About Kayla Matthews

Kayla Matthews discusses technology and big data on publications like The Week, The Data Center Journal, Information Age and insideBIGDATA. To read more posts from Kayla, visit her personal tech blog, Productivity Bytes.

Kayla Matthews Posts (29)

• Passive Data Collection and Actionable Results: What to Know - 21 Feb 2020
  
  There are plenty of ways to get actionable results by using passive data. However, such an outcome will not happen without careful forethought. Data analysts must consider several crucial specifics, including what questions they want and expect the information to answer, and how they'll apply the findings to aid the business.
• How HR Is Using Data Science and Analytics to Close the Gender Gap - 03 Jan 2020
  
  The gender gap can extend to the lack of equal representation in certain industries or career paths, and there's an extraordinarily long way to go before people will be on equal footing in the labor market. Human resources professionals can rely on data analytics to make progress.
• How Data Analytics Can Assist in Fraud Detection - 11 Nov 2019
  
  A primary advantage of data analytics tools is that they can handle massive quantities of information at once. These solutions typically learn what's normal within a collection of information and how to spot anomalies.
• How to Measure Foot Traffic Using Data Analytics - 23 Oct 2019
  
  You need to know how many people visit your store now and what sort of audience you're acquiring. Foot traffic data is going to be invaluable to the success of your business.
• Data Mapping Using Machine Learning - 27 Sep 2019
  
  Data mapping is a way to organize various bits of data into a manageable and easy-to-understand system.
• How to Sell Your Boss on the Need for Data Analytics - 26 Aug 2019
  
  Here are some ways you can make the case to your boss that analytics investments are smart for your company to pursue.
• How to Showcase the Impact of Your Data Science Work - 10 Jul 2019
  
  You're a Data Scientist -- or preparing to land your first job -- and communicating your work to others, especially employers, so they understand your impact is essential. These five tips will help you help others appreciate your data science.
• 6 Industries Warming up to Predictive Analytics and Forecasting - 22 May 2019
  
  Here are six sectors that are realizing how beneficial predictive analytics could be, embracing the possibilities of valuable insights extracted from such technology.
• Why Data Professionals Should Negotiate Every Job Offer - 16 May 2019
  
  Here are six reasons why you shouldn't feel tempted to jump at the chance and take that job offer as it is without first negotiating.
• 5 Things to Review Before Accepting That Data Scientist Job Offer - 10 May 2019
  
  Before you get too excited and sign the papers for that new data scientist job, and solidify your role as a new hire, make sure you look over these 5 things first.