Have you ever wondered how much data is used every day on our planet? Today, almost every person has a smartphone and access to the Internet, which leads to more than 200 thousand terabytes of data online every minute. The person who owns the information rules the world. This quote perfectly demonstrates why modern companies should utilize all the possibilities of data analytics.
Today, it is impossible to imagine any large-scale company without data analysts, because this specialist is called the brain of the business. However, what is better – to hire an expert in your team or to find data analytics outsourcing companies for qualified assistance? In any case, these specialists play a key role in the decision making of companies, so they are in demand. To become a skilled data analyst, you must be fully proficient in some programming languages and tools. In this article, we have collected the best 7 solutions required for the job of data analysts.
1. SQL
The first programming language we want to start our list with is called SQL. According to statistics, it is ranked among the most frequently used programming languages in the world. Why is this so, and what are its features? Developers often apply it to create digital products, while data analysts discover SQL from a different side.
Its main advantage lies in its simplicity, as it is easy to learn even for beginners. Thanks to SQL, you can manipulate, modify, and process large amounts of data. That’s why this programming language is considered a must-have tool for data analysts.
2. Python
Python is another popular programming language that is used no less widely than SQL. All reliable development companies such as, N-iX use it to implement data projects. What are the advantages of Python for data analysts?
- Open source code
- Support for advanced data manipulation
- Possibility of A/B testing and evaluation of created hypotheses
As you may have already realized, data analysts can do a lot of work with this programming language. Collect any data, process it, analyze it and show it in the form of graphs. That is all for why modern data analytics outsourcing firms use Python in their daily routine work.
3. Power BI
Power BI by Microsoft functions as one of the most popular business analytics tools. It allows users to develop interactive visuals while sharing analytic insights. Building complete dashboards becomes effortless through Power BI because this tool provides smooth integration between different data sources.
The platform offers a drop-and-drag interface that enables anyone to use the system without extensive technical knowledge. Due to its capability for immediate analysis and complex data structures, Power BI suits organizations of diverse sizes. Its cloud-based service allows users to access data at any time and space thus facilitating teamwork.
4. Microsoft Excel
The next tool you’re most likely already familiar with is Microsoft Excel. Some skeptics claim that it is an outdated software that doesn’t meet the modern requirements for data analysts. This is not true at all, as Excel is considered a timeless classic that is used by many experts, including data analysts.
Generally, there are many Excel leadership skills if you want to successfully manage your business and make the right decisions. Some of them are directly related to data analytics. For example, this tool allows you to easily collect and process large amounts of data using formulas. You don’t need to spend a lot of time learning how to use all the perks of this software.
5. SAS
The statistical analysis company SAS presents a large software system that organizations frequently use to carry out complex data analysis, predictive modeling, and data mining operations. This software delivers important tools that companies across the finance and healthcare industries and academia need.
SAS enables all types of users, including novices and experts, because its simple interface pairs with complete documentation. The application efficiently processes big data sets while supporting multiple programming languages, including SQL and Python.
6. Tableau
What are other useful solutions for data analytics experts? Tableau operates as a market-leading data visualization solution that converts simple datasets into interactive dashboards. There are many benefits why this software is so loved by many data analysts from all over the world. However, we will not cover all of them in this article. We want to briefly describe the features of Tableau.
Users benefit from the straightforward interface because it helps them generate attractive visualizations without complication. Tableau allows data examination through its ability to link Excel documents together with cloud-based databases and other sources. Large datasets function efficiently in the system to deliver quick and interactive visual outputs.
7. Splunk
So, the last tool we want to share with you in this article is Splunk. What is it? Splunk delivers an effective platform that helps users monitor search and analyze machine-generated big data. The program efficiently processes massive amounts of unstructured data in real time for critical IT operation support, security purposes, and business analytics tasks. Here are the main features of Splunk that you should know about:
- Advanced machine learning tools for anomaly detection
- Trend prediction
- Real-time data analysis and visualization
- Scalability features
All the above-mentioned reasons have made it common among companies offering data analytics outsourcing in recent years. Organizations of every scale can use Splunk because of its flexible nature to extract meaningful insights that strengthen operations.
Final thoughts
As you might have already realized, data analytics provides powerful opportunities for companies from different niches. However, professionals must be well-versed in all the necessary data analytics tools. If you don’t want to spend years learning this profession or hiring a new specialist for your team, you should look for outsourcing services.
There are many companies nowadays that provide outsourced data analytics services. Firms like N-iX will help with the collection and processing of large amounts of data to identify issues and trends. This will help you utilize company resources smarter based on real data.
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