Prashanth Southekal

Prashanth Southekal

Prashanth Southekal is the Managing Principal of DBP-Institute, a data and analytics consulting and education firm. He has consulted for over 75 organizations. Dr. Southekal is a published author of two books and a contributing writer on data, analytics, and machine learning in Forbes and CFO.University. Apart from his consulting pursuits, he has trained over 2,500 professionals worldwide.

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Why Data Analytics is Heavy on Data Engineering?
Data Analytics & BI

Key Performance Indicators (KPIs): The Lynchpin...

Delivering successful data analytics solutions that have a strong business impact is dependent on numerous factors su...

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Why Data Analytics is Heavy on Data Engineering?
Data Management

Three Key Misconceptions Of Data Quality

Increasingly more corporate boards and executives understand the importance of data for improved business performance...

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Why Data Analytics is Heavy on Data Engineering?
Data Analytics & BI

The Five C's: Soft Data Skills That Every Analy...

The data economy is increasingly embraced worldwide in every industry. Data has enabled many firms to have a distinct...

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Why Data Analytics is Heavy on Data Engineering?
Data Analytics & BI

Can Data Be A Liability For The Business?

Today, almost every organization is trying to leverage data for improving its business performance using artificial i...

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Why Data Analytics is Heavy on Data Engineering?
Data Analytics & BI

Five Key Criteria To Identify The Right Data An...

Today, organizations of all types are looking at leveraging data and analytics (D&A) for improved business perfor...

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Why Data Analytics is Heavy on Data Engineering?
Data Analytics & BI

Five Key Commandments Of Data Visualization

Data visualization is a process in data analytics where visual representation communicates the data and insights to f...

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Why Data Analytics is Heavy on Data Engineering?
Data Analytics & BI

Data Culture: What It Is And How To Make It Work

Data and Analytics (D&A) is considered the next frontier for innovation and productivity in business. A Mckinsey ...

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Why Data Analytics is Heavy on Data Engineering?
Data Analytics & BI

Why 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...

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Why Data Analytics is Heavy on Data Engineering?
Data Analytics & BI

Two Key Questions In Designing Monetizable Data...

The three main purposes of data in business are to enable improved operations, compliance and decision-making. Resear...

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