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Prashanth Southekal, PhD
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  • Calgary, AB
  • Canada
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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

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Prashanth Southekal, PhD's blog post was featured

Building the High Performing Team for Enterprise Data Analytics

Building the High Performing Team for Enterprise Data AnalyticsPrashanth Southekal and Santhosh RajuIntroductionHigh performing teams hold the key for the successful performance of any company. Whether you have thousands of employees or just five employees, high performing teams are a must for optimal business performance. Successful analytics initiatives are no exception and are also dependent on high performing teams. However, most Data Analytics teams today are a shadow of the old MIS/BI…See More
Nov 22
Prasanth liked Prashanth Southekal, PhD's blog post Why Data Analytics is Heavy on Data Engineering?
Nov 6
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

Building the High Performing Team for Enterprise Data Analytics

Posted on November 22, 2019 at 7:30am 0 Comments

Building the High Performing Team for Enterprise Data Analytics

Prashanth Southekal and Santhosh…

Continue

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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