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Jasmine Baretto liked saurabh ajmera's blog post Introducing Analytics To A Product
Oct 4
saurabh ajmera's blog post was featured

Introducing Analytics To A Product

With more and more people getting conversant in analytics, its demand in every field becoming more pronounced. Product is no different. It is almost inevitable to introduce analytics in some format or other in the products you own. However, before you open the gates to this world of magic, there are three questions you should try answering.These three basic questions…See More
Oct 4
saurabh ajmera's blog post was featured

The other key slide of your quarterly analysis

Profit analysis is an integral part of analysis drills, which are conducted at regular frequency. Both finance and marketing departments are equally engaged in this activity — though both have a different approach to it. Variance analysis is a…See More
Jul 2
saurabh ajmera's blog post was featured

Data scientists, you can’t not-know APIs & Dockers

We must have read tons of literature on developing analytics models and finding information/insights out of data blob. Majorly this activity can run stand alone on your system, without any compulsion to interact with other machine. But, as the businesses are facing ever rising competition, the surmounting cost of maintaining engagement and the negative slope of realized profits, productization is not any buzz-word which is yet to see the light of day. It is happening and it is here to stay.…See More
Apr 20
saurabh ajmera's blog post was featured

Break That Data

Even though processing and storage have become cheap and enterprises are adopting high performance analytics infrastructure, still in majority of cases the analytics study is constrained by local system. Multiple scenarios like working on a proof-of-concept in a small enterprise which can’t afford investing on heavy analytics infra, academic projects, hobby projects… the list goes on and the common factor here is system constraints.Though we can’t escape the scenarios where we are endlessly…See More
Jan 30
saurabh ajmera's blog post was featured

Calculating Price Elasticity Through KNIME

As per Wikipedia, Price Elasticity of Demand (PED or ED or PE) is a measure used in economics to show the responsiveness, or change, of the quantity demanded of a good or service to a change in its price when nothing but the price changes. In more precise business terms, it helps in finding those products which have their sales more/less susceptible to price changes. As we know, the demand is inversely proportional to price, it is quite imperative to know this information for optimising sales…See More
Sep 14, 2019
saurabh ajmera updated their profile
Sep 13, 2019

Profile Information

Job Title:
Product Manager
Seniority:
Manager
Job Function:
Data Science, Machine Learning, Business Analytics, BI
Interests:
Networking

Saurabh ajmera's Blog

Introducing Analytics To A Product

Posted on October 4, 2020 at 1:30am 0 Comments

With more and more people getting conversant in analytics, its demand in every field becoming more pronounced. Product is no different. It is almost inevitable to introduce analytics in some format or other in the products you own. However, before you open the gates to this world of magic, there are three questions you should try answering.…

Continue

The other key slide of your quarterly analysis

Posted on June 29, 2020 at 6:00am 0 Comments

Profit analysis is an integral part of analysis drills, which are conducted at regular frequency. Both finance and marketing departments are equally engaged in this activity — though both have a different approach to it. Variance…

Continue

Data scientists, you can’t not-know APIs & Dockers

Posted on April 20, 2020 at 7:00am 0 Comments

We must have read tons of literature on developing analytics models and finding information/insights out of data blob. Majorly this activity can run stand alone on your system, without any compulsion to interact with other machine. But, as the businesses are facing ever rising competition, the surmounting cost of maintaining engagement and the negative slope of realized profits, productization is not any buzz-word which is yet to see the light of day. It is happening and it is here to stay.…

Continue

Break That Data

Posted on January 28, 2020 at 3:44am 0 Comments

Even though processing and storage have become cheap and enterprises are adopting high performance analytics infrastructure, still in majority of cases the analytics study is constrained by local system. Multiple scenarios like working on a proof-of-concept in a small enterprise which can’t afford investing on heavy analytics infra, academic projects, hobby projects… the list goes on and the common factor here is system constraints.

Though we can’t escape the scenarios where we are…

Continue

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