and analyze data in real-time to identify and respond to issues as they arise quickly.
Organizations use historical data and machine learning algorithms to predict future events and make proactive decisions.
More and more organizations are integrating IoT devices and sensors into their operations, which generates a huge amount of data that needs to be analyzed to extract insights.
Organizations are moving their analytics infrastructure to the cloud to take advantage of its scalability, flexibility, and cost savings.
Organizations empower business users with self-service analytics tools, allowing them to access, analyze and visualize data independently.
AI and ML are increasingly applied to operational analytics to automate routine tasks, uncover hidden patterns and insights, improve decision-making, and more.
A list of top 10 data engineering best practices to follow in 2023 to ensure data and code quality, accuracy, and reliability.
Get to know the tips for implementing operational analytics in your business and gain valuable insights for boosting efficiency.
We were struggling to increase our combined yield for all processes. After several futile efforts, we turned to Phygital. Their end-to-end analysis helped us identify hidden bottlenecks in the production line. We plugged them in to cut down on wastage and improve overall efficiency. Their service was indeed a game-changer.
Senior Operations Manager, US-based Manufacturing Company
With rising transportation costs, we suffered more from rising empty miles. We lacked precise, real-time, data-driven insights to resolve this issue. So, we partnered with Phygital. They stepped into our shoes and helped us maximize our existing capacity utilization and lane density. Amazed by Phygital's capability. Highly recommended!
Vice President, UK-based Logistics Firm
Our efforts towards decreasing manual workloads for our healthcare workers were cut short by rising patient counts. We sought Phygital's help for overcoming operational silos. They examined our entire IT infrastructure and workflow and offered insights to improve EHR interoperability, drastically improving our care.
Chief of Staff, US-based Healthcare Service Provider
We are experienced in most data science solutions to meet your business needs. Our other solutions include: