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February 2016 Blog Posts (7)

Human centered analytics

Engineers, computer scientists and technicians alike have affinity with mathematics, numbers, formulas. They are the kind of people who prefer to know How it works than What it delivers. They are the ones who disassemble an old watch and try to fix it.

5920883-disassembled-wrist-watch-lies-on-table-Stock-Photo.jpg We try to understand why it works. Normal people just wear it.
One of my common mistakes in my first years in the corporate world was that I faced it like it was a college…

Added by Arnaldo Gunzi on February 29, 2016 at 6:00pm — No Comments

Information Quality and Data Governance Survey 2016

What is the current status of data governance in organizations?  How are organizations handling their data quality activities?  Who are today's data quality professionals, what roles are they playing in their organizations, and how satisfied are they with their careers and their compensation?  These are just some of the questions in our 2016 Information Quality and Data Governance Survey.  
The last day to complete the survey is March 7, 2016. Completion time…

Added by Mohammed Younus Ahmed on February 25, 2016 at 6:30am — No Comments

How to Define KPIs for Successful Business Intelligence

Realizing that you can only improve what you measure is a good way to think about KPIs. Often companies want to improve different aspects of their business all at once, but can’t put a finger on what will measure their progress towards overarching company goals. Does it come down to comparing the growth of last year to this year? Or, is it just about the cost of acquiring new customers?

If you’re nervously wondering now, “wait, what is my cost per deal”, don’t sweat…


Added by Eran Levy on February 18, 2016 at 2:30am — No Comments

What is Machine learning & Top 5 skills required to become a Machine Learning expert

What is Machine Learning?

Machine Learning is simply making a computer perform a task without explicitly programming it. If we impose business rules to build a system and not let the machine find patterns on its own, we will not be able to put up with the versatility of the data that comes in.

Let’s explain this with an example. Suppose we manually looked through data to find patterns and coded our systems such that if I fall in the age range of 30-40 and I am a male, I would…


Added by Ivy Pro School on February 16, 2016 at 3:00am — No Comments

What do I learn from developing Analytics in a weird place?

4 years ago, before all these hype on Big Data Analytics, right after my MBA, I dream about the digital future in investment banking. I visualized it in my mind, based on what I learnt in retail banking, and credit risk modeling, I feel that it was a possible dream. A dream that was so fragile that it could be popped one day. Or it could be a super-long journey that leads me via fire and pain or even be embarrassed. Looking back, these are the lessons I learnt:

1. Intra-preneur: It is…


Added by Jeffrey Ng on February 9, 2016 at 8:58am — No Comments

True Data Discovery Can Transform Business Users into Citizen Data Scientists

If you have BI Tools and you have business users who are expected to use these BI tools, you may be frustrated! Are your users struggling to understand a complex system, or are they restricted by dashboards created by IT to satisfy their needs? Is your data integration incomplete or inaccurate. Maybe you think you need business intelligence solution training for…


Added by Snehal Rathwa on February 4, 2016 at 11:00pm — No Comments

SIX Questions and SIX Steps to Through-the-Roof, Human-Centric BI and Metrics-Driven Results

When considering a BI solution, focus on a human-centric approach to software design. The business is comprised of people (not machines) and software solutions must satisfy user needs, rather than focusing on a particular platform, framework or technology. This human-centric approach is critical to creating any kind of software or interface, but especially so when…


Added by Snehal Rathwa on February 4, 2016 at 11:00pm — No Comments

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