Data Analysis (15)

Blog posts and articles with tips for analyzing data for quality improvement methodologies, including Six Sigma and Lean.

Apr 18
Published in Data Analysis

What does Data Analytics mean?

What does Data Analytics mean?

The basic definition of Data analytics refers to qualitative and quantitative methods and developments used to improve productivity and business gain. Data is removed and categorized to identify and analyze social data and designs, and techniques vary according to organizational requirements.

Apr 18
Published in Data Analysis

Why do we need data analysis ?

 

Why do we need data analysis ?

When it comes to the basics we need to understand that Data is short hand for statistics and whether we are collecting reviewing and or analyzing data this process has always been part of head start program operations. The establishment of health and dental services comprises evidence from screening and any follow up services that are delivered.

Mar 26
Published in Data Analysis

Importance Design of Experiments (DOE)

Importance Design of Experiments (DOE)

Design of Experiments (DOE) a statistics-based method to design experiments. A procedure to achieve an analytical knowledge of a complex, multi-variable process with the fewest acceptable trials. An optimization of the experimental process itself.

Mar 26
Published in Data Analysis

Whats is SPC? SPC for Pharma manufacturing.

SPC stands for statistical process control

Definition of SPC goes this way, Statistical process control (SPC) is a method of quality control which employs statistical methods to monitor and control a process, it can also be used as a method of determining and monitoring quality by observing the manufacturing process. Eminence data is unruffled in the form of product or readings from several machines or instrumentation.

Mar 26
Published in Data Analysis

What is DOE?

What is DOE?

When it comes to the definition, it can be defined as, Design of experiments (DOE) is a methodical, demanding approach to engineering problem-solving that applies principles and techniques at the data collection stage so as to safeguard the generation of valid, defensible, and manageable engineering conclusions.

Page 1 of 3