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Prashanth Southekal, PhD's Discussions
Analytics Best Practices Book
Started May 20, 2020 0 Replies 0 Likes
Last month I published my 2nd book - Analytics Best Practices. Here is the link to my book if DSC members are interested.…Continue
FFT on Time Series Data
Started this discussion. Last reply by Marissa Stice Oct 23, 2020. 2 Replies 1 Like
Hi All:Quick question on Time series data and Fourier Analysis.Once you get the number of the Components (say 6 from FFT), how can one find the strength of each component in the time series data set…Continue
Validation of the Prediction Model
Started this discussion. Last reply by Prateek Baranwal Feb 6, 2020. 4 Replies 1 Like
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 1 Like
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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"FBProphet uses a periodogram to model time series using these components. I'd take a look at their source code. https://github.com/facebook/prophet/tree/master/python/fbprophet"
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
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
"The solution is cross-validation. See https://www.datasciencecentral.com/page/search?q=cross+validation"
"Model evaluation and validation measures vary depending on the modelling technique you use. "
"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…"
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
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
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
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
Profile Information
- Company:
- DBP-Institute
- Job Title:
- Managing Principal
- Seniority:
- Executive Management
- Industry:
- Consulting
- 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".
- 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 0 Likes
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…
ContinueBuilding the High Performing Team for Enterprise Data Analytics
Posted on November 22, 2019 at 7:30am 0 Comments 0 Likes
Building the High Performing Team for Enterprise Data Analytics
Prashanth Southekal and Santhosh…
ContinueData Standardization: The Core building block for Data Quality.
Posted on May 8, 2019 at 1:30pm 0 Comments 0 Likes
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…
ContinueCan Lack of Data Always Provide Valuable Insights?
Posted on March 18, 2019 at 3:30am 0 Comments 0 Likes
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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