Whether you’re an industrial EEA, a small to medium-sized service business, or a manufacturing company, you collect information about your operations. Here are some examples of data that can help you manage your business: time spent, payment terms, customer satisfaction, etc.
Collecting this data is straightforward. Sometimes, it even happens without anyone knowing about it. The next task is to process and store the collected data. If properly collected, organized, and analyzed, this data can become an almost inexhaustible source of essential information for decision-making.
A data warehouse, often referred to as an EDW, is a great decision-making tool for organizing and analyzing data. In this article, we will explain how an EDW works, what its main benefits are, and how you can make the most of it to improve your organization’s performance.
What Is a Data Warehouse?
A database used to collect, organize, store, and analyze data from a company’s business operations is, by definition, called a data warehouse.
Decision Support
The data warehouse is a critical component of business insights, also known as Business Intelligence or simply BI. Its purpose is to provide managers with a basis for decision-making. Business Intelligence supports the decision-making process by collecting and analyzing information about a company’s historical processes.
Dashboards And Reports
This data is often presented in the form of dashboards or analytics reports. Specifically, enterprises use them to monitor customer lifetime value, monthly recurring revenue (MRR), customer churn, and other key metrics for their products and services. With automatically configured alerts, it can also detect anomalies in the tool.
What Kind of Information Is Stored and Analyzed In EDW?
The type of data you collect and analyze will depend on your business. The advantage of EDW is that it can be completely customized to suit your needs. You can collect, store, sort, and organize data, analyze individual datasets or cross-reference different types of data, monitor dashboards, and export reports for discussion with colleagues. A data warehouse can be used for a variety of purposes.
The data warehouse can be used to analyze the following three types of data:
1. Improving The Time Efficiency of Your Teams
One way to optimize your data warehouse is to add business intelligence tools. You can collect more data, perform deeper analysis, and ultimately improve business efficiency by linking the data warehouse to the tools your employees use every day.
One example that everyone will recognize is using ATM software to track time and activity.
An ATM is one of the most reliable and customizable time-tracking systems. With ATM software, your employees can track the time they spend on a client, project, or order using a stopwatch or manual time tracking. Time tracking can be done through a mobile app or online on a computer. You can quickly check your team’s efficiency, project progress, and overtime amounts with various reports on your platform.
All the information displayed in the interface can be cross-referenced with data from other sources to help you move forward. For example, you can easily link information about the cost of labor hours documented by your employees to expense claim amounts. When you use EDW and a tracking tool together, it’s easy to create complex reports and compare different data.
2. Increase Logistics Efficiency
Over the past 20 years, the world’s best logistics companies have invested heavily in their IT systems. And for good reason, data is a veritable goldmine that can significantly optimize the supply chain.
According to experts, data sources in the supply chain are also very diverse and rich, including automation, connected objects, location data, traffic, supplier data, WMS (Warehouse Management System), and TMS (Transportation Management System). Large amounts of data are collected throughout the supply chain.
A logistics company can use this information to improve transportation forecasting, predict inventory shortages, reduce lead times, and optimize transportation routes.
3. Monitoring The Marketing Initiative
Do you need help understanding the above modeling? Since this topic affects all companies, regardless of their industry, this new example is sure to interest you.
Let’s say you are the owner of a small information technology business. Your company has just launched a marketing campaign to introduce the latest product it has developed. Your marketing managers announce the first results of the campaign. The data is compelling:
- The YouTube video was viewed thousands of times.
- The banner ad got more clicks.
- Brand awareness is growing.
- The advertising budget on LinkedIn is meeting projections.
Only from these results will you be able to judge the effectiveness of the campaign about the desired objectives. However, the impact of the campaign on your business can only be adequately assessed if you compare this data with other information. What is the effect of the campaign on new bookings? How many people found the website because of the ads? Which consumer segments responded best to the campaign? And finally, to what extent did the campaign increase sales?
These three examples show how EDW can be used to collect, organize, analyze, and compare a wide range of data, regardless of where it comes from or what questions it addresses.
What Are the Benefits of a Data Warehouse?
1. Make Smarter Decisions
To make the best decisions, you need to know as much as possible about your organization. Your choices will be better if you have more accurate information. This information can affect your employees, customers, suppliers, supply chain, equipment, and even brand image.
By collecting this data, you create the basis for making the right decisions. When making decisions, not only do you have access to the entire history of the company, but you can view this data in real time throughout the year.
Implementing a data management strategy means planning for the future of your organization.
2. Combine Information from A Variety of Sources
Hours of operation, customer satisfaction, brand awareness, online ad clicks, production and delivery dates, etc. Sometimes, a database is limited to a specific application, whereas a data warehouse allows you to store, organize, and analyze many types of data.
Use this data to search the data warehouse, perform analysis, and improve processes. You can add new data at any time and delete what you deem unnecessary. The data warehouse changes with your business and adapts to your needs.
Integrate your data warehouse and business intelligence applications to simplify data collection. This makes it easier to access data that is collected and stored automatically.
3. Analyze The Measures You Have Taken So Far Without Affecting Your Day-To-Day Operations
Do you want to know how production times have changed over the last five years? Do you want to compare customer satisfaction in the previous five years, or do you want to know how hard your employees worked last month?
All of these questions have answers in your data warehouse. You can run a query and get results in seconds.
This makes EDW an excellent advantage for companies of all sizes. A data warehouse saves much time because it keeps data organized and readable.
Conclusion
Enterprise Data warehouses have become a critical tool for organizations that want to realize the full potential of their data. By providing a centralized, scalable, and powerful platform for data storage and analytics, data warehouses enable organizations to make data-driven decisions, improve operational efficiency, and gain a competitive advantage in today’s dynamic business world.
The future of EDW is bright as cloud-based solutions, artificial intelligence-based analytics and real-time data processing push the boundaries of what is possible. Whether you are at the beginning of your EDW journey or looking to optimize your existing data warehouse, the key is to align your EDW strategy with your business goals and leverage the transformative power of enterprise-wide data management.
By taking a close look at the various aspects of EDW outlined in this guide, companies can better utilize their data, innovate, and achieve sustainable growth in an increasingly data-driven world.
