Efficient Data Management

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. This is because inconsistent data can cause errors in data processing and may lead to unexpected results and wasted resources. Let’s go over some simple definitions and examples of valid…

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, where data-driven decisions are crucial for success. From analyzing customer data to optimizing restaurant operations, restaurant analytics is a roadmap toward success. Let’s discuss restaurant analytics, its benefits, best practices,…

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 data-backed strategies is entirely dependent on the quality of the information they’re built from. With research indicating poor data quality may cost companies as much as $12.9 million per year. …

Data extraction is the process of collecting data from various sources, including databases, APIs, web scraping, etc., to perform analyses on historical data, discover patterns and, ultimately, make informed decisions.  However, it requires careful selection of sources, compatibility with the identified source, data retrieval from multiple sources, and ensuring data quality and governance. This post…

ClicData is dedicated to handle all data with the utmost security and privacy. As such, we are pleased to announce that we successfully renewed our key certifications including GDPR, ISO 27001, SOC 2 Type 2, and HIPAA in July 2024. In addition, we are excited to share that we have now added CCPA certification to…

Did you know that poor data quality costs organizations an average of $12.9 million annually?  While decision-making is at risk without data, poor-quality data can result in more serious consequences, like reputational damage, financial losses, compliance risks, and reduced efficiency. Therefore, maintaining a data quality standard for your business is crucial to survive in a…

Boasting a vast user base of over 150,000 as of 2023, Salesforce has become a go-to solution for sales enterprise and customer relationship management (CRM) needs.   While Salesforce excels in managing customer data, its reporting tools lack the depth and flexibility data analysts require. This is partly due to Salesforce’s primary focus on CRM functionalities…

Over the past few years, supply chain disruptions and shortages have caused issues for consumers and retailers alike. With these issues, the need for greater supply chain visibility has emerged.  Supply chain managers and their customers benefit from transparency and accountability resulting from visibility into the movement of products throughout the supply chain. In this…

What is an execution plan? Let’s break it down. An SQL Execution Plan is a roadmap provided by a database management system (DBMS) which outlines how the system will retrieve the requested data. This plan represents the optimized pathway for accessing information from databases, helping to maximize efficiency and minimize resource usage. This article aims…

As data analysts, we use SQL functions day in, day out. And we tend to use the same functions over and over again but we’re sometimes struggling to get to the expected output with those functions.   This article will give you four underused SQL functions with practical examples on how to use them.   Let’s dive…

What is call center monitoring, and why do call centers need this?  In business, maintaining customer satisfaction is essential. Customer satisfaction largely depends on the quality of interactions with call centers. Call center monitoring, a method of reviewing and analyzing calls, ensures customer service meets high standards.  It transforms every customer interaction into an opportunity…

A study from Statista estimated that 328.77 million terabytes of data were created each day in 2023. Not only we’re expecting this number to grow every year, but the complexity of the data generated will also grow.  Handling such volume and complexity of data is not only a challenge for enterprise organizations. Small and mid-marketing…