How Data Visualization Helps Data Analysts Make Effective Decisions Faster

In most organizations, the challenge is not the lack of data, but the excess of data. Companies have such a large quantity of data that it is difficult for them to organize and use it as a tool to prioritize activities. A large amount of data is often spread across different departments, including marketing, and sales.

Proper data visualization through algorithms can help a company reason through chaos. It can filter the data and digest it in a way that detects the right prospect at the right time. It also provides the rich context needed to greatly improve the efficiency of a company or a segment of it, like for example the sales team. 

Data Analysis for Effective Decision Making

Data visualization helps data analysts give an explanation and rationale as to why a recommendation is made, as well as contextual data from relevant applications, such as customer relationship management, which allows an individual to act on the recommendation more intelligently and effectively. 

Intelligent data analysis throughout proper data visualization allows the breakdown of information based on specific criteria. When a proper data analysis is carried out, not only is time saved but also, companies are able to support their decisions on facts and can be confident that they are making the most effective strategy.

Role of data analysts

Data analysts are in charge of examining a set of data with the objective of deriving conclusions in order to make decisions or simply to expand knowledge on a specific topic for which they contain information. Almost any industry or company can profit from proper data analysis if they have the required means of data visualization.

Data analytics is a key tool that helps recommend products, services, actions, or decisions that address a specific demand. Data analysts also extract value from data thanks to visualization tools. Today many universities worldwide offer data analytics courses and data visualization courses that help people become experts in delivering commercial strategies for many industries.

Why Imarticus for data analysis online course?

Becoming a data analyst will open many doors to an enormous number of possibilities in many industries. It will give you professional analyst skills, new ways to make key data-driven decisions on aspects like how, when, or where to deploy resources, or how to engage prospects and leads more effectively.

You will become of value to the industry, as you will be key in eliminating their reliance on guessing outcomes and relying on gut instincts to make critical decisions. You can subscribe to a data analytics course offered by us at Imarticus and become a well-profiled professional in this new and demanded field!  

best data analytics certification courses in IndiaAt Imarticus we offer a Program in Data Analytics and Machine Learning that has been designed for fresh graduates and early career professionals that are seeking to pursue a career in Data visualization and Analytics.

This industry-designed curriculum is offered in partnership with many industry leaders, which will be key in providing you with real-life case studies, via our data analytics courses, that will train you for the real world during your formative years. Once you have received your data analytics certification, we will guide you through interview opportunities. Come and join our Imarticus team today! 

Conclusion

The value of data visualization for data analysts is increasingly obvious when compared to the past when there were no systematic methods to determine the next action on any given customer or even of a company. Thanks to professionals with data analytics certification, today companies are able to gauge the true impact of the data, by tracking metrics against previous practices and environment, in order to make effective decisions faster.

Different Ways Data Mining Helps Marketers

What is Data Mining?

Everything that we do leaves data behind. That data is ultimately used to extract useful information. Data mining is a technique of analyzing that large amount of data and making use of it in marketing strategies by determining the correlations and patterns among them. Budding industries tend to use data mining at a great advantage by using the information uncovered to target audiences accordingly.

It is highly advisable to have a data analytics certification through a data mining course to become a professional in this field.

Steps of data mining –

  1.     Extract and transform the information collected
  2.     Digitally store and manage the data
  3.     Analyze the data by using different data mining techniques
  4.     Display the data in a useful way, like in a graph or number chart

Frequently used data mining techniques

Data mining can turn out to be a highly effective technique if done correctly. Here are some basic techniques that are quite common:

  • Observe a pattern – Simple line graphs and bar charts can be used to represent the data collected so it becomes easier to recognize certain patterns and intervals in them.

  • Classification – Classification is a more detailed data analysis technique. It helps in classifying data further into groups or clusters for better analysis.

  • Association – This helps in finding a hidden pattern. This technique helps you unfold links between two different types of variables.

  • Regression – This technique is used to spot the relationship between different variables depending on the presence of another factor. It is a form of planning and modeling.

  • Outer detection – This technique is also known as an outlier technique or analysis that helps in finding variables in a data set or group that do not match the pattern.

  • Prediction – As its name suggests, this technique helps in analyzing past or similar data to predict future patterns or events.

Benefits of data mining

Data mining can add great value to a business that is why marketers interested in growing a business must understand its benefits.

  • Marketing campaigns are more optimized –. Data mining is a great way to analyze marketing campaigns and which methods will help in generating more engagement and leads.

  • Helps in making better business decisions – The information and insights gathered from data mining can help you make better decisions for your business.

  • It will help you detect any kind of fraud – Data mining in business can help in detecting any kind of fraud or potential fraud like fake money transactions.

  • Improves external market performance – It helps to understand and predict employee behavior which in turn helps in improving external market performances.

Data mining is the future

Data analysis and management is a huge source of employment even today. Data mining professionals can work individually or as employees of a company to evaluate important information and discard the ones that are not reliable.

This requires detailed knowledge of understanding data. This knowledge can be acquired through data mining courses in India that are available online. Since every company is going digital now, reliable data analysts will be in a lot of demand so it is better to start now.

Analytics & Sports – How Data Analysts Be Asking in The Glory in The Sports

Sports have seen their fair share of analysts and pundits ever since the first game was played. Traditionally, the analysis made by these pundits and analysts is based on hunches rather than concrete mathematical and statistical foundations. Even if they tried to factor in the statistics, there is no way that a human brain would calculate the entire complex, behind the scene calculation, which goes into a typical mathematical or statistical model.

So, it was thought that data analytics in the sector of sports had reached saturation. It all changed with Machine Learning and Artificial Intelligence.

In case you are not aware, machine learning and artificial intelligence are the fields that employ complex statistical models with a colossal amount of data to analyze the data, derive insights, and make predictions from it. So, when these advanced modeling techniques are fed the data generated from sports, we derive more accurate results, wisdom, and forecasts than all the pundits and legacy sports analysts.

Let us now see precisely what makes data analysis so lucrative in this sector.

How is sports analytics changing the paradigm?

There are only two ways in which sports analysis is being used in today’s paradigm. One is when the sports teams ask for data analytics, and the second is when it is used for sports betting.

data analytics certification course in IndiaThe first step of the Data Analytics course in sports involves mining various data like stats of any individual player, match conditions, and the teams’ recent performances. Then, all the information is passed down to Data Analysts.

It is their job to run machine learning models on this data to generate new insights. Now, these insights could be as simple as whether the team would win the next match or not.

To something more specific like, will Ronaldo be able to score his third goal with his left foot in the 69th minute?

Analytics is not limited to in-game events. By analysis of the data generated by the fans, the team would be able to cater to their needs better and thus improve their following. The sports team can also use data analysis to enhance merch sales.

How are big teams using data analytics?

While there are many examples available out there, we choose the ones from football.

Manchester United: We all have seen the Red Devils wear the AON branded shirts for a long time now. ManU has been using AON’s data analysis to stay ahead of the curve.

Real Madrid: This might come as a surprise to many, but Real Madrid has partnered with Microsoft (the Azure platform owner) to provide the Madridistas with all the analytics they need. They use Microsoft services to plan out the training, performance, and even fitness regimes of their players.

Conclusion:

There are a lot of apparent benefits when it comes to using data analytics training in the paradigm of sports. We have barely touched the surface here. However, we hope that we were able to provide you with some new information about data analysis in sports today.