As an aspiring individual looking to have a career in Analytics, you have a lot of options. But the question remains - Where do you start? In the current day, analytics is everywhere. You just have to seize the opportunity for applying it in the business world. There is ample opportunity right now to make a switch to a career in Analytics.
Analytics has deep implications in the modern world and almost every research and consulting firm in the world has understood its importance. As a result, most major firms have started building teams to incorporate analytics into their day-to-day operations. Analytics has the potential to open corporate floodgates and impact the processes of decision making as well as shaping strategic thinking. Corporate firms are generating and storing data at a rapid rate. There aren’t enough skilled Analytics professionals who can help organizations make the most out of their data.
Learn the right tools
There are many tools used in Big Data Analytics, including SPSS, SAS, SQL, and R. You can begin with any tool you have access to. You may even be surprised at the kind of tools that already exist in your organization. When you are seeking to learn something, your objective shouldn’t be to know everything. Instead, you should focus on thoroughly learning the substantial portions. Make sure you have a good grasp of whatever you learn. Thorough knowledge in one aspect is better than knowing a little about everything. If you can gain mastery of a tool and some of the techniques or modules of that tool, you give yourself a better chance of landing a job and being able to properly do your job. Simply pick an easily available tool and start learning.
Learn the tricks
Your work isn’t done after learning the tools. There are a few tricks of the trade that you must know as well. Here, you have two options. You can either learn from another experienced professional within your organization or take up a professional curriculum.
Big Data Analytics course helps you understand the basics, learn different tools and frameworks, and how to use them to perform real-time analysis.
With the right course, you will not only learn about the tricks in analytics that are essential for solving real-life problems by deploying Analytics but also how to make sense of them. Whenever you deploy Analytics, you will get various statistics as an output. Only a seasoned professional knows which statistics to ignore and which ones to look at. Given that the course is provided by experts with real-time experience, they are best suited to guide you in your learning process.
Search for opportunities
You should look for ways you can apply Analytics in your sphere of work in your current organizations. It is hard to identify where you can start looking at. The best way to begin is by identifying the data sources and checking if the collection of data is being done in some repository. If a function or process of business has data being collected, it can likely be used.
There is no need of building a predictive model in the first place. Most organizations are not prepared for such a huge change suddenly. Not just that, organizations won’t trust Analytics and its predictive power straight away. You also have to earn their trust in your ability to harness something useful from Analytics.
You can begin with the generation of simple insights from data that isn’t presently reported. Even creating simple metrics can have a huge value for the business. That will gain the interest of people who are important within the organization. The best way of starting Analytics in your organization is by asking questions that might even seem simple and too obvious. You need these questions as well as a few facts that you would want to see. Thereafter, you can use the data and check if you can come up with the answers and facts for your questions.
The next step involves making reports from the facts that can be generated for different data slices and time intervals. With that done, a Business Intelligence system has already started to build. When you have reports showing engaging and important facts about the business as well as answers and insights to relevant questions, there is already a valid argument to start the use of Analytics in your organization.
Make a case study
You should try to show a case study to the top management of your organization or even add it to your resume. If your initiative in Analytics doesn’t get enough support, you can start looking for opportunities elsewhere in a relevant domain. With the skills you have already developed, you are likely to get great analytics
Keep yourself engaged in Analytics
To have a successful career in Analytics, you need to keep yourself engaged in it. Make sure you read about Analytics on online blogs, threads, and even try to follow the Analytics companies. That way, you can stay updated with the latest advancements in the world of Analytics. You can keep track of how it is being applied in different domains of businesses. This goes a long way in improving your knowledge of the field.
Career paths you can choose in Analytics
Expert programmer: This involves expertise in programming and knowing every detail of the software. You can become a professional who is needed for software troubleshooting and queries related to programming
Expert Modeller: A good modeler isn’t necessarily a good programmer and vice versa. These two roles require different skill sets and you should choose one that suits you the best.
Solutions Expert: As a solutions expert, you will be helping businesses solve problems by conceptualizing and creating Analytics solutions. These professionals understand the problem and have the expertise of creating the required Analytical framework for solving the problems.
Analytics salesperson: Your job would be convincing prospective clients to use Analytics by showing them how they benefit from it.