What is Data Warehousing?
As we can see that describe that Data warehousing is the procedure of building and using a data warehouse, a data warehouse is constructed by integrating data from maple heterogeneous source that support analytical reporting structured and or ad hoc queries, and decision making.
Important key points to be noted for data analytical and manufacturing for any business,
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.
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.
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.
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.