How LinqIQ Works
In an age of digital transformation where data is a primary asset, having a clean and consistent view into customer relationships can be a competitive advantage. Linq provides Clients a clean and continuously maintained customer account hierarchy to derive accurate conclusions from their go-to-market data. In this blog post, we will outline the methods Linq
LinqIQ Use Case: Mitigating Cost of Rep Conflict
One of the core use cases of leveraging a Master Data Management Lite framework is to help identify and remediate potential sales conflicts across enterprise customers as early as possible. The opportunity cost of conflict can be significant, and in the case of post-merger integrations, it can lead to significant value erosion of both expected
Global Customer ID – The Key to Unlocking the Value of Linq
While we get excited talking about our technologies like advanced grouping and matching algorithms, Linq has the most tangible impact by providing you two keys that can unlock value across your CRM and ERP instances. Each and every Account record from your CRM and ERP instances is assigned a LinqGlobalParentID (first key) and a LinqParentID
Decision and Approach
This is the third of three posts outlining the challenges, alternatives, and decision processes we faced in our customer data journey that led to the inception of Linq Analytics. Please check out our prior posts for parts one and two. As our leadership team evaluated the customer data options in front of us, cost and
Alternatives to Legacy MDM Solutions
As we indicated in our prior blog post, we were trying to solve our customer data management issues and accomplish the following objectives: Improve our understanding of product ownership and white space across our global customer base Mitigate sales team overlap in account coverage (and therefore mitigate expensive rep conflict) Reduce manual data manipulation and
MDM Lite: The Start of Linq Analytics
Background In 2018, my analytics team and I were fighting an all-too-common battle: our marketing, product, sales, and finance teams wanted cleaner customer account data. They wanted it yesterday, yet nobody – ourselves included – was prepared to undertake a $2+ million investment over an 18-24 month period only to have semi-usable data that injected