18.09.2023 09:30

9 Reasons You Need Business Analytics

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Over the last ten years, the way businesses operate has shifted from land to online. This doesn’t mean that land businesses are obsolete because there will always be a place for them. However, it means that computers and automation are fast becoming the norm. Although this is an enormous shift, which can be a monumental learning curve for some businesses, the benefits are endless. To work out whether your business is working well, you will no longer need to trawl through hours of paperwork and fill out charts on excel. Instead, you can have your business figures run through Artificial Intelligence (AI) that can churn out tables on anything you need to analyze. Then, all you need is an analytical expert to take your graphs and change them into understandable information. If you’re new to business analytics, you’re in the right place. Throughout this article, we will tell you why it’s vital to the success of your business.

Turnover Reduction

9 Reasons You Need Business AnalyticsThe cost of onboarding new talent is high, yet companies bleed thousands in wasted revenue on the cause. To reduce these staggering costs, businesses can use analytics to make informed decisions on whether a candidate would fit the nature of the business. With automated analytics, you can track performance, gain satisfaction insights, and find out ahead of time if they’re likely to leave. Knowing this information can help you make informed decisions on when to recruit, who to recruit, and how to go about enticing employees to stay.

If you’re reading this and want to up your chances of being shortlisted and kept by your chosen future employee, you should consider an MSc Business Analytics degree from Aston University. You will learn all about the latest trends in business as well as how to understand the data. The course can be completed online, which means you won’t need to miss out on work.

Make Effective Decisions

Outsourcing certain processes are common practice for businesses, which boosts productivity and efficiency. However, it’s difficult to know who is best to outsource to. With business analytics, you can effectively observe your choices before you make a decision and take into account everything from order fulfillment rates to customer ratings. With all of the data in front of you, you can make your decision easier.

Boost Customer Experience

Businesses face tough competition in every sector, which means that customers have countless options available to them. To be successful, you need to draw customers in and maintain them, which you can achieve through business analytics. For example, if you own a restaurant, you can analyze the number of each dish sold through a month. This will help you to decide what to cut from your menu and what to carry on with. This is only one way that business analytics can improve your customer experience; you can research more here.

Deal With Issues

9 Reasons You Need Business AnalyticsNo business wants to face issues, but they are unavoidable. However, coming across a problem doesn’t need to cause an entire operation to shut down. Thanks to business analytics, you can monitor your production line and recognize any issues at the earliest time. Then, you can be advised by your dedicated analytics team on the best approach to tackle the problem. Fewer issues mean more production and revenue.

Perform Sound Competitor Analysis

We mentioned competitors previously; every business has them. The only way to beat your competition is to understand them completely, which you can do using business analysis. This type of analysis is called a “SWOT analysis”, which stands for Strengths, Weaknesses, Opportunities, and Threats. With this information, you will see where you are failing and where to improve your processes. Although the procedure looks simple, you should take time to go into deeper detail to gain the greatest insights.

Cheaper Manufacturing Costs

9 Reasons You Need Business AnalyticsIf you want to know how business analytics can help you reduce manufacturing costs, you only need to look at the Intel story. When they first started developing chipsets, they were running around 20,000 tests on each chip made. Now, thanks to business analytics, they can analyze each chip and know exactly which tests to run. This has saved Intel around $3 million in manufacturing costs.

More Informed Advertising

Effective advertising is expensive but will give you a great return on investment if carried outright. Luckily, thanks to business analytics, all of your online pages can be adjusted to become effective. Through C split-testing and A/B and C testing, all the details down to the position of products on a page will be optimized to boost engagement and convert browsing into sales. Further, if you’re running several ad campaigns, you can look at the overall engagement to know which works and where to spend less money.

Easier To Catch Fraud

Business analytics are used within the financial sector to crack down on fraudulent activities. One way this can be done is through big data analysis that can help spot fraudulent sales and purchases. As well as looking at sales data using business analytics, financial businesses can take a detailed look into customer profiles to see if anything stands out. Reducing the risk of such activities creates a stronger bond between consumer and company because of the trust it instills.

Airtight Product Management

9 Reasons You Need Business AnalyticsRetail companies can sell thousands of products at a time, which can be challenging to manage. Fortunately, there is an excellent way of determining when to release products and for how long. Yes, you’ve guessed it, business analytics. Businesses in the retail sector look at how many units are sold, in which area, and for which season. Then, they can use the information to decide when to release products to have the most significant impact on revenue.

Business analytics is an integral part of succeeding as a business. Now, thanks to tech advances, the data collection process can be fully automated. This means that companies need to hire data analytics to break down the figures into understandable and actionable information.

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