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CMMS and Data Analytics Tools Are Better Together for Supply Chain Operations
In supply chain operations, many companies use a computerized maintenance management system (CMMS) to track and schedule equipment maintenance. However, while CMMS handles the “what”…
How Supplier Data Management Transforms Operations
What if your supply chain didn’t just respond to disruptions, but actively predicted and prevented them? It can be achieved with an effective supplier data…
Supply Chain Visibility: Critical Challenges and How ClicData Can Help
Having blind spots in your supply chain is a potential disaster! You need proper supply chain visibility from production to delivery to meet customer demands…
Supply Chain Data Analytics: Overcoming Data Silos For More Efficiency
In 2023, 2.64 billion online transactions were recorded worldwide. And it is expected to continue growing for years to come. For operations teams, this means…
40 Essential Hotel Metrics to Monitor for Success
As a hotel or franchise owner, it’s crucial to have a firm grasp of your property’s overall performance at any given time. That includes marketing,…
How to Increase Hotel Occupancy in the Low Season
Seasonality is a major factor in running a hotel. During the peak season, when an area sees the most tourist activity, filling vacancies and maintaining…
Balancing Privacy and Personalization: Data Use in Modern Hospitality Businesses
How can you ensure that you don’t shoot in the dark and that all your efforts won’t go in vain? Of course, the one and…
Data Validity Explained: Definitions and Examples
Data validity refers to whether the data collected accurately reflects the problem. Even large amounts of data can be misleading or useless without proper validation….
Restaurant Sales Forecast: How To Calculate & Monitor Yours
Restaurant sales forecasting enables the prediction of restaurant sales weeks and even months ahead. This brings logistical control, financial security, and strategic advantages, leading your…
Restaurant Analytics Essentials: A Comprehensive Guide
Did you know the food service industry is expected to reach $1,767.54 billion by 2030? This forecast highlights the competitive nature of the restaurant industry,…
Understanding Types of Machine Learning Models
Machine learning uses programmatic algorithms to process user queries and generate an output. This output can be predicted labels (spam, not spam), clusters (customer segmentation),…
Why Data Completeness Matters: A Clear Guide
Incomplete data can skew analysis and lead to unreliable insights and inaccurate results. When data points are missing, it can be difficult to identify trends,…
Advanced Data Transformation Techniques For Enhanced Analytics
Data is among the most valuable assets for modern organizations, enabling leaders to form effective business strategies backed by provable information. But the efficacy of…
What is Data Consistency? Definition, Best Practices & Examples
Poor data quality costs organizations an average of $12.9 million every year. Moreover, inaccurate data causes operational paralysis and poor decision-making. Since data accuracy depends…
Simplifying Data Management & Analytics for Data and Business Teams using Microsoft Azure OpenAI Service
Learn how we integrate Microsoft Azure OpenAI Service into our platform and demonstrate innovation in the world of data management and analytics. We relied on Microsoft…