"Another way to look at this..
Items 1 through 4 are really means to an end..tools to enable digital transformation. Deploying a tool is not the end goal but business results such as productivity, customer satisfaction, market access,…"
Prashanth Southekal, PhD's Discussions
Regression Analysis
Started this discussion. Last reply by Wayne G Fischer Feb 26. 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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Mario Aviles liked Prashanth Southekal, PhD's blog post Transforming Quantitative Data to Qualitative Data
Ravi Condamoor commented on Prashanth Southekal, PhD's blog post What is NOT Digital Transformation?
Prashanth Southekal, PhD posted a blog postWhat is NOT Digital Transformation?
These days many companies have embarked on Digital Transformation. Unfortunately, not many have found good success. A recent study in Forbes, says over 84% of Digital Transformation initiatives in business enterprises fail. While lot of articles talk of Digital Transformation including reasons for the poor failure rate, critical success factors, etc.., here is my take on what is NOT Digital Transformation. Here are the top 5 aspects (based on what I have seen) where the means have taken more…See More
Prashanth Southekal, PhD's blog post was featuredWhat is NOT Digital Transformation?
These days many companies have embarked on Digital Transformation. Unfortunately, not many have found good success. A recent study in Forbes, says over 84% of Digital Transformation initiatives in business enterprises fail. While lot of articles talk of Digital Transformation including reasons for the poor failure rate, critical success factors, etc.., here is my take on what is NOT Digital Transformation. Here are the top 5 aspects (based on what I have seen) where the means have taken more…See More
Kranti Swaroop Asapu liked Prashanth Southekal, PhD's blog post Why Data Analytics is Heavy on Data Engineering?Prashanth Southekal, PhD's blog post was featuredWhy Data Analytics is Heavy on Data Engineering?
While many companies have embarked on data analytics initiatives, only a few have been successful. Studies have shown that over 70% of data analytics programs fail to realize their full potential and over 80% of the digital transformation initiatives fail. While there are many reasons that affect successful deployment of data analytics, one fundamental reason is lack of good quality data. However, many business enterprises realize this and invest considerable time and effort in data cleansing…See More
DEREK BELYEA commented on Prashanth Southekal, PhD's blog post Why is Data Missing from the Balance Sheet?""Until someone fortifies the material value of high-quality data as a consistent source of revenue and growth potential then companies will intentionally omit it from balance sheets."
This is not the problem. Lots of non-data assets show…"
DEREK BELYEA commented on Prashanth Southekal, PhD's blog post Why is Data Missing from the Balance Sheet?"FASB and IFRS go to great pains (and give accountants lots of work) to assign values to some assets and some liabilities but completely ignore others. Yes, investors are not stupid. They understand the value of these "hidden"…"
David Blaszkowsky commented on Prashanth Southekal, PhD's blog post Why is Data Missing from the Balance Sheet?"There is a big difference between the accounting meaning of "asset" and the popular use of the term. "_____ is our most important asset" is a routine phrase -- here we insert "data", rather than people or…"
DEREK BELYEA commented on Prashanth Southekal, PhD's blog post Why is Data Missing from the Balance Sheet?"Facebook is a company that exists primarily on the rent that advertisers will pay for access to its data.
At the end of 2017 the market value of Facebook was slightly in excess of USD 500 billion and the book value of its equity was roughly USD 75…"
Cristian Vava commented on Prashanth Southekal, PhD's blog post Why is Data Missing from the Balance Sheet?"Indeed it would be rather difficult to include data and processing algorithms on the Balance Sheet. The Financial Accounting was conceived this way to prevent "overly creative" interpretations of reality which would lead to extreme…"
Kranti Swaroop Asapu liked Prashanth Southekal, PhD's blog post Why is Data Missing from the Balance Sheet?
Donald Ray Presnell commented on Prashanth Southekal, PhD's blog post Why is Data Missing from the Balance Sheet?"Until someone fortifies the material value of high-quality data as a consistent source of revenue and growth potential then companies will intentionally omit it from balance sheets."
Prashanth Southekal, PhD posted a blog postWhy is Data Missing from the Balance Sheet?
I have been asked many times is data a business asset?. Why is it that an intangible asset like data is not in the company’s balance sheet - a statement of the assets, liabilities, and capital of a business at a particular point in time? Technically, an intangible asset is a non-physical asset that has a multi-period useful life. Examples of intangible business assets are patents, copyrights, customer lists, trademarks, brand names, logo, and data. While data in the recent years has provided…See More
Prashanth Southekal, PhD's blog post was featuredWhy is Data Missing from the Balance Sheet?
I have been asked many times is data a business asset?. Why is it that an intangible asset like data is not in the company’s balance sheet - a statement of the assets, liabilities, and capital of a business at a particular point in time? Technically, an intangible asset is a non-physical asset that has a multi-period useful life. Examples of intangible business assets are patents, copyrights, customer lists, trademarks, brand names, logo, and data. While data in the recent years has provided…See More
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
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- Managing Principal
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Prashanth Southekal, PhD's Blog
What is NOT Digital Transformation?
Posted on September 7, 2018 at 2:30pm 1 Comment 1 Like
These days many companies have embarked on Digital Transformation. Unfortunately, not many have found good success. A recent study in Forbes, says over 84% of Digital Transformation initiatives in business enterprises fail. While lot of articles talk of Digital Transformation including reasons for the poor failure rate, critical success factors, etc.., here is my take on what is NOT Digital Transformation. Here are the top 5 aspects (based on what I have seen) where the means have taken more…
Continue Why Data Analytics is Heavy on Data Engineering?
Posted on July 22, 2018 at 4:00pm 0 Comments 1 Like
While many companies have embarked on data analytics initiatives, only a few have been successful. Studies have shown that over 70% of data analytics programs fail to realize their full potential and over 80% of the digital transformation initiatives fail. While there are many reasons that affect successful deployment of data analytics, one fundamental reason is lack of good quality data. However, many business enterprises realize this and invest considerable…
Continue Why is Data Missing from the Balance Sheet?
Posted on May 15, 2018 at 5:00am 6 Comments 1 Like
I have been asked many times is data a business asset?. Why is it that an intangible asset like data is not in the company’s balance sheet - a statement of the assets, liabilities, and capital of a business at a particular point in time? Technically, an intangible asset is a non-physical asset that has a multi-period useful life. Examples of intangible business assets are patents, copyrights, customer lists, trademarks, brand names, logo, and data. While data in the recent years…
Continue Transforming Quantitative Data to Qualitative Data
Posted on January 29, 2018 at 9:00pm 4 Comments 4 Likes
The two main data types in business are nominal (categorical or qualitative data) and interval data (quantitative or continuous data). Nominal data are just categories on variables such as customer names, and marital status and you cannot do any mathematical operations on this type of data. Bar chart and Pie chart are usually used to describe nominal data. On the other hand, interval data hold numerical values on variables such as income, age, and invoice amount and you can do mathematical…
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