A data Cube is the next dimension in mapping out your data. You have your data in spreadsheets, databases, and perhaps even flat documents. Assembling these rows and columns into cubes allows you to visualize the complete picture of how your business operates and how improvements can be made. Adding new dimensions to the data allows you to gain a more complete view and gain insight on facets which only reveal themselves in the totality of information.
Most analysts simply analyze. But that's only half of what can be done. Taking data and breaking it down into smaller chunks is what most BI products can do well. But what if you need to gain a higher perspective? How do you see more? The answer is synthesis.
Data analysis and data synthesis are two closely related but distinct processes in data science.
The main difference between data analysis and data synthesis is that data analysis focuses on understanding the individual parts of data, while data synthesis focuses on understanding the relationships between the parts.
Data analysis is often used to answer specific questions about the data, such as "What is the average age of our customers?" or "What are the most popular products in our store?" Data synthesis is often used to gain a more holistic understanding of the data, such as "What are the key trends in our customer behavior?" or "What are the factors that influence our sales?"
Cubistix uses data analysis and data synthesis together. Data analysis can be used to identify the patterns and trends in the data that are relevant to the research question, and data synthesis can be used to combine the data from multiple sources to create a more comprehensive dataset for analysis.
Cubistix uses both analysis and synthesis to define the art and science of combining all the data into cubes, assembling complete views, and applying analytics and logistics to maximize the functions which make your business great. This convergence of analytics and logistics result in a symphony of insights and strategies that magnify the strengths within your business
The analysis part of Cubistix involves breaking down the data into its component parts and understanding the relationships between those parts. This can be done using statistical techniques, machine learning, or other data mining methods.
The synthesis part of Cubistix involves putting the data back together into a cohesive whole. This is done by creating data cubes, which are multidimensional structures that store data in a way that makes it easy to analyze and visualize.
The analytics part of Cubistix involves using the data to answer questions about your business. This is done by running statistical tests, creating predictive models, or generating reports.
The logistics part of Cubistix involves using the newfound information to make decisions about your business. This can involve optimizing your supply chain, improving your customer service, or launching new products.
Here are some of the benefits of using Cubistix for data analysis:
If you are looking for a powerful and versatile way to scale your business, let Cubistix turn your data into actionable decisions.