DATA PREPARATION SERVICES
Data Quality Matters
The critical function of data preparation is to ensure data collected for analysis is comprehensive, complete, consistent and reliable so the results of business intelligence (BI) and business analytics (BA) applications will be credible, authentic and most importantly valuable. Data preparation corrects inaccuracies, performs verifications, and joins sets of data from separate databases that use different formats. Locating and correcting bad data is essential for success because outliers, or erroneous errors can deliver inaccurate and incorrect insights. This can result in expensive loss of resources, time and money.
Need for Data preparation
- Datasets can contain outliers or errors
- Poor quality of Data may deliver inaccurate or incorrect insights
- Bad Data or poor quality can result in expensive loss of resources, time and money
- Data is mostly quantitative rather than qualitative.
Here’s what we do:
7AVP’s Data preparation services include various activities such as curating, segregating, gathering, structuring, and organizing data to be analyzed as part of data visualization, analytics, and machine learning applications. Our IT and Business Intelligence (BI) team pull together data from different internal systems and external sources and to create customizable reports and presentations that are accessible for any audience.
Our Data preparation services follow the below steps:
- Data Discovery
- Data Cleansing
- Data Storage
- Data Integration
- Data Transformation
- Data Reduction
- Data Discretization
- Data Aggregation
- Management/BI Reporting/Audit /Reporting
To put our Data preparation process in simpler words here are the steps we follow
1. Gather data –
We start the data preparation process by finding and collecting the right data, which can come from an existing data catalogue or can be added ad-hoc.
2. Discover and assess data –
Next, we discover each dataset and try to get to know the data and understand what has to be done before the data can become useful in a particular context. Discovery can be challenging; however, our data preparation platform offers visualization tools that help users profile and browse their data.
3. Cleanse data –
This is the most time-consuming and crucial part of the data preparation process since it removes erroneous data, fills in gaps, and smoothes out noisy data. Important tasks here include:
· Removing extraneous data and outliers.
· Filling in missing values.
· Conforming data to a standardized pattern.
· Masking private or sensitive data entries.
4. Validate Data –
Once the data has been cleansed, we validate it by testing for errors. Often, a mistake in the system will become apparent during this step, and we resolve it before we move to the next step.
5. Transform and enrich data –
The data is then transformed or updated into a format or value entries, resulting in a well-prepared, well-researched, and well-defined conclusion and making the data more transparent and intelligible to a broader audience. We then enrich the converted data by adding and connecting it to additional relevant information to deliver deeper insights.
6. Store data –
Once all of the above steps are performed, we prepare the data and store or channel it into a third-party application, such as a business intelligence tool, and clear the way for processing and analysis.
Data Controls are highly recommended and suggest they be inserted between the above steps in discussion with the stakeholders.
Use 7AVP’s data preparation service to derive accurate, dependable and consistent data. We ensure your data is top quality leaving you with confidence to make informed decisions.
- Produce top-quality data
- Make better business decisions
- Fix errors quickly