let's the sense of technology and marketing so over the last decade there has clearly been this increasing trend towards ecommerce and M commerce that has led to the need for more online marketing more online marketing because of this ecommerce and M commerce has led to more data more data that can be used by the marketing department and the marketing analytics team to try to analyze this data to look to increase sales in the future now this data will come in three types one customer data in terms of names and emails - in terms of financial
data in terms of sales made making rival sales maybe if you have access to that it would be sounds better certain prices or it could be the cost of Acts that cost about at certain times sales at certain times and also operational data it's as a shipping and logistics for that we'd want to try increase efficiency to bring down those costs but more critically is that is a lot of data massive data massive volume aphasia massive quantity of data and also it's coming from different locations it's coming some from social media some from computer programs
that are business across the business some the computer programs are in just one specific department or one specific team so you've got don'tá-- coming everywhere and also it's exponentially increasing the amount of data is getting bigger each year as we have this transports e and M comments so this is where if marketing analytics if the Marty analytics team want to look at this data they might need to introduce big data and what Big Data does is it contains that data and also it structures it in a better way so it's all in one place and
it can be therefore analyzed IBM SAP Microsoft they're examples of big data companies know if you now have this data and you can access this data then you can do certain types of models such as price less is demand in color system and sensitivity analysis correlation extrapolation can do all these types of models which are types of marketing analytics to try and increase the effectiveness of your decision-making which will up your sounds but just the other things you need to think about on the other side of well you might need to have skilled operators which
may require increasing training and therefore training costs to get your marketing analytics team knowing what they're doing with this data also accessibility to this big data can everyone access this data do you need to introduce the crowd you might need to use AWS for that or Raziel for that but that's just more costs but anyway I hope that most of a brief intro in Big Data and technology within marketing and I'll see you next [Music]
