If you’re inundated with data and considering whether you need business intelligence, this article could help. Many businesses soldier on with inadequate tools because they’re not sure how or why business intelligence solutions deliver value.
We’ll look at the ways BI can help your business – and when it’s time for you to implement a BI solution.
First let’s look at what business intelligence is all about. You’ll find lots of definitions about what BI really is, but there’s no real mystery about it. Business intelligence simply describes the transformation of your raw (unstructured) data into something meaningful. It’s achieved using BI software.
It’s probably more helpful to explain the benefits of business intelligence. Most organizations these days realize that they’re sitting on a on a ‘gold mine’ of data – such as customer transactions, how people are behaving online, financial, and HR data.
There’s almost unlimited information that can be use…
More than 80% recruiters we spoke to admitted they check a candidate’s LinkedIn profile before calling them for an interview. That’s right – we are living in the middle of a digital revolution. Simply relying on a 1 or 2 page resume is not enough. The recruiting firm wants evidence to back up the claims in your resume.
The good news – there’s no dearth of options to do this: You should have a LinkedIn profile. It should be updated and optimized according to the role(s) you’re applying for. Applying for a data scientist role while showcasing a non-technical background will not give the correct impressionCreate a GitHub account. Programming is a vital cog in the data science machine. Uploading your code and projects to GitHub helps the recruiter see your work first-hand. Nothing more convincing than a well-documented code!Regularly answer data science relevant questions on Quora. This conveys your understanding of the subject matterStart publishing your learning in blog form. Learned som…
A Complete Tutorial to Learn Data Science with Python from ScratchKUNAL JAIN, JANUARY 14, 2016
It happened few years back. After working on SAS for more than 5 years, I decided to move out of my comfort zone. Being a data scientist, my hunt for other useful tools was ON! Fortunately, it didn’t take me long to decide, Python was my appetizer.
I always had a inclination towards coding. This was the time to do what I really loved. Code. Turned out, coding was so easy!
I learned basics of Python within a week. And, since then, I’ve not only explored this language to the depth, but also have helped many other to learn this language. Python was originally a general purpose language. But, over the years, with strong community support, this language got dedicated library for data analysis and predictive modeling.
Due to lack of resource on python for data science, I decided to create this tutorial to help many others to learn python faster. In this tutorial, we will take bite si…