Category Archives: DeDupeD

5 Challenges of Duplicate Dynamics 365 CRM Data and How to Solve Them!

Duplicate CRM data can hinder your company at every level. If left unaddressed, 15-30% of your CRM data could be duplicates. These duplicates can negatively impact various departments: marketing teams need accurate data for targeted campaigns, sales teams rely on precise client details for effective selling, customer service teams depend on accurate information for providing… Read More »

Maximize Dynamics 365 CRM Data Quality with New Features of Inogic’s de-duplicate App!

Duplicate records in Dynamics 365 CRM can lead to problems like data inconsistency, confusion among users, poor customer experience, and inaccurate reporting and analytics. Therefore, organizations must implement robust deduplication strategies to defeat duplicates in your CRM and ensure the integrity and reliability of CRM data. Dynamics 365 CRM comes with native duplicate detection rules… Read More »

Eliminate Dynamics 365 CRM Duplicates with Master Record Selection and Fuzzy Merging Logic to boost sales productivity!

Accurate data is the lifeblood of any successful CRM system and sales process. But let’s face it, duplicate records are a persistent problem. They create confusion, clutter your database, and ultimately sabotage your sales and marketing efforts. And not all duplicates are created equal. Sometimes, you encounter partially similar records. These might have variations in… Read More »

Webinar: Manage Duplicate CRM Data with Fuzzy Matching, Master Record Selection, and More with DeDupeD New Release!

Data cleaning, a crucial process in data management, involves identifying and addressing inconsistencies, missing values, and duplicates within a dataset. According to a study by Dun & Bradstreet, up to 30% of data in CRMs can be duplicated, highlighting the significance of effective data hygiene practices. When it comes to Microsoft Dynamics 365 CRM, basic… Read More »

Duplicate Data Management in Dynamics 365 CRM – OOB Duplicate Detection vs Inogic’s Data DeDuplication App!

Duplicate data is an inherent aspect of any database operation. It is crucial to take steps to prevent the creation of duplicate records, promptly identify them if present, and eliminate them swiftly within your Dynamics 365 CRM system. Consider a scenario where one team member updates Record A with vital information while another team member… Read More »

Tackle Duplicate Dynamics 365 CRM Data with ease this Holiday Season!

As the festive season approaches, businesses are gearing up for a period of increased activity and heightened data demands. From managing customer interactions and inventory levels to tracking holiday shipments and ensuring timely delivery, businesses rely heavily on their data to navigate the holiday rush. However, the accumulation of data, especially during peak periods, can… Read More »

Prevent and Remove Duplicates in Dynamics 365 CRM: 5 Benefits of Data Hygiene App DeDupeD

In sales, success hinges on data – its accuracy and relevance. For businesses using Dynamics 365 CRM, data quality is important for informed decision-making and strategic planning. Duplicate, inaccurate, or incomplete records can turn the CRM into a liability rather than an asset. Duplicate Dynamics 365 CRM records can lead to confusion among sales representatives.… Read More »

Webinar: DeDupeD – Our New App to Detect, Prevent, and Merge Duplicate Dynamics 365 CRM Records!

Are you tired of grappling with the challenges of managing duplicate records in your Microsoft Dynamics 365 CRM system? You’re not alone if you’re nodding your head in agreement. Many organizations face the uphill battle of maintaining a clean CRM database, particularly when it comes to dealing with redundant and junk data due to duplicate… Read More »

Detect, Prevent & Merge – Say Goodbye to Duplicate Records in Dynamics 365 CRM!

A 66% surge in revenue is possible if organizations implement data quality best practices, like using a deduplication solution. In an age where information is paramount, ensuring the reliability of data is not just a necessity; it is an imperative. Due to importing data in bulk, manual entries by different users, or integration with other… Read More »