What to know before executing data cleansing process?

Before, intruding further into data cleansing, it is pretty important to have a cognizance about the purpose and the standards of data cleansing and this segment of the entire process can be encased under ‘data quality’ tag. Moreover, DQA or data quality assurance is a benchmark process for checking the health of warehoused data chunks before put to use.

3 Simple Steps to Effective Data Cleaning

Your B2B database is one of the most valuable assets you have as a company. The records it contains allow you to make connections with the right people, thereby powering your marketing efforts and growing your business.

The Importance of Data Cleansing

One of the most essential pieces in the marketing puzzle is making sure that you have clean data.  I'm sure I don't have to reiterate all the reasons, but having clean data means that you accurately know what's happening with your prospect, leads, customers, competitors, partners, and anyone else in your system. You can contact them appropriately and more importantly, it ensures that you don't accidentally send them the wrong information.

How to Clean Up Your Prospect List for Much Improved ROI

You’re a smart marketer and you already know that a finely-tuned prospect list is your most powerful marketing asset. And that means keeping that list healthy and up-to-date is a critical “Must Do” for every marketer.

Is Good Data Quality Part of Your Big Data Strategy?

Investments in big data are increasing, and Gartner predicts 75% of businesses will invest in big data by 2017. Big data analytics is one of the top priorities for almost every enterprise today. According to a new study by Experian, 97% of US businesses are looking to achieve a complete view of their customer data. This will help them drive customer loyalty, increase sales and improve strategic decision making. From manufacturing, public services and healthcare, to supply chain, finance and sales and marketing – analyzing large data and getting important insights is becoming standard practice.

3 Simple Steps to Effective Data Cleaning

Your B2B database is one of the most valuable assets you have as a company. The records it contains allow you to make connections with the right people, thereby powering your marketing efforts and growing your business.

7 top tips for data cleansing

1. Start at the beginning

Data cleansing starts at the point of entry. Inaccurately entered data affects quality and will result in the expense of cleansing later on. So ensure your data is entered correctly at the beginning.