Data Preparation Services Improves Users Productivity

Good data preparation allows for efficient analysis, limits misconceptions and inaccuracies during processing, and assembles all processed data more attainable to users. It's also fetched easier with unique tools that facilitate users to purify and equip data independently.

Data preparation is the approach of sorting and recasting raw data prior to processing and analysis. In many cases, it involves reformatting data, adding corrections, and combining data sets to enhance data.

Data preparation can be a time-consuming task for business users or data professionals. It is important to place data in context to make insights and eliminate biases resulting from poor quality data.

Data preparation usually involves formalizing data structures, increasing sources, and eradicating outliers.

Benefits: 76% of data scientists agree that data preparation is their worst job. However, data preparation can make making accurate and efficient business decisions easier. Data preparation helps:

• Detect errors quickly - Preparing the data helps catch errors before processing. Once the data is removed from the source, it is more difficult to correct these errors.

• High-quality data - You'll ensure the most accurate analysis results by cleaning and reformatting your data.

• Improved business decisions - Higher-quality data can be processed faster and more efficiently, leading to better business decisions.

Data preparation also moves to the Cloud with data and processes. This provides even greater benefits such as:

• Using Cloud data preparation, you can scale following your business needs. Companies don't have to worry about underlying infrastructure or predict their future.

• Data preparation in the Cloud automatically upgrades to provide new features and problem fixes as soon as they become available. This helps organizations remain competitive without incurring additional costs.

• Data prep in the Cloud means that data is always available, no technical installation is required, and teams can collaborate on the work to achieve faster outcomes.

Many other benefits can be derived from a reliable, cloud-based data preparation tool, such as an intuitive GUI making data preparation simple and intuitive.

Data preparation process: Here, we will explain how data is finally stored with the help of the data preparation process.

1. Assemble data: They first find accurate data that can only be acquired from the existing data catalog.

2. Find and access data: After the accurate data is assembled, now it's necessary to discover that data collection. In this step of data processing, you will understand the data and understand what to do with it before it becomes functional in any context.

3. Purify and Authenticate data: Purifying the data is the most time-taking process, but it's important to remove the inaccurate data and fill the voids.

Important tasks here include:

• Extracting irrelevant data.

• Loading in missing values.

• Blending data to a standardized design.

• Concealing confidential or susceptible data access.

Once data has been purified, it must be authenticated or validated by testing for misconceptions in the data preparation process. Most frequently, any misconception in the process will become evident, and we need to solve it before proceeding further.

4. Recast and augmented data:

Revamping the design or any significant entries to acquire a well-managed outcome. The data here is made easier to understand for a broader audience.

Augmented data adds and combines data with other corresponding data to deliver more resounding insights.

5. Store data:

Finally, the data is stored in a third-party application, such as in various tools- unclogging the route for processing and examination.

Why FiveS?

We want to discuss this process concerning one of our clients, Airtel.

Our FiveS Digital team created CAF forms for our clients. As part of data digitization, an agent verifies the data, including Name, name, photo, Id, DOB, distributor signatures, etc., by analyzing the data. Once the verification is successful, the order is accepted and further processed, forwarded to the retailer if rejected. Once it is accepted, the process is divided into two parts:

a) We physically fill out the data entry by handling the document in front of us.

b) Another way, we first scan the document, and through that scanned document, the agent fills the data entry.

Conclusion:

FiveS makes your work of crunching numbers into an insightful exercise. The Data Preparation Service has a high power level and eliminates redundant insights. You can personalize certain entries for future reference.

Data preparation was originally concentrated on analytics. However, it has expanded to include a wider range of uses. It can now be used by a wider variety of users and improves productivity.

Fives Digital is an impact sourcing business process management company based out of India, with global clientele. With over 1400 team members across our 7 delivery centers in India, we are operational in tier 23 towns across India.