DATA ANALYST

WHAT IS DATA ANALYST?

Data analytics is the process of examining and analysing datasets to draw conclusions about the information they hold. The data analytics techniques help uncover the patterns from raw data and derive valuable insights from it. Data analytics helps businesses get real-time insights about sales, marketing, finance, product development, and more. It allows teams within businesses to collaborate and achieve better results. It is useful for businesses to analyse past business performance and optimize future business processes. Analytics helps businesses gain a competitive advantage.
There are several advantages and limitations of data analytics and in this article, we look at the top 5 benefits & limitations of data analytics. By being aware of them, organizations can take actions to leverage the advantages and modify their way of working to overcome the limitations.

Lot of times decisions within organizations are made more on gut feel rather than facts and data. One of the reasons for this could be lack of access to quality data that can help with better decision making. Analytics can help with transforming the data that is available into valuable information for executives so that better decisions can be made. This can be a source of competitive advantage if fewer poor decisions are made since poor decisions can have a negative impact on a number of areas including company growth and profitability.

Analytics can help analyse large amounts of data quickly and display it in a formulated manner to help achieve specific organizational goals.
It encourages a culture of efficiency and teamwork by allowing the managers to share the insights from the analytics results to the employees.
The gaps and improvement areas within a company become evident and actions can be taken to increase the overall efficiency of the workplace thereby increasing productivity.
With vast amount of customer data, it is practically impossible for organizations to make senses of all the changes in customer perception data without using the power of analytics.

Data analytics can help with enhancing the user experience by detecting and correcting errors or avoiding non-value-added tasks.
self-learning systems can use data to understand the way customers are interacting with the tools and make appropriate changes to improve user experience.
In addition, data analytics can help with automated data cleansing and improving the quality of data and consecutively benefiting both customers and organizations.
vast amount of customer data, it is practically impossible for organizations to make senses of all the changes in customer perception data without using the power of analytics.

Gone are the days where a company could sell a standard set of products and services to customers. Customers crave products and services that can meet their individual needs.
Analytics can help companies keep track of what kind of service, product, or content is preferred by the customer and then show the recommendations based on their preferences.
For example, in social media, we usually see what we like to see, all of this is made possible due to the data collection and analytics that companies do. Data analytics can help provide targeted services to customers based on their individual requirements.