Data Cleansing

Data cleansing is the process that removes data that does not belong in your dataset. Data transformation is the process of converting data from one format or structure into another


Campaignburst Data Cleansing

Remove duplicate or pointless observations as well as undesirable observations from your dataset. The majority of duplicate observations will occur during data gathering.When you measure or transfer data and find odd naming practises, typos, or wrong capitalization, such are structural faults.

There will frequently be isolated findings that, at first look, do not seem to fit the data you are evaluating. Removing an outlier if you have a good reason to, such as an incorrect data entry, will improve the performance of the data you are working with.

Most people concur that the quality of your insights and analysis when using data depends on the data you are using. In essence, poor data input leads to poor analysis output.If you want to develop a culture inside your business centred around sound data decision-making, one of the most crucial first stages is data cleaning, also known as data cleansing and data scrubbing.




Data Cleansing Benefits

decisionmaking

Improved decision making

boostresult

Boost results and revenue

savemoney

Save money and reduce waste

savetime

Save time and increase productivity

inspection

Minimise compliance risks

Custom Built your own B2B data list from 150+ industries that fall into the following sectors.

  • Information Technology
  • Health Care
  • Financials
  • Consumer Discretionary
  • Communication Services
  • Industrials
  • Consumer Staples
  • Energy
  • Utilities
  • Real Estate and Materials
datasectors




Free Proposals





FAQ

What is Data Cleansing?

Data cleaning is the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. When combining multiple data sources, there are many opportunities for data to be duplicated or mislabeled

Why Data Cleansing is Important?

Data cleansing, also known as data cleaning or scrubbing, identifies and fixes errors, duplicates, and irrelevant data from a raw dataset. Part of the data preparation process, data cleansing allows for accurate, defensible data that generates reliable visualizations, models, and business decisions

why we need to choose CampaignBurst?

We Understand your target audience and customer, Our business teams can use their deep understanding to make your customer-centric decisions.


Our Value Added Services and Solutions

businessmeet

Market Intelligence is about providing a company with a view of a market using existing sources of information to understand what is happening in a market place.

businessmeet

everyday data that is relevant to the marketing efforts of an organization.

businessmeet

marketing analysis can reduce risk, identify emerging trends, and help project revenue. You can use a marketing analysis at several stages of your business.

businessmeet

Market intelligence helps you to become customer-centric, understand the market demands and consumer opinions, collect real-time relevant data, boost your upselling opportunities, reduce risks