MBA Entrance Exams Updates on Whatsapp & Email !Get Updates Now !
Amrut Mody School of Management - Admissions Open
Last Date to Apply - 14th April 2017
Vels University - Admissions Open 2017-19 for MBA Programmes
LM Thapar School Of Management - GD and PI of candidates shortlisted on 1st April 2017, Delhi
Jaipuria Institute of Management Excellent placement package with highest of 16.5 lacs per anum Apply Now
GITAM School of International Business Admissions Open PGP 2017-2019,PGDBA 2017-2018 Apply Here
CII School of Logistics - Apply for MBA in Supply Chain Management
SSIM - Apply for PGDM Admissions 2017
Adani Institute of Infrastructute Management - Last date of receiving filled-in applications is March 16, 2017
Apply at IBS Business School Nine Outstanding Campuses, One Amazing College
IFIM B School - Apply for Two year full-time PGDM program
GL Bajaj Institute of Management and Research - PGDM Admissions 2017
Apply Now !
Jaipuria Institute of Management - 21 years of excellence in management education Apply Now
Adani Institute of Infrastructute Management - AICTE Approved 2 Year Full Time PGDM Apply Now
Admissions open at Jaipuria Institute of Management for 2017 - 2019 Batch!
GITAM School of International Business - Last date to submit the online application form February 18, 2017
Enroll into the Global Management Programme , SPJIMRGMP and study in Top Business Schools of Europe
FORE School of Management Admissions open for PGDM, PGDM - IB 2017-19 Batch
Apply for PGDM program
Apply Now to GSIB
Published : Tuesday, 20 September, 2016 10:45 AM
The amount of data circulating around in the world is mind numbing. Everything seems to create data or be dependent on data,a country depends on data for calculating GDP and taking decisions accordingly, a business uses data to take various decisions regarding investments, clients, employees and other areas, a person uses data to make day- to- day decisions regarding household budgets, shopping, future events and so on. With all kinds of data floating around, analysis becomes a crucial aspect, on which the conclusions depend.
Managing data is a difficult task, as also, interpreting the data to derive the relevant conclusions. As interpretation of data involves some subjectivity, it is possible to streamline the process and make it effective.
Before beginning with data interpretation, it is essential to be clear about the aim of the exercise. The things that you want to accomplish through the data under consideration, what is it that you have collected the data for and so on. Without a proper aim, all the data you collect will be meaningless and seem to be collected at random. Having a clear aim and purpose precedes data collection.
2. Study the data
The next step after listing the aim and collecting data is to study the data thoroughly. Data might involve numbers, statistics, graphs, percentages, opinions and so on. Often, this information will be quite dense and would require carefully reading.
3. Interpret the data
Once you study the data thoroughly, the next step is to begin interpreting the data. This step is where you begin to make sense of the data and add meaning to it. This is a specialised job, as wrong interpretation of data can cause a lot of damage to the company or the individual. Data interpretation should be done using all the relevant resources, mathematical tools at hand. The objective is to extract out of the data all the possible and relevant information, for instance, governments base important decisions such as subsidies, disinvestments, interest rates on data and its interpretation.
4. Draw analogies
Meaning can be added to the data and the data can itself be simplified when appropriate analogies are drawn to make sense of the data and to adapt data to the real world more strongly. Analogies also help to enrich the data and understand it better.
The last step in this process after the analysis of data is to use the analysis to alter, persevere, modify the current practices so that you are able to shape your future positively. All the analysis will mean nothing if you do not implement the conclusions you draw from the process. The process was started to take stock of things and use the results to improve the present and the future and even rectify errors.
Data is everywhere around us. The use of all the data depends on how we interpret and gather the relevant meanings from it and how we use it to make decisions and choices that affect not only the present but will also affect the future.
Stay informed, Stay ahead and stay inspired with MBA Rendezvous