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6 Vital Factors to Consider in Choosing the Best Warehouse Racking System for Your Business

Here are six factors to ponder about when choosing the best warehouse racking system for your business

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Warehouse, Racking System, Business
When you have efficient and effective warehouse racking systems, you will have an ally that can help make your goals. Pixabay

The core of any retail, manufacturing, or logistics business is the efficiency of its warehouse system. This goldmine can spell the difference between gains or losses. A business transaction does not solely revolve around a physical store or an online shopping portal. It relies heavily on the warehouse and its capacity to protect the products at all times.

You may be a startup that wants to transition from your garage to a full-scale warehouse. Or you may be an existing business owner who wants to increase productivity. When you have efficient and effective warehouse racking systems, you will have an ally that can help make your goals into a reality.

Here are six factors to ponder about when choosing the best warehouse racking system for your business:

 

  • Selectivity

Warehouse, Racking System, Business
You may be a startup that wants to transition from your garage to a full-scale warehouse. Pixabay

 

Selectivity refers to the accessibility of the products from the shelves and racks. If your company has a wide variety of products that need to be distributed immediately, choose a system that has easy access. If there is a need to access specific boxes, pallets, or bins several times in a day, avoid additional labor by using single depth racks. This kind of rack prevents other pallets from being “buried” at the back.

 

  • Storage Density

 

In logistics parlance, density is the storage capacity per cubic meter. Bear in mind that an increase in density means a decrease in selectivity. Manufacturing plants that have a production line for the same product need warehouse racking systems that have a higher density. This type of business requires quick and massive storage capacity, rather than the accessibility of the products. The best kind of system would be double or triple depth racks.

 

  • FIFO

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Recommended for operations, pallet flow racks require the First-In-First-Out environment. Note that boxes or bins that get buried at the back may increase the effort and cost of handling. Consider the flow of the inventory before making any decision.

 

  • Type of Pallets to be Stored

 

Not all boxes, pallets, or bins have the same shape or size. Check the packaging of both your products and the suppliers’. Inconsistent packaging may require additional accessories like rack decking or pallet support to ensure the safety and stability of the racking system.

 

  • Picking Profile

Warehouse, Racking System, Business
Or you may be an existing business owner who wants to increase productivity. Pixabay

 

Picking profile introduces the process of getting the products from the shelves or racks to fulfill customer orders. It determines how the products will be accessed. Will they be picked per pallet, per case, or per piece? This information will have a significant effect on the type and configuration of the racking system that the business requires.

 

  • Compliance

 

Research on the Federal state and local codes regarding seismic codes before you plan the racking system of your warehouse. Check if the business’ location belongs to a seismic zone. It means that the area is more prone to earthquakes. Therefore, it’s vital to install a stricter warehouse racking system. The law will require sturdier engineering of humanmade structures such as shelves and racks.

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Before designing a warehouse system and purchasing the needed materials, a business owner must evaluate the company’s needs and goals. Each factor must be included to maximize the investment and effort in putting up one of the most critical areas in a business. An efficient warehouse system will be your partner in business growth and success. 

 

Next Story

How to Prepare For Your First Job As a Data Analyst

A data analyst should work with numbers, and there is no escape from numbers in analytics

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Analyst
Data analyst is the one who collects the data, processes the data, and organizes data into the charts or graphs, or assigns the numerical value for the better understanding and taking important business decisions. Pixabay

Organizations in all industries rely on raw data to make critical business decisions. The raw data includes sales, social media, inventory, etc. They use this data to develop new products, to enter into new markets, to make investments, and even to target customers. Hence, comes the role of a Data Analyst

It is very difficult to handle the raw data for the organizations so, and there comes the role of a data analyst. Data analyst is the one who collects the data, processes the data, and organizes data into the charts or graphs, or assigns the numerical value for the better understanding and taking important business decisions. With the growing dependency of companies on data analysts, professionals are considering taking data analytics courses to get ahead in this domain. 

What does a Data Analyst can do?

Data analysts ascertain how data can be used to answer questions and solve real-life problems. They typically work with the computer system and calculation applications to figure out numbers. Also, they need to have the ability to present the data in interesting ways and explain the actual differences in numbers they make in the future.

Key responsibilities of a Data Analyst

  • Collecting and interpreting the raw data
  • Analyzing the results from the interpreted data
  • Reporting the results in an interesting and understandable way
  • Identifying patterns and trends in data
  • Designing, creating and maintaining a database
  • Defining new data collection and analysis processes 

Qualification required for Data Analyst 

Degree in mathematics, computer science, statistics, and economics subjects is beneficial in developing a career in data analysis.

Skills required for Data Analyst

  • Ability to analyze large data
  • Ability to write comprehensive reports
  • Strong verbal and non-verbal skills
  • An analytical and problem-solving mind
  • Attention to details

How to prepare for the Data Analyst interview

Now comes the question How should I prepare for the role of Data Analyst? And How should I prepare for the interview?

Not every data analyst role is the same in the company, and it may vary in various stages of business growth with a different set of data challenges.

Remember they are hiring you to solve their problems, so go through the company profile for a better understanding of the business they do

  • What is their business model?
  • How do they make money?
  • What are the important metrics to track?
  • At the time, what might be their data problem?
  • How are their customers like?

These questions will help you get a clear idea of the company and business they do. This is the first level of preparation for the interview.

Here comes the second level of preparations that are reviewing your skills, it is all about knowing where you fit in these 3 parameters,   

  1. Business sense
  2. Data or number sense and
  3. Database sense

Good Business Sense

For a Data analyst, it is not just assigning a numerical value to the raw data, but it is to have a piece of knowledge to analyze the business model and should be able to detect the threat.

A good analyst should have a good business sense and technical knowledge in the business world that comes with experience, critical thinking, and plenty of trial & error.

Data or number sense

A data analyst should work with numbers, and there is no escape from numbers in analytics. Numbers serve as a measurable value that supports decision making in a company.

A good analyst should have a good sense of numbers, having the ability to make sense of numbers will let you speak about the company fluctuations and explains a picture of the current situation.

The analyst should know what number to be chosen to make the best sense of data report, and what kind of KPIs should be used to know who the business is doing. And it raises the question to review the calculations and company conversions.

Graph, Chart, Growth, Report, Analyst, Company
Organizations in all industries rely on raw data to make critical business decisions. The raw data includes sales, social media, inventory, etc which an analyst needs to look upon. Pixabay

Good Database skills

For a Data analyst, it is a must and should the requirement of having good technical skills and be able to operate different programming languages such as Python, R, SQL, etc.

SQL is a basic database management language you need to focus on, SQL is the ruling language in the analytics world, and it continues to rule. 

Last but not least, start attempting practice questions. By doing this, you can take inspiration for yourself and understand what an employer wants to see in you.

Few tips 

It is always suggested to show your interesting projects related to data analysis and exclude mini-projects that you have never really done. 

Showcase your degrees that indicates your potential work and interest in the field of data analysis.

A problem-solving approach is very important for data analysts so, it is well and good to practice at least 20 data analysis questions before you go for an interview.

Keep reading various blogs and communities related to data analysis.

Try to attend conferences and meets, which can develop more understanding of data analysis.

Be very creative during your interview.

Internships online coaching is a better way to start your career to data analyst.

Interview question of Data analyst

Here are some interview questions and topics. For better understanding, I have divided it into different sections.

Basic Data Analyst Questions

Here the interviewers ask the fundamental question related to the Data Analyst and its terminologies. For example,

Differentiate Data Mining and Data Analysis?

What is the process of Data Analysis?

Define Data Mining and Data Profiling?

Excel Data Analyst Questions

Excel is the simple software used to do quantitative analysis, statistical analysis with an intuitive interface for data manipulation. They ask a question related to this,

What is a waterfall chart, and when do you use it?

How to highlight negative values cells in Excel?

Statistics Data Analyst Questions

Statistics dealing with data collection and organization, analysis, interpretation, and presentation, the question related to this is,

Define the term Normal Distribution? 

What is A/B Testing?

What is the statistical power of sensitivity?

SAS Data Analyst Questions

SAS stands for Statistical Analysis System, which can process complex data and generate meaningful insights that help to make decisions in the business.

What is interleaving in SAS?

Write the basic syntax style of code in SAS?

Explain Do Index, Do While, and the Do Until loop with examples.

SQL Data Analyst Questions

SQL is known as Structured Query Language used to manage data when you do well in SQL questions, as it will be evident in your interviewer that you know how to handle databases.

What is the default port for SQL?

What do you mean by DBMS? What are its different types?

What is ACID property in a database?

Tableau Data Analyst Questions

Tableau is a program for business intelligence that lets anyone connect to the data. It visualizes and creates interactive, shareable dashboards. 

Give the difference between Tableau and Power BI?

What is a dual-axis?

What is joining and blending in Tableau?

Puzzle Data Analyst Questions

The analytic industry relies primarily on professionals who specialize in different market-based data analysis methods, but also on those professionals who have outstanding troubleshooting skills. The approach to the problem is an essential skill you need to possess. Oh yes, you should be able to explain to the interviewer your approach as well.

Graph, Growth, Progress, Diagram, Analyst, Economy
Not every data analyst role is the same in the company, and it may vary in various stages of business growth with a different set of data challenges. Pixabay

At the end

In this article, we discussed who a data analyst is? What does he do? And responsibilities, qualifications & skills required for the data analyst. We also went through the preparation and tips to crack the data analyst interview.

Now it’s up to you, follow the proper guidelines and keep practicing the things because new data is generated huge, there are various problems in processing this data so, always keep tracking the latest technologies and techniques to solve these problems.

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 It will be great if you want to share your journey as a Data analyst with us. Your trip might inspire someone to become a data analyst.