August 04, 2022
“Dirty data” is a term that describes any piece of data you collect that has issues or errors.
For many companies, most records in their database have some issues. A study of clinical data showed error rates as high as 27% in some data fields. This can mean inaccurate data, missing information, or data entry mistakes.
The question is not whether or not you have dirty data. Every database has[…]
April 07, 2021
Email is one of the most reliable marketing channels. Unlike search and social—which can both giveth and taketh away when algorithms change—email marketing lets you build an audience that you can communicate with directly.
But even email can create hurdles for marketers. If you do the wrong thing—like sending too many emails to inactive subscribers or sending emails to invalid addresses—it[…]
March 14, 2021
When you deduplicate and merge records in your CRM, how do you determine which record remains and which one gets removed? How do you know that you are picking the right ‘master’ record? Making the right decision helps you to avoid unnecessary problems that can impact your ability to effectively engage with a prospect or customer down the road.
Duplicate contact data, companies, and deals make it[…]
February 21, 2021
A “dirty” Customer Relationship Management (CRM) system can be paralyzing for marketing, sales and services teams. When the information you need becomes unusable due to the accumulation of errors in your data, it slows everyone down.
The worst part? It’s inevitable.
February 17, 2021
Bad Salesforce data can suck the life out of your marketing campaigns and sales initiatives. Duplicate Salesforce data, missing data, inaccurate data, outdated data — it all adds up over time as prospects and customers have negative experiences engaging with your brand. Poor-quality data costs US companies up to $15 million annually as it leads to problems with productivity and effectiveness.
[…]
January 29, 2021
If you are responsible for managing customer data, it is almost certain that you have dealt with the headaches that duplicate data creates. Whether that duplicate data ended up in your system as the result of customers filling out forms, your team entering the data manually, or imports from outside platforms — the consequences of that duplicate data are the same, and quite costly.
In fact, the[…]
August 19, 2020
Customer data management is extremely time-consuming for most organizations. More than most know, in fact.
Every data management process is made up of many smaller individual tasks. Sometimes, the steps required to cleanse, format, and quality check fixes on a single field can mean dozens of steps.
That’s a problem.
First, it means that fixing individual fields in your data, such as a customer's[…]
February 13, 2020
Have you ever gone to use data from your CRM, maybe in marketing automation, only to find that inconsistencies in the data are causing issues and embarrassing errors that could harm your company's reputation? Everyone has.
Standardized data, often referred to offhand as data normalization, is a critical piece of the puzzle when it comes to ensuring CRM data quality. Standardizing data improves[…]
October 24, 2019
Marketing operations professionals have become increasingly reliant on data in recent years. Customer data, employee data, internal process data, product data — it all plays a vital role in the larger marketing strategy that organizations employ. Each is used for data-backed decision making and the process of optimizing components of their operations.
Companies are collecting more data than ever[…]
October 10, 2019
Welcome to Insycle Insiders, a series of short conversations with customers that have made Insycle a key part of their data management strategy.
In this edition, we spoke with James Marshall, Systems Analyst from Kitchen Magic, a kitchen renovation company with locations in Pennsylvania, Massachusetts, New Jersey, New York, and Connecticut. They’ve served tens of thousands of customers on the[…]
