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What’s Next Media And Data Analytics, Llc?

What’s Next Data Analytics™ uses proprietary data and methods to tackle difficult problems facing execs and provider actionable insights on what’s now, what’s next, and what they need to do about it. The team is renowned for discovering major flaws in the Census Bureau’s e-commerce data.

Is Pymnts com a reliable source? is a recognized global leader for data, news and insights on innovation in payments and the platforms powering the connected economy. PYMNTS uses proprietary research, data analysis and executive insights to create content.

Who owns PYMNTS? is brought to you by 1st in Media, LCC, a joint venture between two leaders in the online media and payments space: Business Wire and Market Platform Dynamics. Business Wire, a wholly owned subsidiary of Berkshire Hathaway, is the global market leader in commercial news and disclosure distribution.

What is a data analytics company?

Data analytics companies enable businesses to analyze the acquired data and use them as required. Data analytics services can assist in product development, identifying potential market gaps, improve operational efficiency, etc.

Who writes for Pymnts?

Jennifer Ruther – Principal Writer – PYMNTS | LinkedIn.

What are the 4 types of analytics?

There are four types of analytics, Descriptive, Diagnostic, Predictive, and Prescriptive.

Is Data Analytics a good career?

Yes, data analytics is a very good career. Fittingly, high demand for Data Analysts correlates to an increase in salary—many Data Analysts’ salaries sit quite comfortably above the $70,000 line, even in junior positions, with senior and highly specialized positions typically reaching over $100,000.

What are top 3 skills for Data Analyst?

Essential Skills for Data Analysts

  • SQL. SQL, or Structured Query Language, is the ubiquitous industry-standard database language and is possibly the most important skill for data analysts to know.
  • Microsoft Excel.
  • Critical Thinking.
  • R or Python–Statistical Programming.
  • Data Visualization.
  • Presentation Skills.
  • Machine Learning.

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