Data Cleaning News

7 Steps for cleaning data for analysis

Cleaning data is essential prior to beginning your analysis or loading data into your business intelligence tool. If you load data that is inconsistent, inaccurate, unstandardized, duplicated, incomplete and outdated it will be impossible to get the right analysis done. What can be worst is that without realizing you have bad data is that you…

A data model for data analytics

Data modeling defines how an organization analyses and extracts value from its data. Although everyone in the business will not have the technical knowledge to assist in building a data model for data analytics, they should understand what it is, and its incumbent importance. What is a data model? A data model determines and visualizes…

What is data cleaning?

What is data cleaning? Data cleaning is the process of making sure that data is usable, unique and correct. Data cleaning can refer to multiple different tasks from de-duplication to data appending. Here are some common data cleaning tasks that can all be described as data cleaning: Data De-duplication – This refer to either merging…

Data migration and Database migration

Big data is driving the operations of modern-day businesses. As customers continue to favor digital solutions, e-commerce, and social networks, the volume of data that organizations hold will continue to grow. If companies want to realize the benefits of their data assets, they need to examine how they can scale up effectively. In many cases,…

Merge Vs. Purge – How to make a decision in data priority?

Clean data does not happen over night, it requires proper processes and an ongoing data cleansing initiative. A substantial part of data cleansing procedure is data deduping. The latter is the practice of defining of duplicate/repeated records sets, selecting the master/surviving record and merging or purging of non surviving records. However, prior to de-duplicating process…

How to perform data consolidation

It is not uncommon to find yourself with multiple data lists, excel spreadsheets and different data sources. However, at some point you may want to consolidate all your data into one CRM or spreadsheet. Here are the steps to take when performing data consolidation regardless of data type and sources of data. Planning – Prior…

Data Deduplication Establishing Business Rules

Any quality data cleansing process includes deduping. Data deduplication is the procedure of identifying duplicate record and removing duplicates. Why should you de-dupe? – Duplicated records distort the data by adding repeated information that lead to wrong reporting, i.e. incorrect insights – Duplications twist marketing campaigns by decreasing the response rate and killing return on…

Email data migration steps

When thinking of an email data migration you have to consider many things. You need to make decisions on the financial plan, technology, detailed and well worked through planning including foreseeing viable challenges to diminish the risks of failure. One of the main obstacles in the email data migration process is the cleanliness of your…

Establishing data quality standards

Everyone is familiar with the saying ‘Garbage in, garbage out’. Using dirty data, not quality data affects the quality of your analytics followed by wrong business decisions, poor strategy and in the end failure. Logical and easy understandable succession of actions that can be avoided by having clean and quality data. Quality data is an…