Perfect-Tech is a rising Egyptian company with a group of expert consultants & developers, that specialize in digital transformation, ERP implementation and software development, striving to simplify businesses through out-of-the-box solutions for our customers.
Chances are good that there’s a cloud software as a service solution on the market today that will serve your core back-office needs. Many of those products offer the potential not just to move your data and processes to cloud
Step one of the data analysis process should be to clearly state and understand the business objective.
This can be start as simple as “we need to increase sales or increase revenues.”
Then, through discussions with business stakeholders such as executives, product management, sales and marketing, the objective should become more specific and actionable. From “increase sales” it may become: “find the best product to offer customers based on their buying history.” The second statement is more specific and actionable and aligns with “increasing sales.”
This objective may be even further refined into very specific statements that lend themselves to analytical solutions.
The second step is data sourcing and collection. The goal is to find data that is relevant to solving the problem or supports an analytical solution of the stated objective. This step involves reviewing existing data sources and finding out if it is necessary to collect new data. It may involve any number of tasks to get the data in-hand, such as querying databases, scraping data from data streams, submitting requests to other departments, or searching for third-party data sources.
In step three of the data analysis process, the data collected is processed and verified. Raw data must be converted into a usable format and this often requires parsing, transforming, and encoding. This is a good time to look for data errors, missing data, or extreme outliers. Basic statistical summary reports and charts can help reveal any serious issues or gaps in the data. How to fix the issues will depend on the type of problem and will likely need to be considered case-by-case, at least at first. Over time, company protocols may be developed for specific data issues. Especially in a new data science solution, the data almost always needs a little repair work.
Chances are good that there’s a cloud software as a service solution on the market today that will serve your core back-office needs. Many of those products offer the potential not just to move your data and processes to cloud
it’s easy for marketers to brag about how great their product or service is. Writing compelling copy, shooting enticing photos, or even producing glamorous videos are all tactics
it’s easy for marketers to brag about how great their product or service is. Writing compelling copy, shooting enticing photos, or even producing glamorous videos are all tactics
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