1 / 10

Initial Data Analytics Steps for Practical Project Implementation

The experts share the steps of data analytics at the initial stage. They have a goal to implement the project in practical life. Get in touch with us now!

dreamassignment
Download Presentation

Initial Data Analytics Steps for Practical Project Implementation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Initial Data Analytics Steps for Practical Project Implementation

  2. Contents • Introduction. • Process Cycle of initial Data Analysis. • Steps to perform Data Analysis. • Advantages of Data Analysis.

  3. Introduction Data Analysis is a process of clearing, transforming, and fetching the data. So, One can derive some useful information from it. Basically it used by many business organization to make better decisions.

  4. Process Cycle of Initial Data Analysis

  5. Steps to perform Data Analysis Step 1. Before you collect the data and start analysis. First you have to understand the business that the data is the part of the business success. Step 2. After figuring out the aim, Now you have to start working on the data. That includes merging and mixing the data from various source. Once you connect the data base to that is available for private database, and then start digging what organization wants you collect from that data. Step 3. This step includes dreaded data preparation and takes almost 80% of the time that is actually dedicated to the project. But one crucial thing don’t overlook the data while preparing, and make sure that data are complaint with data privacy regulations.

  6. Steps to perform Data Analysis Step 4. Always try to enrich your database. After cleaning the data, data manipulation comes just to get most out of it. Then start enriching your data by joining all the logs from different resources to narrow the essential features. Step 5. After got the enrich database, Then start making the graph by exploring the database. When data is large is large in volume, graphics interpretation is the best way to explore those database. Then communicate your findings. Step 6. After graphics interpretation, machine learning algorithms will help you to go one step further into getting insights and predicting the future strategy. And clustering algorithms will help to discover

  7. Steps to perform Data Analysis Step 7. The last step includes iterations. The main aim of any business project is that to prove its result as fast as possible. By spending time data cleaning and enriching, jus to end the project fast and get the results as quick as possible.

  8. Advantages of Data Analysis • Data Analysis allows us to make faster business decision. • Data Analysis allows us also to understand better for customer requirements, it could stronger the business relationships. • Also helps to identify the risk, and implementing the prevention.

  9. Contact Us Now! Phone Number: +14235002312 Email Address: info@dreamassignment.com Website: https://www.dreamassignment.com/data-analysis-assignment-help

  10. Thank You

More Related