Analyze this

Post on 14-Apr-2017

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Transcript of Analyze this

•Analyze this!

What this is?

● Expose you to use your OWN data better

● Cut your costs and improve metrics

– Tools (open source and free)

– Technqiues (easy to learn and deploy)

– Use Cases ( depends on YOU)

● Target Audience

– Startups and NGOs with medium level data

– Spreadsheet Addicts

– People working there

What this is not?

● Advanced Analytics class

● Shameless self promotion

● Data Science career advice

Tools Demo

● R – GUI – Rattle R Commander

● Python – Ipython

● Spark – PySpark -- SparkR

Techniques Demo

● Means can be deceptive

– Medians and Modes

– Standard Deviations

– Plotting - Anscombe

Techniques Demo

● Decision Trees

– Segment

● Cluster Analysis

– Data Reduction

Use Cases

● Churn- who is leaving us

● Propensity -who is going to convert

● Web Analytics -Oye !

● Social Network – What does SNA do

● LTV ( LIfe Time Value)

● RFM ( Recency Frequency Monetization)

Some free advice

● Dont throw the baby out with the data

– Collect Data Systematically Please

● Data driven decisionmaking will beat your gut

● Statistics will beat your gut

● A picture is worth a thousand excel sheets

● Social media helps in LONG TERM

Thanks

● This is a monthly knowledge sharing free volunteer initiative

● Guruji will accept free beer !