You collect data every day—sales, customers, and inventory information. But then, what happens to all that information?
In most companies, all data is scattered. Financial information should go here, marketing data will go there, operational data elsewhere. They never match. This is a huge problem. It takes time to make mistakes. It’s a waste of money. A data warehouse solves this dilemma. All data is arranged in one place. Organized cleaning has been done.
Who really needs a data warehouse? At what point in time? Find the answer here.
What Is a Data Warehouse?
A data warehouse is a place in a company for all the data. It keeps data coming through various transports—your CRM system, ERP, application, database in one place.
It’s not just a place for information; it’s designed for reviews and reports. Make sure you do what you need to do.
Who Uses a Data Warehouse?
Short answer: Any firm that needs to handle huge amounts of data. However, let’s get specific and see how different sectors currently use data warehousing.
Aviation
The airline industry is handling a huge amount of data—routes, passengers, fuel, prices, crew schedules.
Data warehousing enables airlines to determine the correct routes. Helps create personalized offers for frequent flyers. Helps in quick and accurate pricing.
Banking and Finance
Banks use data warehouses in asset management for market research, also for product performance analysis. The bank analyzes customer behavior. Cost trends are recognized. Risk management becomes more accurate.
Banks’ compliance requirements are met through data warehousing systems, audit trails, regulatory reporting—all in one system.
Healthcare
Hospitals and clinics collect patient information from various departments. The data warehouse system collects all the data.
It helps in generating reports on the patient’s condition. Patient outcomes are predicted using historical data. It helps share data with insurance companies and other service providers.
Insurance
Insurance companies use data warehouses to study consumer behavior. This is done to study market trends and design products.
They also use it for government data reporting. They use data warehouses for tax analysis and health policy research, both of which require accurate data.
Retail
The retail industry may rely more on data warehousing than any other industry. They use it for marketing purposes. They use it for logistical purposes. They use it for customer research.
Telecommunications
Decisions taken by telecom companies rely heavily on data, marketing activities, sales forecast, and distribution strategy.
Data warehouses provide their teams with a holistic view of real-time usage statistics, signal for customer churn, network performance information—all in one place.
Tourism and Hospitality
Hotels and travel agencies collect information about their customers’ preferences. Their likes and dislikes. How do they book? What are they doing?
Data warehouses can help them use that data to drive marketing and promotions.
When Should You Get a Data Warehouse?
This is the area where most organizations go wrong. Below are clear signs that it’s time to build a data warehouse for your business:
1. Your Data Comes From Many Places
You use multiple systems for your organization’s operations. You have one software for sales, one for finance, and one for HR. This means that you need to pull data from multiple systems. You need to pull data into a report.
With a data warehouse, this becomes easier. Otherwise, pulling information from multiple sources can be a nightmare.
For example, let’s consider a restaurant. This will require POS sales data. In addition, it will require the scheduling of HR staff. By combining the two, you know when your employees are busiest.
2. Your Analytics Is Hurting Your Main System
This is one that really blinds many companies. Large queries on the live database will block it. Your operating system is designed for transactions, not analytics.
When analysts run their reports on the live system, it crashes. Applications run slowly, and transaction lags affect customers. Data warehouse systems remove this burden. Analytics work independently of your other systems.
3. Your BI Tools Can’t Connect to Your Data Sources
Most BI software does not work effectively with NoSQL database systems. This is the case with MongoDB. If you have applications using MongoDB, analysts cannot access that data. It should be removed first.
Acts as a data warehouse conduit. Information is received in the warehouse. BI tool connects to a single data source.
4. Your Queries Are Too Slow
You have a lot of data—hundreds of thousands of rows, even millions. It takes forever to run the queries. Reports are slow. You wait, people wait for decisions.
That’s what a data warehouse is designed for. It uses efficient storage and parallel processing. Reports that used to take hours now take seconds.
5. You’re Ready to Make Data-Driven Decisions
Not necessarily about injury but about motivation. You want to run fast. Make correct predictions—no more guesswork. The data warehouse is your platform for success – good data, connected data, informed decisions.
Cloud data warehouses are very cheap these days. There is no excuse not to move.
What Are the Key Benefits of Getting a Data Warehouse?
Here’s how it changes everything:
- A single, trusted source of information for your entire organization
- Analytics in seconds instead of hours
- Improved decision-making from accurate, real-time data
- Reduced time spent manually fixing erroneous data
- Improved compliance and auditing capabilities
- A great foundation for machine learning
The longer you wait, the more you miss out on these benefits.
How ExistBI Can Help?
ExistBI has been providing data warehousing as one of its core services since 2008. The company has delivered projects to companies in aviation, banking, healthcare, retail, telecom, and countless other industries.
What makes them unique?
- They provide end-to-end services from strategy, design, development, migration, testing, launch, and beyond.
- They are platform-independent – Snowflake, Azure Synapse, Redshift, BigQuery, Databricks, Microsoft Fabric, IBM, SAP, etc.
- They choose solutions based on your business needs – not their convenience.
- They provide services in the US, the UK, Canada, and EMEA.
It’s hard to get your data warehousing job done right without the right plan, platform, and people – ExistBI has it all.
The Last Words
There are certain signs indicating that your company needs a data warehouse. A data warehouse provides you with easy access to your data.
It enables airlines to set flight prices, banks to assess risk, hospitals to provide better treatment, and retailers to run more effective marketing campaigns. The need arises in all industries.
A data warehouse isn’t limited to companies with advanced technology. It can be used by any company that relies on data.
