Tag Archives: PIM

Consider PIM When (Re)Defining Your Direct-To-Consumer Model

directmodel

Over the past few years, we have assisted an increasing shift in customer behavior. Pervasive internet connectivity – along with the exponential adoption of mobile devices – has enabled shoppers to research and purchase products of all kinds, anytime and anywhere, using a combination of touch points they find most convenient. This is not a passing fad.

Consumers expect rich data and images to make purchase choices; business users require access to analytical data in order to make mission-critical decisions. These demands for information are driving a need for improved product data availability and accuracy. And this is changing the way businesses go to market.

A staggering number of stores and manufacturers are reforming their models to response to this challenge. The direct-to-consumer (DTC) model, while not new, is rapidly becoming the center stage to address these challenges. The optimal DTC model will vary depending on specific and contextual business objectives. However, there are many strategic benefits to going direct, but the main objectives include growing sales, gaining control over pricing, strengthening the brand, getting closer to consumers, and testing out new products and markets.

Supermarket Tube Informatica

Supermarket Tube Informatica

It is my contention that while the DTC model is gaining the deserved attention, much remains to be done. In fact, among many challenges that DTC poses, the processes and activities associated with sourcing product information, enriching product data to drive sales and lower returns, and managing product assortments across all channels loom large. More precisely, the challenges that need to be overcome are better exemplified by these points:

  • Products have several variations to support different segments, markets, and campaigns.
  • Product components, ingredients, care information, environmental impact data and other facets of importance to the customer.
  • People are visual. As a result, easy website navigation is essential. Eye-catching images that highlight your products or services (perhaps as they’re being performed or displayed as intended) is an effective way to visually communicate information to your customers and make it easier for them to evaluate options. If information and pictures are readily accessible, customers are more likely to engage.
  • Ratings, reviews and social data, stored within the product’s record rather than in separate systems.
  • Purchasing and sales measurements, for example, sales in-store, return rates, sales velocity, product views online, as well as viewing and purchasing correlations are often held across several systems. However, this information is increasingly needed for search and recommendation.

The importance of product data and its use, combined with the increased  demands on business as a result of inefficient, non-scaling approaches to data management, provide an imperative to considering a PIM to ‘power’ cross-channel retail. Once established, PIM users repeatedly report higher ROI. It is likely that we’ll see PIM systems rank alongside CRM, ERP, CMS, order management and merchandising systems as the pillars of cross-channel retailing at scale.

For all these reasons, choosing the right PIM strategy (and partner) is now a key decision. Get this decision wrong and it could become an expensive mistake.

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Posted in Business Impact / Benefits, Operational Efficiency, PiM, Product Information Management, Retail | Tagged , , , | Leave a comment

Big data? No. Actionable Data!

Actionable Data

Guest Post by Dale Denham, CIO at Geiger

The CFO and CEO want “Big Data”. However, everyone needs actionable data, including the CFO and CEO.

The problem lies in the little data. The little data is all the data that is floating all around your company unorganized including your duplicate customer records, your unmatched product numbers, and so on.

At Crestline, we have more data coming in today than ever before. We are utilizing this data in exciting ways to better serve our customers. Yet we still have room to improve in efficiency, data quality, and better understand the story behind the data.

Recently we implemented Informatica Product Information Management (PIM) which has been a huge success for our ability to deliver new products quickly to our customers through our web site and our print catalog. In the first 3 months of 2014 using our new PIM, we’ve exceeded the total products added and updated through all of 2013! We’ll be sharing our story at Informatica world May 12th in Las Vegas along with giving out some great giveaways from our fantastic selection of promotional products.

Beyond sharing our Informatica PIM success story, I’m most excited about the data governance track as we, like most people, can do a better job with our overall data governance. Having a chance to engage with and hear success stories on data governance from expert practitioners will help deliver more value to our organization.

It will also be fun to hear legendary Ray Kurzweil paint a mind-boggling portrait of the future of humanity, but the real value is in the breakout sessions and networking. Join me and hundreds of others as we descend on Las Vegas to get more from our data and use data to support our strategic initiatives. If you do come, be sure to join me at my session “Best Practices for Product Information Management in E-Commerce” to get some great tips as well as perhaps a very cool promotional product.

  1. To learn more about the conference and keynotes, click here.
  2. To register for Informatica World, click here.

Views expressed are those of the author and do not necessarily represent those of Geiger.

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Posted in Informatica World 2014, Product Information Management | Tagged , , | Leave a comment

Saint-Gobain sees “time to market improvement” using Informatica PIM

Every company wants to see a “time to market improvement.” The wisest companies know this is only possible once you’ve mastered your internal data. One such company is Saint-Gobain, a Netherlands-based distributor of building materials. Saint-Gobain has accelerated and enhanced their customer’s multichannel experience using Informatica Product Information Management (PIM). Using Informatica PIM, Saint-Gobain has unleashed the potential of their information in the following ways:

  1. Ecommerce product introduction: Before using Informatica PIM, it took about one week to update a product to the website – now it is done within a few minutes.
  2. Everywhere commerce: The mobile app helps construction workers, on-site, to learn the details and stock availability of nearly 100,000 products and parts.
  3. Cross-selling: In addition to selling roof tiles, Saint-Gobain is also offering additional materials and tools as an up-sell.
  4. Retail stores: In addition to direct distribution, St. Gobain also sells through retailers. These specialty retailers need to create individual customer quotes which contain potential cross-sell and up-sell items. With Informatica PIM the retailers can create these custom quotes more effectively.

In the video below, Ron Kessels, Saint-Gobain’s Deputy Director of E-Business, talks about how they bring products to market more quickly while creating more opportunities for up-selling building supplies.

If you’d like to learn how your retail business can bring products to market more quickly, consider attending the Informatica World 2014 RETAIL PATH. This collection of sessions will show how to create unique customer experiences with relevant information, analytics, and relationships between data and people. In addition, the pre-conference MDM Day offers a track on “Omnichannel Commerce and Supplier Optimization”.

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Posted in Informatica World 2014, Master Data Management, Product Information Management, Retail, Uncategorized | Tagged , , , , | 2 Comments

Get Smarter at MDM Day in NYC February 12th

“Opportunity for the large community to share experiences, lessons learnt, and help those that are starting the MDM journey get on the right track.”
– 2013 MDM Day Attendee

Next month, Informatica will host its third MDM Day conference. Our past two events in Las Vegas and London have been huge successes thanks to the active participation of our customers, partners, and colleagues. The conference is structured to provide opportunities for you to share your ideas, provide guidance to our product management team, and learn from other customers’ MDM and PIM journeys.

When:             February 12th, 8:30 AM – 5:00 PM
Where:           Westin Times Square
How:              
Register Here

(more…)

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Merchandizers, The Compromise Effect Has Gone – User Reviews Overcome Marketing Manipulation

I was recently boarding a flight in New York and started reading the New York Times. One article jumped out: “User reviews make it harder for marketers to manipulate.” A Stanford University research report proves a wealth of product information and user reviews is causing a fundamental shift in how consumers make decisions.

 Consumers rely more on one another

The latest research from Dr. Simonson and Emanual Rosen is based on an experiment performed decades ago at Duke University. In the experiment participants had to choose from a group of either two or three cameras. The research found that consumers chose the cheaper product when being offered two options, but when given three choices, most went with the middle one. It was called the “compromise effect,” which has been used by marketers to impact buying decisions.

But an updated version of the experiment allowed participants to read product ratings and reviews before choosing one of the three cameras. While a portion of the participants always choose the lowest-priced product, in this new scenario more participants are selecting the most expensive product over the middle-priced product based on customer reviews.

“The compromise effect is gone,” says Dr. Simonson in this New York Times article. The Book “Absolute Value” comes with a more in depth explanation: (http://www.absolutevaluebook.com/).

 product comparison

Imagine if you could own and control both customer opinion and product information? The next wave taking omnichannel commerce to the next level will address information relevancy at every channel and all customer interactions – called Commerce Relevancy.

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Posted in Manufacturing, Master Data Management, PiM, Product Information Management, Retail, Uncategorized | Tagged , , , , , | Leave a comment

Multichannel Data: Questions To Ask When Establishing Your Strategy

Do you know how good your multichannel data is? This blog covers four business objectives when accelerating multi channel commerce and which quality of product data is needed to deliver to that and a summary of questions to ask when establishing your strategy. These questions help ecommerce managers, category managers and marketers at retailers, distributors and brand manufacturers ask the right questions on product and customer data when establishing a multi channel strategy.

The Multichannel Challenge: Availability of Relevant Information

At every customer touch point, the ready availability of product information has a profound effect on buying decisions. If your customers can’t find what they’re shopping for, don’t understand how well your product meets their needs, or aren’t confident in their choice, they won’t complete their purchase.

When customers are researching or actively online shopping for products, research says 40 is the magic number:

  • 40 % of buyers intend to return their purchase at the time they order it.
  • 40  % order multiple versions of a product.
  • 40  % of all fashion product returns are the result of poor product information (Consumer electronics are 15,3%; Sources: Trusted Shops, 2012, Internet World Business 7.1.2013)

All the high-quality product data in the world is useless if an organization cannot leverage that data for quicker time to market, improved e-commerce performance, and greater customer satisfaction.

Wherewouldyoubuy_multichannel_PIM_Informatica_Blog

 

Four Business Objectives When Accelerating Multi Channel Commerce

This white paper comes with four common use cases that illustrate typical business objectives within a multichannel commerce strategy. When looking into your product information, here is a list of questions you might consider.

1. Increasing conversions and lowering return rates by ensuring that customers can access product information in an easy-to-consume form.

  • Where is the flawed content coming from?
  • What tools and incentives can we provide for suppliers to maintain the high quality content?
  • Which data quality processes should be automated first?
  • Do we need a bespoke data model to fit your requirements?
  • Can we effectively use industry standards for communicating with suppliers (such as GS1 or eClass)?

2. Lowering manual processing costs by merging the best product content from multiple suppliers.

  • How many product catalogs do we have and what are the processes that slow us down?
  • Who is responsible for the quality of the product information?
  • How can we define and enforce the objective and measurable policies?
  • Which supplier has best descriptions / certain translation, high-quality images / video / etc.?
  • How do we collaborate with our large and small suppliers to achieve best data quality?

3. Growing margins through “long tail” merchandising of a broader assortment of products.

  • Can we automate product classification?
  • Which taxonomy will work best for us?
  • Do all stakeholders have visibility of data quality metrics and trends?
  • How can we leverage information across all channels and customer touch points, not only ecommerce?

4. Increasing customer satisfaction through more consistent information and corporate identity across sales channels.

  • How should we connect customer and product information to provide personalized marketing?
  • How can we leverage supplier and location data for regional marketing?
  • How do we enable crowd sourcing of comments, reviews and user images?
  • What information do internal and external users need to access in real time?

Find more information with the complete white paper on multichannel commerce and data quality.

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Posted in Data Quality, Manufacturing, Master Data Management, PiM, Product Information Management, Real-Time, Retail, Uncategorized | Tagged , , , , , , | Leave a comment

The Success of Our First MDM Day Leads to a Second One in EMEA

Last Spring I told you about the overwhelming response we received to MDM Day, a special event that preceded Informatica World 2013. As I said, attendance at this event tripled our expectations, and we took this as a clear sign of the importance of MDM in today’s IT landscape. Unfortunately we couldn’t accommodate everyone, including a significant contingent from the EMEA region. So we’re very happy to announce a special MDM Day event that will take place on Tuesday, October 8th at the Grange City Hotel in London.

(more…)

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Posted in Master Data Management, PiM, Uncategorized | Tagged , , , , , , , , , | 1 Comment

Informatica and Heiler – Better Together

Access to information has always been extremely important to people and organizations. In an increasingly complex and interconnected world, data is an essential competitive advantage for companies. With rapidly growing data volumes, increased complexity, and high market speed, our goal is simple: to easily connect people and data.

Turning data into business outcomes has always been our value proposition at Heiler Software. Using the value of data and information potential is totally in line with the positioning of Informatica. Unleashing the potential of information will help to make the careers of our customers, partners and employees even better.

From beginning of all conversations, from the announcement of the acquisition in October 2012 until today, Informatica’s managers and employees always stuck to the promise they made. That is a great commitment for our employees and customers. Now Informatica has announced the exciting news that the acquisition of Heiler is completed.

Heiler is now a part of the Informatica family. Our entire team is looking forward to the future with Informatica. For Heiler, the door for an exciting and successful future is wide open. Informatica will provide our customers and our employees a promising perspective in a dynamic industry.

Hundreds of customers rely on Informatica’s multi-domain MDM platform to manage customer, location, and asset data, and synchronize accurate master data across operational and analytic systems. I am sure Informatica is committed to being a trusted partner and will work to ensure success with all Heiler’s products.

Heiler has just released PIM 7 to speed up the time to market with all products, across all sales and marketing channels. Also, since March 2013, Procurement 7.1 is available. Informatica is known for innovation. I am convinced that Informatica will continue investing in our business. Their goal is to generate real-time commerce business processes and create a unique customer experience for our customers’ business. Our award winning PIM fits in the Universal MDM strategy to deliver to one vision: Enabling our customers to offer the right product, for the right customer, from the right supplier, at the right time, via the right channels and locations. It is all about inspiring.

Joining the forces will allow our customers to leverage Informatica’s expertise in data quality and data integration to deliver greater business value. With Informatica’s Data Quality offerings, our customers will be able to further accelerate the introduction of your products to market. Additionally, customers will be able to easily onboard data from their suppliers, then distribute to its customers and partners electronically with Informatica B2B. We share a common goal to establish the combination of Informatica MDM and Heiler PIM as the gold standard in the industry.

Another benefit of the acquisition is that all customers will receive world-class support from Informatica’s Global Customer Support organization, which delivers a comprehensive set of support programs including 24×7 support across 10 regional support centers. Customers have ranked Informatica as #1 in customer satisfaction for seven years in a row. In addition, Informatica’s strong global partner ecosystem brings the right resources to solve business and technical challenges across more industries.

By reaching this important milestone my mission as CEO of Heiler Software AG will be fulfilled. Personally, I’m going to stay connected to Informatica and I am excited to get involved in the future of this excellent and innovative company.

The future of Universal MDM is close to my heart.

———————————————————-

Rolf-Heiler

 

Rolf J. Heiler, born 1959, married, three children, graduated in 1982 in Business management, majoring in IT and process organization. In 1987, Rolf Heiler founded Heiler Software GmbH. From 2000 Heiler Software was quoted on the stock exchange in 2000 in the “New Market” sector.

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A Case for Universal MDM: The Federation of Point-MDM Solutions

I’m at Barcelona this week for the European Gartner MDM Summit. I had a chance to catch up with one of the Gartner MDM analysts before the event, and we had a discussion about the growth of MDM.  He mentioned that MDM will become pervasive within the enterprise as organizations expand its use as a necessary foundation for governing all of their business-critical master data such as customers, products, and so on.

To solve their business problems accurately, companies seek targeted MDM solutions. For e.g., retail, distribution, and manufacturing companies use PIM for merchandising, distributing products, and supplier on-boarding, while financial services, healthcare, and high tech companies use customer MDM with their CRM, such as salesforce.com, for improving customer segmentation, cross-sell , and up-sell. (more…)

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Top 3 Trends in 2009 that Transformed the MDM Market

With the New Year dawning I wanted to look back at some industry trends from the past twelve months, and then look at ahead at what we’re likely to see in 2010. So, this week: recap. Next week: predictions.

“Multidomain MDM” Goes Mainstream
From its inception MDM was meant to be “multidomain” – a solution for multiple data types. This stood in contrast to CDI or PIM, each of which focuses on a single domain. But with CDI morphing into “MDM for Customer Data” and PIM to “MDM for Product Data,” the terminology got a bit muddled. Hence the somewhat redundant “multidomain MDM” came into common usage in 2009 to differentiate it from single-domain MDM. As we saw with the Gartner numbers that I reviewed in my last post, the obvious benefits of managing all domains via a single platform, easier maintenance, and the advantages of leveraging existing investments, are spurring increased adoption. Still, confusion remained over multidomain MDM in the last year, not just with terminology, but also with capabilities. I addressed this in a late November post, but to reiterate: It’s not just about the data model, a true multidomain MDM hub has to be able to model, cleanse, match and relate.

Proactive Data Governance Takes Root
Many IT decision-makers came to the realization in 2009 that reactive data governance is bad because it is not responsive to real-time business needs. Business users increasingly demanded real-time data availability and data stewards worked to put proactive data governance into place to meet these demands. My friend Dan Power covered this topic earlier this year, showing that authoring data directly in an MDM hub enables firms to decouple data entry from traditional CRM and ERP systems, and establish the hub as both the System of Entry and the System of Record.

Taking Aim At The Reference Data Problem
Early on in 2009 we started seeing a lot of customer activity around the “reference data problem” and that interest remained strong through the year. To quickly summarize: certain business processes, order-to-cash for instance, oftentimes use three or more different systems interacting with each other to complete the loop. If their “look-up code” data isn’t standardized (one uses “USA” the second “U.S.” the third “United States”) problems ensue. As a category, reference data is similar to, though distinct from, master data. Yet the similarities are such that effective MDM solutions are perfect for solving the reference data problem. My colleague Manish Sood blogged on this topic in detail here and here.

Be sure to come back next week to see our bold predictions for 2010!

 

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