Data Management and Analytics

The terms Data Management and Data Analytics are in relation to each other. Hence, it is of no surprise that Data Management is the one that plays a more specific role in Data Analytics.

Let us know about both the terms in detail:

Data Management

In simple terms, data management is the process of gaining and making data ready for some purposes in an organization. Data management allows the officials of an organization to compare, distribute data in the way that they want and derive the necessary conclusions.

Likewise, data management is the life-cycle that is performs unique data processing tasks in order to obtain information of an industry, organization or any company. In other words, data management is also called data integration technology that is capable of producing ideas for the future.

Data Analytics

Data analytics is the main and most essential part that impacts the decision-making process in any organization. It is helpful in analysis of data, knowing about all the facts, statistics and data modeling that assists in making an appropriate decision.

Data analytics is the representation of productivity and processes of any organization in a qualitative and quantitative way. The benefit? It ensures and proves the business growth rate of an organization.

Moreover, data analytics is able to produce many facts and figures that contribute in calculating the business standards.

How Does Data Analytics Help In Growing a Business?

In the modern world, however easy it may seem, it is a big challenge to grow a business. The dedication to the business must be phenomenal. Making a business famous or getting it to be known all over is a lengthy task. This includes collecting information and ensuring that all the information sparks an interest in the customers. But the question is HOW?

Here are some ways that Data Analytics can assist in growth of your business:

Plan the Growth

With the help of business analytics, one can make visual representations including dashboards. These allow interaction with results possible and also, the information can be manipulated to create one’s own expansion plans. The plans can be used to either build network so that business can be expanded as well.

Find Your Audience

How can a company test the audience that they have? Well, it is easy, by Data Analytics, the possibilities of audience being found is very easy. The company has to make sure that research is carried out by using social media or any quantitative methods. The data gained from the research can be researched for competition, or for the company’s own benefit. As a result, the company an narrow down the areas of service that it provides.

Have a Business Plan

Nothing is possible without a proper plan. In order for a business to grow, one cannot just make a set of steps and start a business. This will definitely lead the business to loss rather than profit. In order to have a proper plan, proper research is necessary. The research can then be used to garner results. Finally, the results can be used to make plans that lead the business to success. Doing this, one can become a business planner from being a data scientist. Also, proper planning means proper target audience.

Design a Marketing Campaign

Once target audience has been identified, then right messages go to the right audience without being diverted. Also, the details for branding can also be narrowed which significantly reduces the workload. Business analytics assists a company to use their own data so that proper business development decisions can be made. These decisions, in return, ensure that decisions will be made that will allow the business to be grown with confidence.

Prediction and Action

Once a business has a thorough understanding of how to manipulate data that the research extracts, then prediction is possible. This prediction is used in order to optimize a business and create its identity so that it stands out from the crowd. Challenges can be taken that allows more chances for the business to grow and taken seriously. The challenges are quickly and necessarily shown as per the requirement and self-improvement is also seen in many steps along the way.

What Type of Software to Use for Data Analytics

It is a question that is in the minds of all: What type of software is necessary for data analytics?

The answer may be available in many sites, but those answers may be vague and unclear.

Data analytics requires step-wise collection of data and also, analysis of the collected data is also a tough decision to take. However, if looked at closely, the software that can be used are not so tough to use at all.

What are the software that can be used for Data Analytics? Here are some:

Matlab/ Python
- For Data Analytics, it is important to understand the scripting languages like Matlab and Python. These languages have the library that contains all the information to develop another small software for data collection and analysis.
SQL/ Hive/ Pig
- The querying languages like SQL and Hive store data and perform analysis on the data. Also, the results of data analysis can be shown in a tabular form. This tabular result ensures that there is no difficulty in reading of the data.
Excel
- The most easy tool that can be used in data analytics is MS Excel. This tool allows the user to convert any collection of data to be shown in a tabular and also a diagrammatical form. The diagrams can be used to show the progress of the data that has been collected.
SAS/ R/ SPSS
- Programming languages like SAS and R can be very handy in data analytics. These languages allow the user to code any related data sorting algorithm and analyse the data again.
Javascript/ XML
- When it comes to analysis of data and representation of the collected data, it is better to have Javascript installed. This allows the objects to be shown in the way the user wants to be shown and also, the selective texts can behave in such way as well.