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What Is A Data Warehouse, And Why You Need It?


Running a retail business successfully is not a piece of cake. It demands careful management of assets, and businesses have to take care of customer needs too. There are deadlines to meet, and they have to work as per the user requirement. Above all this, they need a powerful data warehouse and an effective warehouse management strategy that can work like a well-oiled machine for their business. This effective management also helps in reducing the overall costs of the project.

So, what is a data warehouse, and how it can be beneficial for a business? Let us dive deep and discuss these important concerns one by one.

What Is A Data Warehouse?

A data warehouse is not a new term, but it is into existence for years. A Warehouse is a place where we can store something. It is a technique to collect and manage the data from different sources and provides powerful business insights. It is a mix of technologies that helps in using data strategically.

In technical terms, a data warehouse is an electronic storage hub where a large amount of data is added by an organization, and it is further converted to meaningful information using different intelligent platforms. This information can be availed by users in a timely fashion that makes a true difference.

There are mainly three types of data warehouses that are used by industries. These are the enterprise data warehouse, data mart, and operational data store. Enterprises can pick anyone as per the storage requirement.

SQL is a powerful language used by businesses all over the world to store and access data. If you're looking to start a career in data management, or if you're looking to improve your skills,  Data Management Certification is the perfect way to get started.

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Another question is, why use a data warehouse? Data warehouse ensures consistency for corporate decision-makers to analyze and share data insights with the like-minded people around the globe. Additionally, there are many career paths associated with it who want to work with Business Intelligence (BI). Professionals like data architects, database administrators, coders, and analysts are counted as BI professionals.

What Is The Need For A Data Warehouse?

There are multiple reasons why retail businesses or similar industries need a data warehouse. Let us discuss the most important ones that make a warehouse more important for businesses.

1). Automate the Data Collection

Earlier, warehouse employees were spending most of the time, counting products manually, that is merely a waste of time. With barcode identification, things have gone much easier for all industries instead of their sizes. Today, everyone is taking benefits from technology advancements. For warehouse management, it witnesses more accountability, lower labor costs, and accurate order fulfillment.

2). Improve the Picking process

Most of the Companies use software packages for warehouse management that further utilize bin locations to find any product quickly. It helps in organizing products as per the sales volume and thereby improving the picking process by eliminating unnecessary steps. These bin locations help to train new hires where each bin location can be mapped with the particular vendor. In the peak season, when you need temporary workers, you can assure that everyone can find products with a single click.

3). Regular shipment notification

A regular shipment schedule is a highly flexible choice for the receiving department. Disruptions are common in logistics due to weather issues, traffic delays, or any other problem. The regular shipment notification scheme can help the staff in scheduling activities as per the convenience. Stay in constant touch with parties and vendors to know about the actual status of varied inventory levels.

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4). Better Visibility to the Information

Are you able to access the vital information at your fingertips? An information system can help to distribute the content timely and empowers each department to take the right action at the right time. In simple words, an information system helps employees to perform better their job responsibilities.

5). Effective Returns

One of the biggest hindrances in warehouse management is effective returns. For this purpose, industries have to adopt a specialized return that can streamline the process in an outstanding manner.

6). Analyze the Floor Space

The majority of companies believe that they need another warehouse, or they want to expand the existing one. Another important question is, how are they utilizing the current floor space? Most of the time, vertical space is not utilized well by industries. Before you opt for a new warehouse, the analysis of the available floor space is vital.

7). Focus on regular inventory counts

Do you reply to maintain inventory counts annually? It is not the right approach that may leave you in trouble in the long run. The best idea is to focus on regular inventory counts like bi-monthly or monthly as per the requirement. It will keep all essential items in stock and improves the overall profits too

8). Communication is the Key to Success

You should maintain healthy communication when discussing with vendors. Talk to them about the quality of the product and work on issues as soon as they encounter it. Effective communication helps in establishing long-lasting relationships like never before.

9). Track the Tasks

When any large shipment comes in, it is difficult to keep track of each task. The best idea is to define actions for different tasks and communicate the same to each department. It will keep everything in sync and avoids unnecessary work.

10). Supply Chain Management

Perfect tracking of inventory at different phases is considered important to efficient operations. Particularly for manufacturing industries, inventory control is the utmost concern. Things may go hand in hand with better information visibility, as discussed earlier. For this purpose, you need an information system that helps to analyze and distribute content across departments wisely.

It is a simple guide to help you in stupendous warehouse management. Always keep the design of your warehouse simple and justified. Try to automate the major operations to save your time and money. Lastly, rely on trusted warehouse management experts to help you throughout the process. Testing and training are highly imperative to achieve a maximum level of efficiency, reduced costs, and personalized customer services.

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Things To Avoid In Data Warehouse Management

A data warehouse is an information hub where data can be collected and stored from different sources. The store data can be structured, unstructured, or semi-structured. Developers have to utilize BI tools to process different types of data from multiple sources.

Things To Avoid In Data Warehouse Management

Further, this stored data is converted into meaningful insights to drive powerful business decisions. During this process, you have to take care of certain facts or need to avoid specific mistakes for an effective data warehouse management. Let us discuss the same for your reference. If you're thinking of becoming a SQL DBA, it's important to understand the SQL‌ ‌Server‌ ‌DBA‌ ‌Roles‌ and‌ ‌Responsibilities. A DBA is responsible for the overall performance of a SQL Server database and is able to troubleshoot any issues that may arise. 

A). Don’t rely on the excess inventory:

The excess inventory ties up unnecessary space, time, and money. You have to use the same products when new or more innovate products are launched in the market. You should arrange small shipments that can help you better meet customer needs and requirements.

B). Don’t keep users undertrain:

You should spend sufficient time training all key users. Set up a mini-warehouse, all necessary equipment that is needed, and construct hands-on exercises too. As per the expertise level of your employees, you can repeat each training cycle at least twice. You can hire translators as well if needed.

C). Don’t exceed the budget:

Every time you are planning for shipment, work on the budget first. Depth analysis of the budget is vital to ensure success. You need money for other things too, like new hires, training employees, and more. Here, you have to make sure that you have money in your pocket that can be used for more potential things later.

D). Don’t use inefficient picking paths:

Are you sure you are using the right picking path for most used products? Each high-in-demand product should be centrally located to the dispatching area. If picking paths are not viable, then it may create frustration at all levels. You can use bin locations too that we have discussed earlier in the best practices for warehouse management.

E). Don’t keep the floor dirty:

In the warehouse, the regular storage of products and materials can clutter the workplace. So, it is necessary to perform regular cleaning to avoid the product from damage. If you are not sure of cleaning patterns, then it may increase the workload on the following shift. Sometimes, you have to spend extra dollars unnecessarily. Check our comprehensive guide on How to Restore a Database Backup from SQL Server Management Studio to help you sail through.

Different Stages of a Data Warehouse

Different Stages of a Data Warehouse

Traditionally, businesses started using data warehouses for simple use. Over time, the usage of data warehouses become more sophisticated. Here are different stages of a data warehouse; you must know how to use it even more effectively.

  • In the first stage, data is extracted from multiple sources and stored in a central repository. Data can be structured or semi-structured. The best part is that you can club different types of data together in one place. It makes access to data stress-free.
  • Once you have collected data from different sources, your job is not done. You have to update it regularly from time to time. Only updated data can help in meeting the business objectives.
  • If you are working on a real-time data warehouse, then it has to be updated after each transaction happens in the operational space — for example, Airline, railway, or movie ticket booking system.
  • At the same time, an updated data warehouse has to be integrated back to the operational system.

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Different Components of a Data warehouse

Different Components of a Data warehouse

The discussion is not complete without looking at the components of a data warehouse. They are divided into four categories. These are Load manager, Warehouse manager, Query manager, and the end-user access tools.

  1. A Load manager is a front component that helps in loading content from different sources to the warehouse. Further, it helps in an effective transformation of the data to make it suitable for businesses.
  2. Next is a warehouse manager that performs all necessary operations that are vital for data management within the data warehouse. It helps in the analysis of data, maintains data consistency, manages indexes or views, helps in creating aggregations, data merging, and data back-ups, etc.
  3. There is one query manager that performs operations related to query management. It helps in managing and scheduling user queries efficiently.
  4. The last category is the end-user access tool, where plenty of application programs can be used for data warehouse management and data mining.

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Data Warehouse Applications

Here are the most common industries where the data warehouse is used frequently.

  • It is generally needed in airline systems for different purposes for route analysis, crew assignment, or more.
  • It is extensively used by the banking sector to manage all resources effectively. It can also be used for market analysis, research purposes, performance measures, etc.
  • It can be used by healthcare industries to store patient data, track reports, managing appointments, reports, etc.
  • It can be used by the public sector or government agencies to analyze or manage complex tax records and other policies.
  • It can be used by either investment or insurance sector for the analysis of data patterns, current market trends, new technology advancements, etc.
  • Retail businesses generally use it for the distribution or marketing of products. It helps in understanding tough customer buying patterns and also needed to check the pricing scheme.
  • It can be used by the telecom sector to boost sales, product promotions, and make distribution decisions.
  • It can be used by the hospitality industry to track their campaigns, customer feedback, or travel patterns, etc.

Best practices to implement a Data Warehouse

  • It should help in maintaining data consistency, data accuracy, and data integrity.
  • Each data warehouse should be defined and organized well as per the standard guidelines.
  • When you are designing a data warehouse, make sure that you are using the right set of tools and techniques.
  • You should never replace the operational reports or operational systems.
  • You should decide on the timeframe you need to extract, load, and transform the data.
  • Always design a data warehouse that is useful for the end-users.
  • You should design a proper training plan to help users.
  • It should help in the quick access of the data from different locations as needed.
  • The picking process for products should be faster so that anyone can find products even if he belongs to your team or not.
  • A data warehouse can be connected with multiple data sources together to reduce the stress and manage data in a hassle-free manner.
  • A data warehouse can store a large amount of historical data that has to be utilized from time to time for making future predictions.
  • Data warehouse ETL or what is data warehouse ETL is the most important practice to be done if you are learning data warehousing. It is a process of data warehousing which stands for Extract, Transform, and Load.
  • What is data warehouse in SQL is another practice to be considered while learning data warehousing.

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Drawbacks of a Data Warehouse

  • It is not an ideal option to store unstructured data.
  • It is not easy to manage and design an effective data warehouse without taking help from experts.
  • If you do not update it quickly then it will become outdated soon.
  • It is tough to understand by average users who don’t belong to an IT background.
  • It may be difficult to understand data types, indexes, queries, or database schema.
  • You can not be sure of the database scope, even if you are putting in your best efforts.
  • Sometimes, warehouse management has to follow strict guidelines and tough to understand by developers.
  • Industries have to spend a huge time in training resources for the right use of the data warehouse.

What is the ultimate outcome of a data warehouse? This is the most commonly asked question if you go for the interview of a DBA. This question is asked with the supportive 4 options-  data goals, data relationships, data marketing, data marts. And the right answer is- data marts. Within the ending stage of the data warehouse models process, after the data warehouse step, the end results are marketing data mart, inventory data mart, and sales data mart.

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What’s next after Data warehouse systems?

The big data analytics  domain is growing at a fast pace, and BI is also growing at the same speed. Business Intelligence is one of the important technology considerations shaping the future of data warehousing, data science, data engineering, data mining, etc. There is a definite need for continuous changes in BI to accommodate the varied customer needs otherwise it may impact the business performance and ROI of a business adversely.

A database management system or older BI system is the traditional approach for integrating data from different channels, and they are not able to streamline communication across channels. This is the reason why big data companies are trying to improve the existing data warehousing solutions to fulfill the new set of requirements.

Based on the modern data warehouse architecture, data is stored in raw form, not hierarchically. It enables quick and efficient access to the data. New-age Data Warehouse solutions reduce gaps in communication and streamline communications across departments. However, only professionals can work with a modern warehouse system.

So, there is a quick need for skilled warehouse experts who can take care of the data and computer algorithms. It is the reason why a data warehouse career has an immense scope, and companies generally offer attractive salary packages when you are skilled enough.

Next Steps:

It is not possible to work with a modern data warehouse system if you are not skilled or you don’t have the right expertise to accomplish data management tasks. The best idea is taking online data scientist training to acquire the required expertise and give a smooth transition to your career.

A career in data warehouse space promises lucrative benefits like excellent career growth, attractive salaries, and job stability, etc. JanBask Training, your online education partner, can help you in stepping stones to success and achieve tremendous career growth like never before.

To be a successful database administrator, you need to have the right skills and knowledge. If you are not sure where to start then SQL Training & Certification courses are apt for you. Also, join our professional JanBask SQL Community to connect with industry experts and professionals. 

We wish you luck and don’t forget to share your success stories, once you are done with your training and certification with us!

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