Data Management

If you’re diving into the world of SQL as a data analyst, you’ve likely come across terms like primary, foreign, and unique keys. At first glance, these concepts might seem like abstract rules for database design, but they play an important role in organizing and managing data effectively. Understanding how these keys work is a…

Microsoft Power BI stands out as a market leader in data visualization, without a contest. However, it often requires additional tools when implementing a complete data strategy. In addition to complex data preparation and transformation, there are storage, security, automation and connectivity to data sources that are beyond the scope of Power BI. Enter ClicData,…

Do you know that businesses generate over 2.5 quintillion bytes of data daily? Yet, 70% of companies struggle to get meaningful insights from their data due to fragmented tools and systems.  People in the tech and data industry keep talking about the modern data stack as the solution to simplify data management. However, it can…

Data is the most valuable asset for businesses as they rely on data insights to make decisions. Forbes research shows that companies generate around 2.5 quintillion bytes of data every day. While large enterprises have long used advanced data systems, SMBs (small and medium-sized businesses) are now realizing the importance of using their data to…

Understanding who your customers are, how they interact with your brand, and what drives their behavior is essential. Without customer data unification (CDU), you’re left with fragmented, inaccurate data that limits insights and slows down operations. Let’s us how you can reconcile the customer data for your marketing team. Key Elements of Customer Data Unification…

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 management (SDM) strategy. Supply chains are extremely complex and rigid. All in all, resilient operations come down to the clarity, accuracy, and immediacy of your data. In a recent survey,…

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 and stay competitive.   But you probably know the struggle all too well… Dealing with fragmented systems, siloed information, and complex supply chain processes. You’re not alone. 69% of companies have…

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 finding ways to constantly optimize the supply chain and product inventory to keep up with demand while reducing operational costs. But how do you achieve that when the data is…

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 revenue isn’t too difficult. However, during the low season hoteliers can struggle to find unique ways to attract customers. Data analytics can be used to identify trends in customer behavior…

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,…

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, patterns, and relationships.   In this article, let’s understand data completeness, its significance, and validation techniques. Understanding Data Completeness Data is complete when it contains all the necessary information or data…

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. …