Ten things that make of a Successful Start Up

I learned this by gathering data from reports and found out the following:

1. CEO's that have CEO friends are more likely to succeed with their Start Up.
2. Start ups that pivot up to two times maximum are more likely to succeed
3. CEO's that have not been influenced by traditional ways are more likely to think of disruptive ideas that lead to bright products and services
4. A great team will help in the success of the Start up
5. Failing to expand at the correct time will result in the failure of the start up
6. Ability to differentiate oneself from the other companies.
7. Attending seminars and exposing oneself to trends abroad increases innovation to the start up
8. Listening to customer's feedback is of utmost importance and leads to the overall success of the product and service.
9. Being able to address customer complaints leads to the overall Brand Reputation
10. Targeting the right clients gives better market reach.

Somehow there are other variables that we can look into and be tested through statistical tests such as the Debt Equity of Owners, how many months it took for them to expand (through number of customers or number of orders or number of registered accounts) the Online World is very different from the Traditional Business Setting and somehow changes from time to time through what we do everyday.

Top ten things why I stick to my old phone

These are the top things why I stick to my old phone...

1. I use it only for calls and text messaging
2. thieves don't want it
3. It fits in my pocket
4. battery lasts for five days
5. I don't have to do a selfie
6. I don't have to worry about new software updates
7. It doesn't make me buy new apps.
8. I don't have to worry about WIFI
9. It doesn't need a case and lastly...
10. It goes against trends!

My Old Nokia Phone

Teaching Analytics at Benilde

by Albert Anthony D. Gavino, MBA

BAFBANI class at Benilde

It was my first time to teach students at Benilde, I wasn't sure if I would be able to teach the fundamentals. I read the course syllabus and said to myself its all biased towards IBM, I should be teaching them the fundamentals of it (with some nervousness and uncertainty on how to teach the elective course) I just delved into it!

I made the course out of the box from the typical classroom, we had group activities (from market basket analysis to time series) I did not force them to learn all of it and we had some guest speakers a total of five from all different industries to let them see how it's like in the real world.

To sum it all, the students did learn, they had their IBM-Cognos dashboards ready, they were able to answer the final exams and they were able to get insights on how to use analytics for their advantage. I think I did a good job on it.  At the rate of 500 pesos an hour, it wasn't so bad after all.

Who is Thomas Bayes?

Ever since the Malaysian Air flight has been missing, Statisticians went back to Bayes theory,

I like to put a special event for this day as to remind us who Thomas Bayes was!

The English theologian and mathematician Thomas Bayes has greatly contributed to the field of probability and statistics. His ideas have created much controversy and debate among statisticians over the years.
Thomas Bayes was born in 1702 in London, England. Bayes's father was one of the first six Nonconformist ministers to be ordained in England. (4) Bayes's parents had their son privately educated. There is no information about the tutors Bayes worked with. However, there has been speculation that he was taught by de Moivre.

Still to put it, he was one who revolutionized Statistics with conditional probability and this algorithm is being used by advance software tools in the industry today from B.I. tools to Predictive Analytics.

Dr. Siegel and Predictive Analytics 2014

Predictive Analytics by Dr. Siegel
Cross-Industry, Cross-Vendor Sessions

The only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, high technology, insurance, non-profits, publishing, and retail.

And PAW covers the gamut of commercial applications of predictive analytics, includingresponse modeling, customer retention with churn modeling, product recommendations, online marketing optimization, behavior-based advertising, fraud detection, insurance pricing and credit scoring.

Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predictively scoring customers and other organizational elements optimizes business performance. Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.

The Cross-Vendor Summit:

• Meet the vendors and learn about their solutions, software and services
• Discover the best predictive analytics vendors available to serve your needs
• Learn what they do and see how they compare.

Valuable Colleagues:

• Mingle, network and hang out with your best and brightest colleagues
• Exchange experiences over lunch, breaks and the conference reception, connecting with those professionals who face the same challenges as you.

Creating GEO Maps using Google Fusion Tables

by Albert Anthony D. Gavino

January 28, 2014

I just started teaching a class Fundamentals to Business Analytics every Mondays and Wednesdays from 04:20 to 05:50 pm. I guess there are a lot of topics to cover and yet so little time to teach the students given only 14 Weeks. Anyhow I was able to introduce them to Google Analytics, IBM-Cognos Insight for Dashboards, Google APIs for making pie charts, bar graphs and Motion Charts and just recently Geographical maps using Google Fusion Tables.

Have you Ever tried making a GEO MAP? its quite easy, you just need additional variables such as Latitude and Longitude and this will be mapped to a tab under your google spreadsheet.

Google GEO maps

to use the spreadsheet, I made it available to public consumption and access it here:
https://www.google.com/fusiontables/DataSource?docid=1FKYKWJdCuzHnnjFXkBOapt2aoL-a0e5Q4xpRlho

You may also link it to other tables by joining them and come up with awesome GEO maps.

Google fusion tables may be accessed at www.google.com/fusiontables/

Big Data vs Small Data (why our Stat traditional teachers are against it)

by Albert Anthony D. Gavino

Parametric vs Non-Parametric, Small Data vs Big Data,
Who is the more superior race?

The traditional "parametric" tests, such as t-tests and the analysis of variance, assume the population(s) to be normally distributed; they generally assume that one's measures derive from an equal-interval scale. 

Non-parametric tests involve non-normal distributions, some of which are the following: 

• multi forms of chi-square tests

• Fisher Exact Probability test

• Mann-Whitney Test

• Wilcoxon Signed-Rank Test

•  Kruskal-Wallis Test

• and the Friedman Test

In the field of Big Data, Non-parametric is the higher science and the more powerful one, as noted by one of the UP professors.

We no longer assume that distributions are normal and we can’t use t-tests or ANOVA for that matter.