In this era of advanced technology, the growth of businesses lies in accurately predicting and forecasting business patterns, courtesy of www.bestusacasinosites.com. Your ability to study data and rising trends to tell what’s attainable in a company is a huge part of business intelligence.
A business intelligence (BI) analyst works with companies to examine competitors and understand market seasons through data analysis. So, it’s a plus if you understand business patterns and have strong consulting abilities. If you want to scale through, here are four skills to learn to be a business intelligence analyst, curated by experts from jackpot jill.
1. Data Mining
A core responsibility of a business intelligence analyst is data visualization, which is only possible if you understand how to extract and mine data. A data mining skill would help you understand where to extract data relevant to the company you’re working for.
Normally, data is always available in large data sets, but with data mining skills, you can extract useful information, clean it up and make it available. The three basic methods of data mining are classification, clustering, and association.
During data classification, you divide large data sets into categories that include public data, confidential data, local data, and internal-only data. The second part of data mining is data clustering. Say you extracted public data. You have to further divide them according to their similarities.
2. Data Preparation
Once you understand how to mine data, learning how to prepare this data is next. Even though data mining requires that you put similar data together, you still need to organize and structure the extracted data. You want to turn that raw data into analytics-ready data because you can only use organized and structured data in business intelligence.
You’ll also need to be proficient in the data structures that all programmers should know because business intelligence requires some programming knowledge. As part of data preparation skills, you need to learn how to filter, clean, and transform data.
These processes will help you identify errors and retrieve and store data, giving you an edge in confirming data to make informed business decisions. It also saves your company from producing unreliable analytics results.
3. Business Knowledge
Having business knowledge and understanding of your company’s business model gives direction on how to channel company resources in the right direction. Business intelligence analysis goes beyond gathering information. You’ll need to understand how to use cleaned data to produce the results a company needs. These should be actionable information for making the right decisions.
With vast business knowledge, you can support a company’s vision by providing consultancy on leveraging market trends to improve revenue. These skills also help you interpret data in a way that aligns with a company’s vision and mission. So, you’re not compiling chunks of data. You visualize them and arrange them in a way consistent with business growth.
4. Programming Languages
Programming stands at the core of business intelligence analysis. You’ll need basic knowledge of SQL programming to help you pre-aggregate, filter, and only select the data necessary for your analysis. With knowledge of SQL queries, you can create views (rows and columns of data) of a few thousand, lessening the amount of data your BI tool has to work with. This process makes analysis easier and faster.
Therefore, learning basic SQL commands and queries is an important skill for business intelligence analysts. SQL programming language is also useful for data extraction, data quality, data validation, and creating analytical reports. In addition to the SQL programming language, you also need basic knowledge of Python and R programming for data visualization.
