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Prashanth Southekal, PhD
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Prashanth Southekal, PhD's Discussions

Validation of the Prediction Model

Started this discussion. Last reply by Prateek Baranwal Feb 6. 4 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 blog post was featured

Data Compliance: An Integral part of Business Analytics

Data Compliance: An Integral part of Business AnalyticsPrashanth Southekal and Santhosh Raju “It takes 20 years to build a reputation and 5 minutes to ruin it. If you think about that, you will do things differently”Warren BuffetIntroductionAs data becomes the new currency of the world, new rules are drawn on business analytics and one of the key rules is on data compliance. What exactly is data compliance and how does it impact business analytics? In simple words, data compliance is compliance…See More
Jan 26
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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, 2019
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Prasanth liked Prashanth Southekal, PhD's blog post Why Data Analytics is Heavy on Data Engineering?
Nov 6, 2019
Tim Matteson liked Prashanth Southekal, PhD's discussion Validation of the Prediction Model
Aug 16, 2019
Vincent Granville replied to Prashanth Southekal, PhD's discussion Validation of the Prediction Model
"The solution is cross-validation. See https://www.datasciencecentral.com/page/search?q=cross+validation"
Aug 16, 2019
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, 2019
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, 2019
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, 2019
3 Comments
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, 2019
3 Comments
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, 2019
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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, 2019
0 Comments

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 Compliance: An Integral part of Business Analytics

Posted on January 24, 2020 at 12:30pm 0 Comments

Data Compliance: An Integral part of Business Analytics

Prashanth Southekal and Santhosh Raju

 

“It takes 20 years to build a reputation and 5 minutes to ruin it. If you think about that, you will do things differently”

Warren Buffet…

Continue

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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