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Prashanth Southekal, PhD
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  • Calgary, AB
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Prashanth Southekal, PhD's Discussions

Validation of the Prediction Model

Started this discussion. Last reply by Vincent Granville Aug 16. 3 Replies

When there is a prediction model,  apart from R-square, residuals etc. what are the different ways of performing validation of the prediction model? Basically,what are the different ways (apart from…Continue

Regression Analysis

Started this discussion. Last reply by Wayne G Fischer Feb 26, 2018. 10 Replies

I am doing some regression analysis. Some of the independent variables are continuous while some are categorical. The dependent variable is continuous. Can you please help me on which regression…Continue

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Prashanth Southekal, PhD's Page

Latest Activity

Tim Matteson liked Prashanth Southekal, PhD's discussion Validation of the Prediction Model
Aug 16
Vincent Granville replied to Prashanth Southekal, PhD's discussion Validation of the Prediction Model
Aug 16
Wasim replied to Prashanth Southekal, PhD's discussion Validation of the Prediction Model
"Model evaluation and validation measures vary depending on the modelling technique you use. "
Aug 15
eric Shi replied to Prashanth Southekal, PhD's discussion Validation of the Prediction Model
"when you validate a model, you should first consider model use fit the intended business purpose or not. Is the method used appropriate for the question, is the data appropriate for the model, is the model parameter estimation consistent with…"
Aug 15
Prashanth Southekal, PhD's discussion was featured

Validation of the Prediction Model

When there is a prediction model,  apart from R-square, residuals etc. what are the different ways of performing validation of the prediction model? Basically,what are the different ways (apart from R-square, residuals etc.) where you are validating of your Analytics prediction model given that the real/actual values will be available only in future ?See More
Aug 12
Prashanth Southekal, PhD posted a discussion

Validation of the Prediction Model

When there is a prediction model,  apart from R-square, residuals etc. what are the different ways of performing validation of the prediction model? Basically,what are the different ways (apart from R-square, residuals etc.) where you are validating of your Analytics prediction model given that the real/actual values will be available only in future ?See More
Aug 12
Prashanth Southekal, PhD posted a blog post

Data Standardization: The Core building block for Data Quality.

Data for Business Performance is using data in operations, compliance, and decision making. However, in most cases the available data in business enterprises is of poor quality. An article in Harvard Business Review (HBR) says – just 3% of the data in a business enterprise is of good quality. In this backdrop, what can be done to improve data quality? While there are many solutions to improve data quality, one option is to capture the important data entities i.e. master data using data…See More
May 9
Prashanth Southekal, PhD's blog post was featured

Data Standardization: The Core building block for Data Quality.

Data for Business Performance is using data in operations, compliance, and decision making. However, in most cases the available data in business enterprises is of poor quality. An article in Harvard Business Review (HBR) says – just 3% of the data in a business enterprise is of good quality. In this backdrop, what can be done to improve data quality? While there are many solutions to improve data quality, one option is to capture the important data entities i.e. master data using data…See More
May 9

Profile Information

Short Bio
Prashanth Southekal brings over 20 years of Data and Information Management consulting/working for companies such as SAP AG, Shell, Apple, P&G, and General Electric. He has published two books on Information Management including the most recent "Data for Business Performance".
Professional Status
Executive Management
Years of Experience:
20
Your Company:
DBP-Institute
Industry:
Consulting
Your Job Title:
Managing Principal
Interests:
Finding a new position, Networking, New venture, Recruiting, Other

Prashanth Southekal, PhD's Blog

Data Standardization: The Core building block for Data Quality.

Posted on May 8, 2019 at 1:30pm 0 Comments

Data for Business Performance is using data in operations, compliance, and decision making. However, in most cases the available data in business enterprises is of poor quality. An article in Harvard Business Review (HBR) says – just 3% of the data in a business enterprise is of good quality. In this backdrop, what can be done to improve data quality? While there are many solutions to improve data quality, one option is to capture the important data entities i.e. master data using data…

Continue

Can Lack of Data Always Provide Valuable Insights?

Posted on March 18, 2019 at 3:30am 0 Comments

Can Lack of Data Always Provide Valuable Insights?

Prashanth H Southekal and Matthew Joyce

 

Today, data – both structured and unstructured, is seen as the most valuable business asset to solve problems and improve productivity.  An article in Forbes says every company today is a data company! However, we…

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Demystifying the Term Actionable Insights in Analytics

Posted on January 14, 2019 at 10:30am 0 Comments

Demystifying the Term Actionable Insights in Analytics 

Prashanth H Southekal and Matthew Joyce

These days, the term Actionable Insights has become one of the most common terms used in Analytics projects. It has been used so much that it has almost lost its relevance and meaning today. So, what exactly is Actionable Insights and how can you…

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The Key to Unlock Digital Transformation

Posted on November 12, 2018 at 5:30pm 0 Comments

Digital Transformation is exploiting digital technologies and data to enhance the firm’s business model. Unfortunately, a Forbes study says that 84% of the Digital Transformation initiatives fail. There are many reasons for this and one important reason is tied to the way businesses inherently operate. Basically, businesses exist to earn profits and driving profits or margins is…

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