Why Data Quality Is So Important In B2B Lead Generation

As B2B marketers, we want to generate leads. More than that, we want to generate the RIGHT leads, which will then turn into customers.

5 Steps to Data Cleansing of Customer Data

It is necessary for organizations to have an updated database, both for ensuring efficient contact with their customers and maintaining compliance standards. Data Cleansing or data scrubbing is the process of identifying and correcting inaccurate data from a data set. With reference to customer data, data cleansing is the process of maintaining consistent and accurate (clean) customer database through identification & removal of inaccurate (dirty) data. Here, inaccurate data stands for any data that is incorrect, incomplete, out-of-date, or wrongly formatted.

What is data cleansing and why is it important to your company?

“Data cleansing, data cleaning, datawash or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table or database.

Used mainly in databases, the term refers to identifying incomplete, incorrect, inaccurate, irrelevant, parts of the data and then replacing, modifying, or deleting this dirty data.”(Wikipedia)

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.

Marketing Big Data: Why Continuous Data Cleansing is Important

The data used for marketing a generation ago, including information like point-of-sale transaction data, responses to direct mail campaigns, and coupon redemption numbers, was incredibly limited compared to the data available today. With big data, marketing has experienced tremendous innovation. But simply having and processing big data doesn’t automatically lead to better marketing.

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.

4 Best Practices for Data Hygiene

Dirty data might cost you more than you realize. Typos, outdated or incomplete information, spam traps and other threats mean your messages don’t reach their intended recipients. This will cost you in immediate campaign ROI as well as lifetime customer value. In the worst case scenario, dirty data will land you on a blacklist, resulting in pricey remediation and the inability to communicate with customers, prospects, and possibly your internal team. Routinely cleaning your database can avoid many of these headaches altogether.

Importance of Data Cleansing to Business

Data cleansing is a valuable process that can help companies save time and increase their efficiency. Data cleansing software tools are used by various organisations to remove duplicate data, fix and amend badly-formatted, incorrect and amend incomplete data from marketing lists, databases and CRM’s.  They can achieve in a short period of time what could take days or weeks for an administrator working manually to fix. This means that companies can save not only time but money by acquiring data cleaning tools.

What B2B Data Cleansing Vendors Do For You?

Data quality issue is the biggest challenge for a B2B marketer. Be it accidental or intentional you'll find a lot of bad entries in you database. Sometimes, its the wrong email address, sometimes it is an invalid contact or it could be an incorrect designation. Every time when an inaccurate information is added to the database, it creates a bad impact on the outcome and complicate a marketer's or sales rep's job.

Top 5 Benefits of Data Cleansing for Business Enterprises

Data quality is the order of the day. Without accurate data, your enterprise can encounter loss and suffer from a lack of brand value. Find out why data cleansing is an absolute must for every enterprise.