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Stephanie Shen
  • Female
  • New Jersey
  • United States
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Stephanie Shen's Page

Profile Information

Short Bio:
Executive of over 20 years of experience in big data processing, data management and data strategy, with turn-around executions and strong team building expertise.
Company:
The NPD Group Inc.
Job Title:
Senior Vice President, Data & System Integration
Seniority:
VP
Job Function:
Data Science, Machine Learning, Business Analytics, Deep Learning, BI, IoT
Industry:
Market Research
LinkedIn Profile:
http://https://www.linkedin.com/in/stephanie-shen-1465601/
Interests:
Contributing, Networking, Finding a new position, New venture

Stephanie Shen's Blog

What is the Data Architecture we Need?

Posted on February 8, 2020 at 3:00pm 0 Comments

In the new era of Big Data and Data Sciences, it is vitally important for an enterprise to have a centralized data architecture aligned with business processes, which scales with business growth and evolves with technological advancements. A successful data architecture provides clarity about every aspect of the data, which enables data scientists to work with trustable data efficiently and to solve complex business problems. It also prepares an organization to quickly take advantage of…

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How to Create a Successful Data Strategy

Posted on November 6, 2019 at 1:30pm 0 Comments

With rapid advances in AI and data science, data has become an essential asset to every enterprise. Setting up a data strategy, therefore, has become every enterprise's mission, particularly in the C Suite and at Executive levels. What is a data strategy and how do we create the right data strategy? I would like to dedicate this article to answer these 2 questions.
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Before discussing data strategy, we need to understand what a strategy…
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Design Principles for Big Data Performance

Posted on September 29, 2019 at 4:00pm 1 Comment

The evolution of the technologies in Big Data in the last 20 years has presented a history of battles with growing data volume. The challenge of big data has not been solved yet, and the effort will certainly continue, with the data volume continuing to grow in the coming years. The original relational database system (RDBMS) and the associated OLTP  (Online Transaction Processing) make it so easy to work with data using SQL in all aspects, as long as the data size is small enough to…
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7 Steps to Ensure and Sustain Data Quality

Posted on July 28, 2019 at 3:30pm 0 Comments

Several years ago,  I met a senior director from a large company.  He mentioned the company he worked for was facing data quality issues that eroded customer satisfaction, and he had spent months investigating the potential causes and how to fix them. “What have you found?” I asked eagerly.  “It is a tough issue.  I did not find a single cause, on the contrary, many things went wrong,” he replied.  He then started citing a long list of what contributed to the data quality issues - almost…
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