Ntara

Who else will be at B2B Online Connect this year? ??

Last call! PIMtalk webinar with inriver in one hour! https://lnkd.in/eCBP4aTu #PIM #PXM

Such a phenomenal group of presenters! Excited to hear from Alex Timlin of SAP, Andy Didyk of Ntara, Danny Pieters of Ctac, Rapha?l Iscar Gutierrez of Valtech, and one of my favorites Joakim Gavelin of inriver it will be such an amazing kickoff to #PIMTalk

PIMtalk webinar tomorrow! Register today: https://lnkd.in/e-BubYKQ Join Andy Didyk and other leaders in the PIM space for inriver's inaugural PIMtalk webinar tomorrow. They'll detail real-world PIM use cases for navigating: - Rising trend of online buying - Expanding volume of product data - Increasing number of product source systems - Increasing number of sales channels If your business is selling omnichannel, you don't want to miss this. Register here: https://lnkd.in/e-BubYKQ #PIM #PXM

?? PIM info from the experts ?? Join us for inriver's inaugural PIMtalk webinar. ??? Tues., March 25 ? 10:30 am EDT ? Register: https://lnkd.in/e-BubYKQ Joakim Gavelin will moderate a discussion between Ntara CEO Andy Didyk, Ctac's Danny Pieters, Valtech's Rapha?l Iscar Gutierrez, and SAP's Alex Timlin. Attendees will get first-hand accounts of successful PIM projects for companies navigating the complexities of omnichannel. Learn how these businesses use PIM to navigate: - Rising trend of online buying - Expanding volume of product data - Increasing number of product source systems - Increasing number of sales channels Register today for the webinar on Tuesday: https://lnkd.in/e-BubYKQ #PIM #PXM

Shoptalk people - what are you doing Wednesday night? Join our Jeff Bridges and members of the inriver team for our High Rollers event –?550 feet above the Las Vegas Strip. ?? open bar ?? amazing views ?? quality conversation Space is limited, so request your spot: https://lnkd.in/e-Y6FyDr #Shoptalk #ShoptalkVegas #Shoptalk2025

Do you know the difference in ???????????????? and ??????????? When it comes to data, it's a critical delineation. Simply put, “product” is what you market and “item” is what you sell. Apparel example: new shirt design launch. When developing a new product, you start at the “??????????????” level. - The product you want to sell: a new shirt. - How you’ll describe it - More explanatory details Before you can sell the shirt, you also need ????????-level attributes. - Colors, patterns, and sizes the shirt will come in - Variations with their own specific UPC code(s) - More granular details Organizing your product data in this way leads to more efficient product processes. Learn more in this article from Solutions Engineers Zachary Helbert and Joseph Hale. https://lnkd.in/eCSFEMtE #PIM #PXM

Join us next week as Andy Didyk joins this inriver panel to discuss how Ntara has helped clients overcome omnichannel complexity. Register here: https://lnkd.in/e-BubYKQ

Planning a PIM implementation? It could go one of two ways. 1: Quick time-to-value with minimal MVP - Rapid implementation - First step in a larger PIM initiative - Industry-specific data model templates - Easy-to-use discovery survey By using this quicker approach to PIM implementation, you build on our decade of PIM experience to show value faster. PIM Foundations is an easier implementation for those who need PIM in a hurry. 2: Strategic investment into custom PIM - Meets more requirements in first iteration - Prioritizes complex requirements - Prioritizes change management - Requires guidance on new data types, new channel launches, etc. PIM Foundations+ is for businesses that have more complex use cases. Learn more about Ntara's PIM implementations: https://lnkd.in/ecAW7rWW

Let's talk product data models ?? A successful product data model accommodates how your business organizes product data internally—and how it needs to be adjusted before sending it downstream to marketplaces, retail sites, or ecommerce. ?????? ???????? ??????????????: Your product data model shows what information needs to be captured for each product, including all the back-end and front-end information needed to publish well-rounded, fully enriched product descriptions. This empowers your team to capture the right information, leading to more effective digital commerce, i.e., more online sales. At Ntara, we have an established?product data auditing process. - Interview your product experts - Gather as much info as possible early in the process - Use that to build an initial data model iteration.??? - Identify several key attributes - Determine if those attributes belong on Product or Item levels - First, focus on most important attributes and key data objects - Then, iterate as we analyze data files and gather more infor The goal with product data modeling is to avoid “dirty data,” i.e., data that is inconsistently labeled, unorganized, incomplete, inaccurate, or duplicated.? All this directly impacts the success of your sales and marketing, so data cleanliness is a critical step towards the creation of a product data model and PIM implementation.? Learn more in this article from Solutions Engineer Jeremy Peterson. https://lnkd.in/emF75ruB #PIM #PXM