Finding Value from Data :

Write 700- 1000 words covering points below.

Imagine you have the following data from which you which to extract value:

1. Customer to Customer (this is possibly 1 to 1 but could also be 1-many or 1-all chat, assume this is encrypted but not end to end so you can see the content. Stored in a key-value database like Redis.
2. Customer records of purchases, returns, account changes, other relevant customer data. This may span several generations of past services. Stored in a document-database such as MongoDb.
3. Referral and partner/advertisers, and engagement with customers. Stored in a column Database such as Cassandra or BigTable.
4. Data on associations and relations between products, e.g., similarities of type, frequently bought together, possibly other relevant clustering, stored in a graph database.
5. A web server with pages customers view for information with logs etc. in SQL

Describe a strategy to exploit this data to extract value. Value can mean many different things, but for example it could be (not all of these necessarily need data from all 5 sources):

1. Discovering why internal processes are inefficient or failing
2. Identifying products that could be targeted at customers
3. Identify customers who may be likely to reduce engagement or purchasing in future
4. Differentiate future products to better target groups of customers
5. Efficiently manage inventory or asset acquisition/creation to produce mostly profitable products
6. Automate solutions
7. Develop new products that may attract new customers or cause former ones to return