COOK DATA BEFORE SERVING
Do you know Data is cooked before serving…………..
What happened? Surprised!!!
I am not joking ……………. Data is just like a raw food material, which further processed to be served brilliantly in the form of information.
And
this process of making DATA further INFORMATION is typically known as
Data Analytics. It’s a tedious process as gathering data is one
blockade and then converting it to information is another Roadblock.
Human
Psychology evokes it to always be curious about gathering new
information, but while going through this course we many of the times
forget to keep eye on authenticity and credibility of the resource from
where we are captivating the information.
So dear friends it’s the first step: Always gather information from a genuine resource.
Now let’s get friendly with few keywords
Data Analytics
• Data
analysis is a process of gathering, modeling, and transforming data
with the goal of highlighting useful information, suggesting
conclusions, and supporting decision making.
• Data
analysis has multiple facets and approaches, encompassing diverse
techniques under a variety of names, in different business, science,
and domains.
Market Research and Analysis
• Market research is a part of Data analytics and used for discovering what people want,need, or believe.
• It can be done to find out Market information, Market trends, Business needs etc.
Question here is that WHY and HOW we are going to do a Market research and WHAT would be the need and repercussion?
Friends
as we know Market Research is a daily routine work for any MBA
graduate, Aspirant, Market Research Firms, Students, Business Analysis,
and Research Analysts etc.
But
have you ever thought of the vast Process behind deriving any
information…. How it has arrived? Who gave the Data? Who processed it?
Who checked it? Who will confirm that the information is right or
wrong?
All this work is done on the daily basis by people around us …….. As mentioned above. I have drawn a Process from my experience in Market research and I rigorously follow this in each and every assignment I take upon.
After understanding all this we can move further and think that WHY we need to do a Research? For whom we are doing it? HOW we will do it? What is expected out of it? And so on…..
I will explain in terms of a company/Organization ……………Here it is…..
Why
• What is happening in the Current market?
• Preparing to enter a new market?
• Launching a new product/service?
• Starting a new business?
• What are the trends?
• Who are the competitors?
• How do consumers talk about the products/Solutions in the market?
How
• Defining the Problem or Need of Research
• Defining Target Audience
• Defining Scope of the Research
• Developing the Approach
• Obtaining data that is specific to the problem from Web, In-house Documents, Concerned People/Departments
• Analysis and Interpreting the data
• Fostering Ideas and Problem solving
• Presentation of Outcome
After getting answers for the above questions we should understand and follow a Process shown in the following Steps
Step1: Understanding the Problem/Need of Research
Step2: Defining target audience
Step3: Defining Scope of the Research
Step4: Developing the Approach
Step5: Data Collection---------------------------------RAW MATERIAL
Step6: Perform Data Analysis-------------------------COOKING
Step7: Fostering Ideas and Problem Solving--------DERIVING INFORMATION
Step8: Reporting and Presentation
Common Researches we do at Organizational Level
• Product Specific
• Client Specific
• Market Specific
• Vendor Comparison Analysis
• Product/Solution Features Comparison Analysis
• New Business/Market Research
The main strength of the research is the cooked data…. Means information
What output we got? How we are going to present it?
Mainly we present the derived information in the form of following.
Deliverables
• Presentations
• Word Doc/Reports
• Excel Spread sheets/Comparison Matrix
• Diagrams
Do you remember I was talking about the credibility of the data and information we get; apart from that the most important thing is to religiously follow the Guidelines and checklist. I have prepared the following Guidelines and checklist for your reference. It can me modified as per need of the business or individual.
Checklist/Guidelines
• Scope of the research
• Use of Standard templates, Color Themes
• Cross Verification of Data - Reliability of Data sources and websites
• Quality Of the Data/Information/Deliverables
• Mention Reference links in the deliverables
So what would you say………….Doesn’t data cooked before being served???????
I believe you have got the answer of the above question and now onwards you will be cooking data before serving……….
Warm Regards,
Vipul Sood
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