 students, just imagine that you as an individual or a business or a company use different social networks now we know that only if we talk about social media then 3, 4, 5, everyone have a facebook page, linkedin page, twitter page will also be there, then they also have mobile network data plus if they are into e-commerce business then they also have their e-commerce data now you have to manage all this data now if we analyze ourselves during last couple of years or lost one or two decades what was our lifestyle, our mobile phone, internet, computer, what was the dependency and how much has it increased now the disadvantage of that is that we do not have time there is so much information, there is something called information overload all of us we are overloaded with the information and same is true with the social media or your social network, the data available there now to analyze it, you need to put a lot of effort for that there is a way I told you that when we saw in the last few exercises that Facebook provides analytics every social media provides its own analytics similarly some other e-commerce websites where you can get data but just imagine 4, 5, 6 different sources of data to analyze it and when there is a company management, they just want everything or all the information in one graph, one spreadsheet, one dashboard management doesn't have time, so management has a lot of responsibilities then there comes this concept that all your data sources and especially social media and internet related data sources you take that data to one place and show your management at one place or any concerned person, first of all your marketing manager, marketing director, chief commercial officer whoever is a stakeholder instead of analyzing all the data and then consolidating it it can be done automatically and if you look at this, this is a real snapshot of someone you have different sources of data from there but everything is different we know this, Facebook, Twitter, LinkedIn, Pinterest or whatever we have all that data within no time you can see that my followers have increased by 5% here 22% likes have increased by 22% it means it is positive but the likes here have decreased, so this is going down one more angle you have put a lot of effort on your marketing or sales and you expect that my likes or my followers should have increased by so much from here you will know that if 5% has increased whereas your effort or your planning was to increase by 25% still this is alarming for you so in this way you have another angle for example its readers are less because we know on Facebook and Instagram there are billions and billions of followers so in that if our followers are only 1500 that might be still alarming in this way you can find out what is going on similarly you have some other numbers within this we get to know what is the age group of a female so in single view you get all this information like how your followers are increasing, decreasing data is decreasing, increasing so what age group are there this is very interesting especially the people of marketing the people of sales or the people of planning for everyone this is very interesting but especially the people of sales and marketing because when they plan their product mix then it is very important for them that they know what age group they should follow first if my age group is here 2 age groups should dominate here 18 to 34 and 35 to 54 if I want to launch a product then what should I do 2 things again there are 2 questions may be this is 48% but their age group may not have spending power they may have less money but this group they are mostly mature people who have profession in life so their buying power may be more plus of course there are other parameters other things you see and that is how you identify these things these are their different trends Facebook, Twitter, LinkedIn, Instagram but this is just to let you know how important it is that 4, 6, 8, 10 data sources bring data analyze it then visualize it but here you can do just with one click even this can happen automatically inshallah you will learn this skill it will take some more time but you will learn it this is an overall how consolidation is now we know that we talked about ETL ELT ER data ingestion in case of big data so now you have those underlying platforms hardware virtual servers network connections they all facilitate you if you have 12 sources social media you have 4 sources e-commerce you have your internal system CRM system, ERP system point of sale all these data you can analyze it on a platform and you can perform your cross function analysis possibilities are endless if you keep a picture in front of you keep it in the scene and the modeling techniques algorithm used they are very small very tiny if we look at the overall environment the world of analytics in that this reading plugin we have seen data loader mapping plugin staging dba these are the things like loading control alarm control all these things are science the entire data pipeline your data pipeline will start from here practically and it will go here the user interface which is visualizing and this is your data source which can be social media, e-commerce and what not I am sure that you understand the social networks what are they what are their benefits how can we analyze the data which things are available which you have to develop and finally an integrated environment is very important for any organization and there is an integrated environment where you can have multiple data sources and its visualization for the management perspective that is very very important