Latest

20
Jul

What is Metric Layer? Why is it increasingly becoming a part of the modern data stack?

A system providing a standard and consistent set of definitions of metrics on top of the data warehouse.
2 min read
19
Jun

14 Rules of persuasive storytelling for pre-sales consultants

Know your audience, Adapt your vocabulary to match your audience, Make client care, Structure your story - Minto’s Pyramid Principle, Demonstrate competence & Establish your credibility Be Specific with a flexible framework in place, Appeal to the head, heart, and hand
6 min read
16
May

A framework to find your true calling that gets founded the Amazon

How to understand what you should do in life? Every minute spent doing something other than what you love the most today is a minute you will likely regret when you’re old.
1 min read
13
Mar

How to get promoted fast in an engineering career?

Do you want to excel in the engineering career? Surprisingly, this has very little to do with technical skills. To be a high-leveraged engineer, learn meta-skills like better communication, relationship management, and business understanding once you perfect the basics of your technical skills.
1 min read
21
Feb

How to send complex technical proposal to a prospect within 5 hours under extreme uncertainty

I will give you a framework on how to engage clients with minimal effort, it's quite normal that you have to send the 1st proposal to a client with very limited information. The proposal needs to be directionally right and open-ended enough to incorporate new details at a later stage.
5 min read
05
Feb

A profit growth framework for IT services firms

IT services growth does not only mean getting more business. There are other profitability levers that should also be considered like not just to grow in volumes but also think about the rate of profitability per resource.
3 min read
31
Jan

AI Mindset for a successful enterprise data transformation

The adaptation of the AI mindset and an iterative AI journey will ensure that AI investments are properly executed and more resources are put into the bets that are proven to work in the MVP phase.
5 min read
20
Jan

The hunter(data scientist) will become the hunted (automated) sooner than we thought

Data scientists are getting automated faster than the rest of the engineers
1 min read
20
Jan

How AI solution’s maintenance is different from traditional software

IDC predicts that up to 88 percent of all AI and ML projects will fail during the test phase[1]
3 min read
20
Jan

Its critical to do business and technical assessment of the AI solution before(not after) starting the implementation

Imagine that you are either * The Data Scientist, who is going to implement the solution, will require technical feasibility and
2 min read