Business analysts focus on data base design (database modeling, at a high level, including defining metrics, dashboard design, retrieving and producing executive reports and designing alarm systems), ROI assessment on various business projects and expenditures, and budget issues. Some work on marketing or finance planning and optimization, and risk management. Many work on high-level project management,…Continue
One of the main differences between a data scientist and a data engineer has to do with ETL versus DAD:
I recently had the following discussions with a number of data architects, in different communities, in particular (but not limited to) the TDWI group on LinkedIn. This is a summary of the discussion, featuring differences between data scientists and data architects, and how both can work together.
Many statisticians think that data science is about analyzing data, but it is more than that. Data science also involves implementing algorithms that process data automatically, to provide automated predictions and actions, such as:
We are now at 9 categories after a few updates. Just like there are a few categories of statisticians (biostatisticians, statisticians, econometricians, operations research specialists, actuaries) or business analysts (marketing-oriented, product-oriented, finance-oriented, etc.) we have different categories of data scientists. First, many data scientists have a job title different from data scientist, mine…Continue
One important goal of data science is to help decision makers make better decisions. Markov…Continue
This article outlines the differences between Agile and Traditional Project Management. APM vs TPM, where APM stands for Agile Project Management and TPM stands for Traditional Project Management. APM focuses on customer interaction and satisfaction, where as TPM focuses on artifacts and Plans and adherence to the Plan. APM responds to and change by using adaptive actions, where as TPM adheres to Change Management and tight control by using corrective actions.
APM deals with…Continue
Added by Atif Farid Mohammad on January 14, 2014 at 11:55am — No Comments
As we've seen how in-place and in-memory work differently, today we are sharing more fundamentals of in-place computing model. This models was designed to solve "Big and Complex Data," - not just about size but more about the complexity. We see many analytic cases today incorporate…Continue
In my latest video blog, I provide an overview of a simple framework that I developed to discuss data. You can view it here:
Added by Venky Rao on January 11, 2014 at 7:21am — No Comments
Enjoy the reading!Continue
Added by Vincent Granville on January 10, 2014 at 10:30am — No Comments
While Banks are getting more and more pressure from customer’s increasing demand, highly competitive market and strict regulations – in the current environment, understanding customer behavior, attitudes and requirements is more vital than ever for banks’ strategic thinking, operational planning and day-to-day customer treatment, according to Ernst & Young.
What Banks can do?
Added by Mousumi Ghosh on January 9, 2014 at 1:01pm — No Comments
With these great challenges come great…Continue
Added by Mousumi Ghosh on January 9, 2014 at 12:56pm — No Comments
Added by Vincent Granville on January 8, 2014 at 11:00am — No Comments
Added by Vincent Granville on January 8, 2014 at 10:27am — No Comments
Interesting article. I have the same point of view, had the same problem and did the same thing:
Provost noticed during his data classes that there weren’t any books he could recommend to his MBA students that taught the fundamental principles. They were either too granular and focused on the math, or else too…Continue
Added by Vincent Granville on January 8, 2014 at 10:17am — No Comments
Here is the USA map visual by state showing what percentage of people received flouride in their water.
Here is the data source …Continue
Added by Nilesh Jethwa on January 7, 2014 at 11:00am — No Comments
Social media and interplanetary mission -- what do they have in common? Well, they have in common the Mars Orbiter Mission, also known as ‘Mangalyaan’. It was launched on 5th November by the Indian Space Research Organization (ISRO). It generated a lot of interest across the globe among millions of people on Social Media networks. In this blog, we analyze how Twitterati reacted to this news.
Asia was by far the most interested in the subject, covering 74% of all…
Originally posted on PR Web. Analytics and big data have influenced every aspect of business in both, traditional and non-traditional sectors across the world this year. While everyone waits to see if data analytics will continue to dominate business news, Jigsaw Academy, a world reputed analytics training academy announces their predictions for the industry…Continue
Added by Gaurav Vohra on January 6, 2014 at 8:33pm — No Comments
Predictions are in our DNA. Millions of us live with them daily, from checking the weather to reading daily horoscopes. When it comes to Big Data, the industry has shown no shortage of predictions for 2014. In fact, you might have read about insights on women in data science, ambitions for Machine Learning or a vision for the consumerization of Advanced…Continue
Added by Venky Rao on January 4, 2014 at 11:43am — No Comments