Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree. ...Full Bio
Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree.
Data Science: A Team Spirit
18 days ago
Python Opens The Door For Computer Programming
Steps for Analyzing the Unstructured Data
- Decide the source of the data: It's very important to know the source of the data whether it is useful for the business or not. One or more data sources can also be used to gather the information which is relevant to our business. We should always use the relevant source for collecting data because if we collect data from the random sources than it is not a good idea.
- Manage the unstructured data search: Collected data comprises the both structured and unstructured data. After collecting the data the second step is to structuring the unstructured data search and making it useful for the business. Invest in a good business management tool before you have too much unstructured data.
- Rejecting useless data: After collection and structuring the data the elimination of useless data comes. If the unstructured data takes too much space for keeping it with the business or backups for the data, this will directly affect the business ability to strive. This removes the confusion and saves the time so that we can focus on the relevant data.
- Prepare data for storage: Preparing data means to eliminate all the whitespace, formatting issues, etc. from the data. Now when we have all the data, no matter valuable for the business or not, we can start making a stack of valuable data and after that indexing the unstructured data.
- Decide the technology for data stack and storage: After the removal of inadequate data, data stacking is the next step. We should use the latest technology to save and stack data so that it is easy for the business to fetch the most significant and mandatory data at any point of time. We should also maintain and update data backup.
- Keep all the data until it is stored: We should always store the data whether it is structured or unstructured. Recent natural tragedies around the world have proven that a present and updated data backup is necessary, especially during times of emergency. So we can think forward and save our work.
- Retrieve useful information and its evaluation: After appropriate data backup, we can recover data. This step is useful because we will need to regain data after changing unstructured information as well. After examining the relation between the source of information and the data extracted, helps us to get useful insights in regards to the organization.
- Record statistics: Once we have made the unstructured data search into the structured data through all the steps mentioned above, then we should create the statistics of the data. Classify and segmenting the data for our use and it will help us to create a good flow for future use.
- Analyze the data: This comes at last the indexing of unstructured data. After structuring all the raw data, then the time comes analyze and make decisions that are important and beneficial for the business. Indexing also supports small business to make consistent patterns for future use.