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Business Analytics vs Business Intelligence

By Meghna Pant posted Wed November 20, 2019 04:24 AM

  

Commerce or Business and data are two inter-related terms. Any business or firm is associated with data generation and maintenance. Sound knowledge of the collection and interpretation of data has an impact on the firm's future progress. When a company calls candidates for hiring, they look for certain added advantages. This includes Business intelligence and Business Analytics. Candidates who are looking out for job opportunities in firms can enhance their skill set by opting and taking up business analytics or intelligence courses. This makes them more eligible for the job. This is suitable for a broader range of companies. Not just IT firms, other MNCs also find it advantageous to hire people with this specific skill.

What is Business intelligence?

The history or background of any firm has a role to play in its future path as well. The collection of data from the past and its interpretation is termed as Business intelligence. With mere data in hand and no explanation, this could be futile. A candidate who is enhanced with a clear idea on business intelligence can trace back the difficulties that the firm has faced in the past. This will also help to design preventive measures to avoid this getting repeated in the future. This business intelligence courses are not complicated. It involves a few statistical tools, that will help to get a clear idea of the past happenings. There are business intelligence courses available online, which are offered by several online learning platforms. Candidates can make use of this to not just learn, but also to certify themselves as better and more advantageous candidates for the firm.

What is business analytics?

This is yet another related terminology in data interpretation and past happenings. Business analytics aims to understand why the issue has occurred. The root cause of the problem is a primary concern here. Thus, an expert in business analytics will be able to predict what leads to these issues. This can also be studied using a few necessary statistical software and applying simple logic to know the causes. By eliminating these causes in the future, one can prevent the firm from falling into risk again. 

Though the two terms seem interlinked, giving almost the same meaning, there are slight differences between them as well. When Business intelligence primarily handles the "What" questions in the past, business analytics deals with "why" is happened. Knowledge of both of these will help a candidate qualified for work in most multi-national companies.

Every data generated has a close association with another data set. In most cases, it might not be apparent. But a business analytic expert can find and connect the dots called data to generate usefully and required information. This will help the firm grow in terms of solving issues as well as preventing future problems.

Now as a candidate looking out for jobs, you might wonder which one is more important.

 

Business intelligence or Business Analytics. And here is the explanation for that.

Business intelligence deals with the current operations in the firm, as well. Business analytics is primarily concerned about the past happening mostly. Business intelligence is to run the current firm by sorting out the issues. Business analytics is just a way to enhance the current functioning of the company. A business intelligence course can come handy for ongoing business opportunities. A business analyst is a key role player in the planning forum. He or she will work with a team in planning and preparing plans for the future and further growth of the company, rather than looking at the present situation. Both studies require knowledge of different sets of tools. Business intelligence involves understanding to work on SAP Business Objects, QlikSense, and similar devices, whereas a business analyst works with Word processing, google docs, and MS office tools. 

If you are a candidate looking for an opportunity to work with a well-established company that is already saturated in terms of growth and business, then you should take up a course on Business intelligence. This is because slight modifications in the existing company’s work style are just sufficient to maintain the stability and functioning of the firm. But if you are looking out for a career with a developing firm or a startup, then you should learn business analytics. This will help you understand and formulate plans for the company's further development and meeting out the future goals of the company. Business analytics comes under the field of data warehouse management, whereas Business intelligence itself comes under data analytics. 

Where can I take up these courses?

Business intelligence courses are not available in a single roof. These are different software that you have to master by taking up various business intelligence courses. To start with, websites like Great Learning have the best list of business intelligence or analytics courses, that will help you meet out the requirements. You can enhance further once you are done with these basic courses. These courses are simple and can turn you into a certified business analyst in just a few weeks. These are just added and added advantageous courses that you have to learn after your undergrad to make you a stand out candidate from the crowd. You can refer a few websites to know more about the business intelligence and analytics course to get a clear cut idea on this aspect. 

What if I am planning for a startup?

There might pop up a question in your mind, what if I want to begin my startup? Do I need to know all these? The answer is, of course, yes. When you start venturing into startups, you need to have a clear idea of managing the data. This isn’t as simple as you think. You have to be an expert in business intelligence and analytics to run your startup successfully and to expand it in the future. To drive your business to the next level and also to improve your business, this is highly essential. Though certifying yourself as a business analyst is not necessary in this case, basic knowledge is considered highly crucial. 

Where can I take up these courses?

There are several options where you can learn these courses online. This is as simple as logging in to a mail. By paying a considerable fee, certification can be done. These courses are essential, not just for freshers hunting out for jobs. If you are already placed as a professional in a firm, you can also take up this course to help yourself be unique. Several institutes in India also offer classroom courses. These courses come with flexible timings and easy to approach staff to help you better understand the concepts. When it comes to certification, make sure that the best professional institutes certify the course you are taking up. This is as important as taking the course itself. Because just with a mere course, from an unrecognized or unpopular certification system. Analyze thoroughly with the institute offering the course. Look for the reviews and ratings from people who have previously taken up the course with these institutes. Apart from improving your skillset or helping you find a better job, this will also have an impact on the salary you get. 

The primary intention of taking up these courses is to improve yourself as a better person when it comes to decision making. You can also predict the future of your business and avoid risking it to future potential problems. These issues are more related to numerical or number facts. With the proper data in hand and analyzing it from the right perspective, business analysis and intelligence are more of a quantitative study that deals with facts and figures. With the facts and figures derived, one can conclude with ease. Most modern organizations lookout for this quality. Which are people who can derive conclusions from the already existing facts? Giving the right business insight is more important for a firm. This can make or break a company's future. This can also have an impact on the company's financial status in terms of cutting down expenses and increasing the profit level. All this is because the ultimate aim of a business is to make out active transactions that can lead to a profit. This also involves analyzing market trends and making sure that you make the right quality and quantity of products to meet with the market demands. This is not just for the manufacturing sector but also for service sectors. Making the right candidates and offering the right services is also essential. This will increase the operational efficiency of the firm and help shift it to the next level. This is done in parallel with reducing the margin. 


Start your business career today by taking up the best business intelligence or business analytics course to improve your job and help you build you a perfected career. 





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Fri September 10, 2021 05:22 AM

Good Post, I'm super interested in this type of topic Business Intelligence

Thu December 12, 2019 05:41 AM

Thanks for explaining this. I think that's what I was describing in this post I provided about business analysis and updates i would like to automate on GambleRock®. Actually now that I think about it I can't believe that I din't even mention repost®  at all in that referenced comment because it has so much potential with the right execution carried out.

With repost I believe that execution is everything as the social cloud data idea/model i have for it has been refined over many years while the site remained online with only basic reposting technologies until recently (2019 its been updated).

I am hoping to work with IBM on my repost project as well. I am the trademark owner on the repost® IPR and it would be great to have a contact at IBM's IP department to reach out to for this important project and massive opportunity. Our brand's name repost itself has over 439,700,000 images using "repost" as a hash tag on Instagram for an example of size and scope of the potential here. We can use Watson & SPSS Statistics together to evaluate the IP valuation and provide guidance on monetization models/paths to follow. Please let me know who the right people are to speak with at IBM about these matters. Thanks again!