Today the volume of data that organizations collect is overwhelming. It is streaming non stop with modern technology helping accumulate it faster and faster. Big data represents an issue in itself and it is an ongoing struggle not only to store it but to maintain it. In other words, it is the quality of data…

Data is a fundamental pillar and a very essential asset of every company. It accumulates quickly and pretty often it becomes a true challenge to maintain high quality of the data. To maintain high quality data it is advisable to create a data quality dashboard that is monitored on the ongoing basis. You can also…

Cleansed data means quality and quality means better analysis, decision making and marketing/sales. If someone has doubts about data cleansing and can not decide to clean or not to clean the following advantages of data cleansing may help make decision in favor of clean and quality data. Clean data encourages proper insights. It is quite…

Clean data is crucial and more and more companies realize it today. To make right choices and decisions in data cleanup, it is good to be familiar with its common strategies and techniques. To start with, it is necessary to understand the objective of data cleansing process. Here are some common aspects to cover. It…

Data cleanliness and high data integrity are vital and rewarding to any type of organization. Business decisions are made based on data. There is absolutely no point in grinding wrong numbers, inaccurate, outdated, invalid pieces of data. It is not only useless and unproductive but also risky and damaging to any company. High quality, clean…

Today we all hear that data rules, data is critical, data is core, data is the most important, essential and vital. However, to get clean, accurate, flawless data is not an easy task. Despite the fact that modern technologies, tools and programs allow companies to collect tons of data, human input still remains a substantial…

There are many types of data you can validate and/or verify this includes: addresses, phone numbers, emails, websites, psychographics, demographics and firmographics. There is a big different between verification and validation, let’s examine the difference based on the type of data that you are trying to verify or validate. Email Verification Vs. Email Validation Email…

Duplicate finder is the process of identifying duplicates in your CRM. Duplicates can be found in all databases regardless if you use solutions such as dupe blockers or have very strict processes. However, not all duplicates are bad. There are many reasons why you would want to have duplicates in your system. Some of the…

Data preparation when you are migrating your data to a new system, is one of the most critical phases in your system migration project. The first step prior to any data manipulation, de-duping and standardization can happen is to back-up your original data that way you are not risking any data loss. Step 1: Understanding…