Topic "Master Data Management"
In my last blog about Product Experience Management (PxM), I talked about the difference between Product Information Management (PIM) and PxM, and who benefits from optimizing customer experience with personalized, contextualized and emotionally engaging product content. However, for successful PxM, digital marketing and ecommerce must connect product content with insights into their customers’ profiles and their supply chains. Customer Insights and Data Having a 360 view of customers is... more
Shoppers’ expectations are changing, both in B2B and B2C. As 98% of marketers believe that personalization advances customer relationships, it’s not surprising that digital marketing and commerce teams are constantly being challenged to design a smoother, more personalized product experience that attracts and retains customers. An IDC study predicts that by 2022, 35% of CX-focused... more
Master Data Management (MDM) is making a big impact in delivering real business value and allowing companies to unleash the power of their data across the enterprise. Because MDM solutions help business users to trust data across all systems in use, they can be applied to many data domains including customer intelligence (individual or organization),... more
Data is the new business currency, hence your CRM application and data are arguably the most important assets that you are leveraging. At the head of the CRM pack is Salesforce. Its staggering 20% market share equals the next four vendors combined. Ultimately, the CRM app and data can provide insights that can impact sales,... more
We know it can be hard to take a day away from the office, so a conference has to be really worthwhile to justify time out of your busy schedule. That’s why the headline promise of Informatica’s MDM 360 and Data Governance Summit is to “Transform customer experience with intelligent data.” We’ve been running this perennially well-attended event in the US for some... more
“Computers are taking over the world!” This may have been a common phrase heard 20 years ago, or yesterday depending on what you read or who you talk to. And that might just be the case, however there is still a key humanistic component to every automated system and algorithm. Knowledge. Computers don’t get smart... more
The investment in analytics has accelerated. In fact, for most organizations the investment in analytics has outpaced the investment in data management. Organizations have been in an ‘arms race’ to fuel their digital transformation with Next Best Action, Next Best Experience, and Next Best Offer analytic engines. Most have received mixed results. Insights have been... more
I experience Deja-Vu every single time I visit a CIO, VP IT or Analytics at a manufacturing organization. Then again, it does not really matter what industry the client operates in. The Deja-Vu has to do with the appearance of one or two staffers, often organizationally situated in the Line-of-Business IT function of a core... more
Whether you’re talking to supply chain executives in manufacturing, in distribution, or in retail, the pain points are the same: If they’re sourcing products or services from multiple vendors, they must address some or all of these five challenges to supplier information management. No trusted view: Supply chain executives struggle to get a... more
An organization’s data management journey is much like holiday shopping: sometimes the effort can feel long and complicated, but it ultimately leads to great outcomes. Just like embarking on a holiday shopping trip to your local mall or searching a variety of ecommerce sites, a “shopping trip” to solve your business’ data management challenges, begins... more