Category Archives: CMO

The Data-Driven CMO: A Q&A with Glenn Gow (CEO of Crimson Research)

Q&A with Crimson Research

I recently had the opportunity to have a very interesting discussion with Glenn Gow, the CEO of Crimson Marketing.  I was impressed at what an interesting and smart guy he was, and with the tremendous insight he has into the marketing discipline.  He consults with over 150 CMOs every year, and has a pretty solid understanding about the pains they are facing, the opportunities in front of them, and the approaches that the best-of-the-best are taking that are leading them towards new levels of success.

I asked Glenn if he would be willing to do a Q&A in order to share some of his insight.  I hope you find his perspective as interesting as I did!

 crimson_logo

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Q: What do you believe is the single biggest advantage that marketers have today?

A: Being able to use data in marketing is absolutely your single biggest competitive advantage as a marketer.  And therefore your biggest challenge is capturing, leveraging and rationalizing that data.  The marketers we speak with tend to fall into two buckets.

  1. Those who understand that the way they manage data is critical to their marketing success.  These marketers use data to inform their decisions, and then rely on it to measure their effectiveness.
  2. Those who haven’t yet discovered that data is the key to their success. Often these people start with systems in mind – marketing automation, CRM, etc.  But after implementing and beginning to use these systems, they almost always come to the realization that they have a data problem.

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Q:  How has this world of unprecedented data sources and volumes changed the marketing discipline?

A:  In short… dramatically.  The shift has really happened in the last two years. The big impetus for this change has really been the availability of data.  You’ve probably heard this figure, but Google’s Eric Schmidt likes to say that every two days now, we create as much information as we did from the dawn of civilization until 2003.

We believe this is a massive opportunity for marketers.  The question is, how do we leverage this data.  How do we pull the golden nuggets out that will help us do our jobs better.  Marketers now have access to information they’ve never had access to or even contemplated before.  This gives them the ability to become a more effective marketer. And by the way… they have to!  Customers expect them to!

For example, ad re-targeting.  Customers expect to be shown ads that are relevant to them, and if marketers don’t successfully do this, they can actually damage their brand.

In addition, competitors are taking full advantage of data, and are getting better every day at winning the hearts and minds of their customers – so marketers need to act before their competitors do.

Marketers have a tremendous opportunity – rich data is available and the technology is available to harness it is now, so that they can win a war that they could never before.

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Q:  Where are the barriers they are up against in harnessing this data?

A:
  I’d say that barriers can really be broken down into 4 main buckets: existing architecture, skill sets, relationships, and governance.

  • Existing Architecture: The way that data has historically been collected and stored doesn’t have the CMO’s needs in mind.  The CMO has an abundance of data theoretically at their fingertips, but they cannot do what they want with it.  The CMO needs to insist on, and work together with the CIO to build an overarching data strategy that meets their needs – both today and tomorrow because the marketing profession and tool sets are rapidly changing.  That means the CMO and their team need to step into a conversation they’ve never had before with the CIO and his/her team.  And it’s not about systems integration but it’s about data integration.
  • Existing Skill Sets:  The average marketer today is a right-brained individual.  They entered the profession because they are naturally gifted at branding, communications, and outbound perspectives.  And that requirement doesn’t go away – it’s still important.  But today’s marketer now needs to grow their left-brained skills, so they can take advantage of inbound information, marketing technologies, data, etc.  It’s hard to ask a right-brained person to suddenly be effective at managing this data.  The CMO needs to fill this skillset gap primarily by bringing in people that understand it, but they cannot ignore it themselves.  The CMO needs to understand how to manage a team of data scientists and operations people to dig through and analyze this data.  Some CMOs have actually learned to love data analysis themselves (in fact your CMO at Informatica Marge Breya is one of them).
  • Existing Relationships:  In a data-driven marketing world, relationships with the CIO become paramount.  They have historically determined what data is collected, where it is stored, what it is connected to, and how it is managed.  Today’s CMO isn’t just going to the CIO with a simple task, as in asking them to build a new dashboard.  They have to collectively work together to build a data strategy that will work for the organization as a whole.  And marketing is the “new kid on the block” in this discussion – the CIO has been working with finance, manufacturing, etc. for years, so it takes some time (and great data points!) to build that kind of cohesive relationship.  But most CIOs understand that it’s important, if for no other reason that they see budgets increasingly shifting to marketing and the rest of the Lines of Business.
  • Governance:  Who is ultimately responsible for the data that lives within an organization?  It’s not an easy question to answer.  And since marketing is a relatively new entrant into the data discussion, there are often a lot of questions left to answer. If marketing wants access to the customer data, what are we going to let them do with it? Read it?  Append to it?  How quickly does this happen? Who needs to author or approve changes to a data flow?  Who manages opt ins/outs and regulatory black lists?  And how does that impact our responsibility as an organization?  This is a new set of conversations for the CMO – but they’re absolutely critical.

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Q:  Are the CMOs you speak with concerned with measuring marketing success?

A:  Absolutely.  CMOs are feeling tremendous pressure from the CEO to quantify their results.  There was a recent Duke University study of CMOs that asked if they were feeling pressure from the CEO or board to justify what they’re doing.  64% of the respondents said that they do feel this pressure, and 63% say this pressure is increasing.

CMOs cannot ignore this.  They need to have access to the right data that they can trust to track the effectiveness of their organizations.  They need to quantitatively demonstrate the impact that their activities have had on corporate revenue – not just ROI or Marketing Qualified Leads.  They need to track data points all the way through the sales cycle to close and revenue, and to show their actual impact on what the CEO really cares about.

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Q:  Do you think marketers who undertake marketing automation products without a solid handle on their data first are getting solid results?

A:
  That is a tricky one.  Ideally, yes, they’d have their data in great shape before undertaking a marketing automation process.  The vast majority of companies who have implemented the various marketing technology tools have encountered dramatic data quality issues, often coming to light during the process of implementing their systems. So data quality and data integration is the ideal first step.

But the truth is, solving a company’s data problem isn’t a simple, straight-forward challenge.  It takes time and it’s not always obvious how to solve the problem.  Marketers need to be part of this conversation.  They need to drive how they’re going to be managing data moving forward.  And they need to involve people who understand data well, whether they be internal (typically in IT), or external (consulting companies like Crimson, and technology providers like Informatica).

So the reality for a CMO, is that it has to be a parallel path.  CMOs need to get involved in ensuring that data is managed in a way they can use effectively as a marketer, but in the meantime, they cannot stop doing their day-to-day job.  So, sure, they may not be getting the most out of their investment in marketing automation, but it’s the beginning of a process that will see tremendous returns over the long term.

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Q:  Is anybody really getting it “right” yet?

A:  This is the best part… yes!  We are starting to see more and more forward-thinking organizations really harnessing their data for competitive advantage, and using technology in very smart ways to tie it all together and make sense of it.  In fact, we are in the process of writing a book entitled “Moneyball for Marketing” that features eleven different companies who have marketing strategies and execution plans that we feel are leading their industries.

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So readers, what do you think?  Who do you think is getting it “right” by leveraging their data with smart technology and truly getting meaningful an impactful results?

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Posted in Big Data, CMO, Customer Acquisition & Retention, Operational Efficiency, Vibe | Tagged , , , , , , | Leave a comment

Right Product, Right Customer, Right Place – The Informed Purchase Journey

The Informed Purchase Journey

The way we shop has changed. It’s hard to keep up with customer demands in a single channel, much less many. Selling products today has changed and always will. The video below shows how today’s customer takes The Informed Purchase Journey:

“Customers expect a seamless experience that makes it easy for them to engage at every touchpoint on their “decision journey. Informatica PIM is key component on  transformation from a product centric view to a consumer experience driven marketing with more efficiency.” – Heather Hanson – Global Head of Marketing Technology at Electrolux

Selling products today is:

  • Shopper-controlled. It’s never been easier for consumers to compare products and prices. This has eroded old customer loyalty and means you have to earn every sale.
  • Global. If you’re selling your products in different regions, you’re facing complex localization and supply chain coordination.
  • Fast. Product lifecycles are short. Time-to-market is critical (and gets tougher the more channels you’re selling through).
  • SKU-heavy. Endless-aisle assortments are great for margins. That’s a huge opportunity, but product data overload due to the large number of SKUs and their attributes adds up to a huge admin burden.
  • Data driven. Product data alone is more than a handful to deal with. But you also need to know as much about your customers as you know about your products. And the explosion of channels and touch points doesn’t make it any easier to connect the dots.

Conversion Power – From Deal Breaker To Deal Maker

For years, a customer’s purchase journey was something of “An Unexpected Journey.” Lack of insight into the journey was a struggle for retailers and brands. The journey is fraught with more questions about product than ever before, even for fast moving consumer goods.

Today, the consumer behaviors and the role of product information have changed since the advent of substantial bandwidths and social buying. To do so, lets examine the way shoppers buy today.

  • Due to Google shoppers use 10.4 sources in average (zero moment of truth ZMOT google research)
  •  133% higher conversion rate shown by mobile shoppers who view customer content like reviews.
  • Digital devices’ influence 50% of in-store purchase behavior by end of 2014 (Deloitte’s Digital Divide)

How Informatica PIM 7.1 turns information from deal breaker to deal maker

PIM 7.1 comes with new data quality dashboards, helping users like category managers, marketing texters, managers or ecommerce specialists to do the right things. The quality dashboards point users to the things they have to do next in order to get the data right, out and ready for sales.

Eliminate Shelf Lag: The Early Product Closes the Sale

For vendors, this effectively means time-to-market: the availability of a product plus the time it takes to collect all relevant product information so you can display it to the customer (product introduction time).

The biggest threat is not the competition – it’s your own time-consuming, internal processes. We call this Shelf Lag, and it’s a big inhibitor of retailer profits. Here’s why:

  • You can’t sell what you can’t display.
  • Be ready to spin up new channels
  • Watch your margins.

How Informatica PIM 7.1 speeds up product introduction and customer experience

“By 2017… customer experience is what buyers are going to use to make purchase decisions.” (Source: Gartner’s Hype Cycle for E-Commerce, 2013) PIM 7.1 comes with new editable channel previews. This helps business users like marketing, translators, merchandisers or product managers to envistion how the product looks at the cutomer facing webshop, catalog or other touchpoint. Getting products live online within seconds, we is key because the customer always wants it now. For eCommerce product data Informatica PIM is certified for IBM WebSphere Commerce to get products ready for ecommerce within seconds.

The editable channel previews helps professionals in product management, merchandizing, marketing and ecommerce to envision their products as customers are facing it. The way of “what you see is what you get (WYSIWYG)” product data management improves customer shopping experience with best and authentic information. With the new eCommerce integration, Informatica speeds up the time to market in eBusiness. The new standard (certified by IBM WebSphere Commerce enables a live update of eShops with real time integration.

The growing need for fast and s ecure collaboration across globally acting enterprises is addressed by the Business Process Management tool of Informatica, which can now be used for PIM customers.

Intelligent insights: How relevant is our offering to your customers?

This is the age of annoyance and information overload. Each day, the average person has to handle more than 7,000 pieces of information. Only 25% of Americans say there are brand loyal. That means brands and retailers have to earn every new sale in a transparent world. In this context information needs to be relevant to the recipient.

  • Where do the data come from? How can product information auto-cleansed and characterizing into a taxonomy?
  • Is the supplier performance hitting our standards?
  • How can we mitigate risks like hidden costs and work with trusted suppliers only?
  • How can we and build customer segmentations for marketing?
  • How to build product personalization and predict the next logical buy of the customer?

It is all about The Right product. To the Right Person. In the Right Way. Learn more about the vision of the Intelligent Data Plaform.

Informatica PIM Builds the Basis of Real Time Commerce Information

All these innovations speed up the new product introduction and collaboration massively. As buyers today are always online and connected, PIM helps our customer to serve the informed purchase journey, with the right information in at the right touch point and in real time.

  1. Real-time commerce (certification with IBM WebSphere Commerce), which eliminates shelf lag
  2. Editable channel preview which help to envision how customers view the product
  3. Data quality dashboards for improved conversion power, which means selling more with better information
  4. Business Process Management for better collaboration throughout the enterprise
  5. Accelerator for global data synchronization (GDSN like GS1 for food and CPG) – which helps to improve quality of data and fulfill legal requirements

All this makes merchandizers more productive and increases average spend per customer.

Find out how the new release of Informatica PIM 7.1 helps you to unleash conversion power on the customer’s informed purchase journey.

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Posted in B2B, B2B Data Exchange, CMO, Manufacturing, Master Data Management, PiM, Product Information Management, Retail | Tagged , , , | Leave a comment

Marketing in a Data-Driven World… From Mad Men to Mad Scientist

Are Marketers More Mad Men or Mad Scientists?

I have been in marketing for over two decades. As I meet people in social situations, on airplanes, and on the sidelines at children’s soccer games, and they ask what it is I do, I get responses that constantly amuse me and lead me to the conclusion that the general public has absolutely no idea what a marketer does. I am often asked things like “have you created any commercials that I might have seen?” and peppered with questions that evoke visions of Mad Men-esque 1960’s style agency work and late night creative martini-filled pitch sessions.

I admit I do love to catch the occasional Mad Men episode, and a few weeks ago, I stumbled upon one that had me chuckling. You may remember the one that Don Draper is pitching a lipstick advertisement and after persuading the executive to see things his way, he says something along the lines of, “We’ll never know, will we? It’s not a science.”

How the times have changed. I would argue that in today’s data-driven world, marketing is no longer an art and is now squarely a science.

Sure, great marketers still understand their buyers at a gut level, but their hunches are no longer the impetus of a marketing campaign. Their hunches are now the impetus for a data-driven, fact-finding mission, and only after the analysis has been completed and confirms or contradicts this hunch, is the campaign designed and launched.

This is only possible because today, marketers have access to enormous amounts of data – not just the basic demographics of years past. Most marketers realize that there is great promise in all of that data, but it’s just too complicated, time-consuming, and costly to truly harness it. How can you really ever make sense of the hundreds of data sources and tens of thousands of variables within these sources? Social media, web analytics, geo-targeting, internal customer and financial systems, in house marketing automation systems, third party data augmentation in the cloud… the list goes on and on!

How can marketers harness the right data, in the right way, right away? The answer starts with making the commitment that your marketing team – and hopefully your organization as a whole – will think “data first”. In the coming weeks, I will focus on what exactly thinking data first means, and how it will pay dividends to marketers.

In the mean time, I will make the personal commitment to be more patient about answering the silly questions and comments about marketers.

Now, it’s your turn to comment… 

What are some of the most amusing misconceptions about marketers that you’ve encountered?

- and -

Do you agree? Is marketing an art? A science? Or somewhere in between?

Are Marketers More Mad Men or Mad Scientists?

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Don’t Rely on CRM as Your Single Source of Trusted Customer Data

Step 1: Determine if you have a customer data problem

A statement I often hear from marketing and sales leaders unfamiliar with the concept of mastering customer data is, “My CRM application is our single source of trusted customer data.” They use CRM to onboard new customers, collecting addresses, phone numbers and email addresses. They append a DUNS number. So it’s no surprise they may expect they can master their customer data in CRM. (To learn more about the basics of managing trusted customer data, read this: How much does bad data cost your business?)

It may seem logical to expect your CRM investment to be your customer master – especially since so many CRM vendors promise a “360 degree view of your customer.” But you should only consider your CRM system as the source of truth for trusted customer data if:

Shopper
For most large enterprises, CRM never delivered on that promise of a trusted 360-degree customer view.

 ·  You have only a single instance of Salesforce.com, Siebel CRM, or other CRM

·  You have only one sales organization (vs. distributed across regions and LOBs)

·  Your CRM manages all customer-focused processes and interactions (marketing, service, support, order management, self-service, etc)

·  The master customer data in your CRM is clean, complete, fresh, and free of duplicates


Unfortunately most mid-to-large companies cannot claim such simple operations. For most large enterprises, CRM never delivered on that promise of a trusted 360-degree customer view. That’s what prompted Gartner analysts Bill O’Kane and Kimbery Collins to write this report,
 MDM is Critical to CRM Optimization, in February 2014.

“The reality is that the vast majority of the Fortune 2000 companies we talk to are complex,” says Christopher Dwight, who leads a team of master data management (MDM) and product information management (PIM) sales specialists for Informatica. Christopher and team spend each day working with retailers, distributors and CPG companies to help them get more value from their customer, product and supplier data. “Business-critical customer data doesn’t live in one place. There’s no clear and simple source. Functional organizations, processes, and systems landscapes are much more complicated. Typically they have multiple selling organizations across business units or regions.”

As an example, listed below are typical functional organizations, and common customer master data-dependent applications they rely upon, to support the lead-to-cash process within a typical enterprise:

·  Marketing: marketing automation, campaign management and customer analytics systems.
·  Ecommerce: e-commerce storefront and commerce applications.
·  Sales: sales force automation, quote management,
·  Fulfillment: ERP, shipping and logistics systems.
·  Finance: order management and billing systems.
·  Customer Service: CRM, IVR and case management systems.

The fragmentation of critical customer data across multiple organizations and applications is further exacerbated by the explosive adoption of Cloud applications such as Salesforce.com and Marketo. Merger and acquisition (M&A) activity is common among many larger organizations where additional legacy customer applications must be onboarded and reconciled. Suddenly your customer data challenge grows exponentially.  

Step 2: Measure how customer data fragmentation impacts your business

Ask yourself: if your customer data is inaccurate, inconstant and disconnected can you:

Customer data is fragmented across multiple applications used by business units, product lines, functions and regions.

Customer data is fragmented across multiple applications used by business units, product lines, functions and regions.

·  See the full picture of a customer’s relationship with the business across business units, product lines, channels and regions?  

·  Better understand and segment customers for personalized offers, improving lead conversion rates and boosting cross-sell and up-sell success?

·  Deliver an exceptional, differentiated customer experience?

·  Leverage rich sources of 3rd party data as well as big data such as social, mobile, sensors, etc.., to enrich customer insights?

“One company I recently spoke with was having a hard time creating a single consolidated invoice for each customer that included all the services purchased across business units,” says Dwight. “When they investigated, they were shocked to find that 80% of their consolidated invoices contained errors! The root cause was innaccurate, inconsistent and inconsistent customer data. This was a serious business problem costing the company a lot of money.”

Let’s do a quick test right now. Are any of these companies your customers: GE, Coke, Exxon, AT&T or HP? Do you know the legal company names for any of these organizations? Most people don’t. I’m willing to bet there are at least a handful of variations of these company names such as Coke, Coca-Cola, The Coca Cola Company, etc in your CRM application. Chances are there are dozens of variations in the numerous applications where business-critical customer data lives and these customer profiles are tied to transactions. That’s hard to clean up. You can’t just merge records because you need to maintain the transaction history and audit history. So you can’t clean up the customer data in this system and merge the duplicates.

The same holds true for B2C customers. In fact, I’m a nightmare for a large marketing organization. I get multiple offers and statements addressed to different versions of my name: Jakki Geiger, Jacqueline Geiger, Jackie Geiger and J. Geiger. But my personal favorite is when I get an offer from a company I do business with addressed to “Resident”. Why don’t they know I live here? They certainly know where to find me when they bill me!

Step 3: Transform how you view, manage and share customer data

Why do so many businesses that try to master customer data in CRM fail? Let’s be frank. CRM systems such as Salesforce.com and Siebel CRM were purpose built to support a specific set of business processes, and for the most part they do a great job. But they were never built with a focus on mastering customer data for the business beyond the scope of their own processes.

But perhaps you disagree with everything discussed so far. Or you’re a risk-taker and want to take on the challenge of bringing all master customer data that exists across the business into your CRM app. Be warned, you’ll likely encounter four major problems:

1) Your master customer data in each system has a different data model with different standards and requirements for capture and maintenance. Good luck reconciling them!

2) To be successful, your customer data must be clean and consistent across all your systems, which is rarely the case.

3) Even if you use DUNS numbers, some systems use the global DUNS number; others use a regional DUNS number. Some manage customer data at the legal entity level, others at the site level. How do you connect those?

4) If there are duplicate customer profiles in CRM tied to transactions, you can’t just merge the profiles because you need to maintain the transactional integrity and audit history. In this case, you’re dead on arrival.

There is a better way! Customer-centric, data-driven companies recognize these obstacles and they don’t rely on CRM as the single source of trusted customer data. Instead, they are transforming how they view, manage and share master customer data across the critical applications their businesses rely upon. They embrace master data management (MDM) best practices and technologies to reconcile, merge, share and govern business-critical customer data. 

More and more B2B and B2C companies are investing in MDM capabilities to manage customer households and multiple views of customer account hierarchies (e.g. a legal view can be shared with finance, a sales territory view can be shared with sales, or an industry view can be shared with a business unit).

 

Gartner Report, MDM is Critical to CRM Optimization, Bill O'Kane & Kimberly Collins, February 7 2014.

Gartner Report, MDM is Critical to CRM Optimization, Bill O’Kane & Kimberly Collins, February 7 2014.

According to Gartner analysts Bill O’Kane and Kimberly Collins, “Through 2017, CRM leaders who avoid MDM will derive erroneous results that annoy customers, resulting in a 25% reduction in potential revenue gains,” according to this Gartner report, MDM is Critical to CRM Optimization, February 2014.

Are you ready to reassess your assumptions about mastering customer data in CRM?

Get the Gartner report now: MDM is Critical to CRM Optimization.

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Posted in CMO, Customer Acquisition & Retention, Customers, Data Governance, Master Data Management, Mergers and Acquisitions | Tagged , , , , , , , , , , , , , , , , | Leave a comment

Guest interview with Jorij Abraham: author of the first book about PIM and founder of E-commerce Foundation

Jorij AbrahamJorij Abraham is the founder of the E-commerce Foundation, a non-profit organization dedicated to helping organizations and industries improve their e-commerce activities. He advises companies on e-commerce strategy, Omnichannel development and product information management. He also works as Director Research & Advise for Ecommerce Europe.

He’s written a fine book about PIM but don’t expect a technical book at all! This is what marketing teams, merchandisers, product category teams, digital strategist, should be reading.

Like him or not, when he talks you’d better listen!

Michele: Let’s start with a view on the PIM market. Where are we globally?

Jorij: We are just starting. Most retailers still do not realize how important product information is to sell digital. In some countries the expectation is that in 2020 30 – 50% of all consumer goods are bought online. PIM no longer is an option. It is essential to be successful now and in the upcoming years.

M.: What was the main inspiration behind the book? It is definitely the first book about PIM but I am sure the motivation runs a bit deeper than that.

J.: The fact that there is very little in depth information available about the subject triggered me to write the book. However, I got a lot of help from experts from Unic and the different software vendors and was very happy with all the great research Heiler had already done in the area.

M.: Who should be reading your book?

J.: I wrote the book for a broad audience; managers, employees responsible for product information management, marketers, merchandisers, and even students! There are chapters covering the basics and how a PIM can help a company on a strategic, tactical and operational level. Few later chapters are devoted to helping product information officers implement a PIM system and choose the right PIM solution.

M.: I see that in your book you cover a good number of big PIM vendors. What is the future for those who target mid-market businesses?

J.: If you look at the overall market I think we will see a large shake out in the industry. We will have very big players like Amazon, Ebay, Walmart and lots of niche players. The medium sized business will have a difficult time to survive. All will be in need for a PIM system however.

M.: What’s your take on the different PIM vendors out there? I personally see different flavours of PIM such as those more commerce friendly, as opposed to those more ERP friendly, or just minimalist PIM solutions.  

J.: In the book I discuss several solutions. Some are for companies starting with PIM others are top of the line. Especially for larger firms with lots of product information to manage I recommend to make a larger investment. Low-end PIM solutions are a good choice if you expect your needs will remain simple. However if you know that within two or three years you will have 100.000 products, in multiple languages with lots of attributes, do not start with a simple solution. Within 1.5 years you will have to migrate again and the costs of migration are not worth the licence costs saved.

PIM Book Jorij AbrahamM.: In your view, what are the major inhibitors for PIM adoption?

J.: There are many strategic, tactical and operational benefits. Managers have difficulties understanding the ROI because it is indirect. PIM can improve traffic to your site, increase conversion ratio, and reduce returns.

M.: Would it be easier to promote PIM in combination to a WCMS platform? More generally, is there a case to promote PIM as part of a greater strategic thrust?

J.: I personally prefer systems which are great at doing what they are meant to do. However it very much depends on the needs of the company. Combining a PIM with a WCMS are mixing two solutions with very different goals. Hybris is an example of a complete solutions. If you want to buy everything at once, it is a good choice. However what I like very much about the Heiler/Informatica solution is that is great at doing what is says it does. Especially the user friendliness of the system is a big plus. Why? Because if a PIM fails it usually is because of the low user adaptation.

M.: What would you suggest to Australian retailers who are clearly reluctant to adopt PIM primarily because of limited local references (at least on large scale)?

J.: Retail in Australia is going the same way as everywhere else. Digital commerce will be a fact of life and a PIM is essential to be successful online. Look at the proof in the Asia, Europe and the USA. PIM is here to stay.

M.: Is PIM now what ERP was in the 90s and CRM at the beginning of the millennium? In other words, will it ever become a commodity?

J.: I think so. But we are really at the start of PIM. CRM is anno 2014 not yet really a part of most IT architectures. So we have a long way to go…

M.: Let’s talk about the influence exerted by analyst firms such as Gartner, Forrester, and Ventana. What’s your view on this? Are they moving the market? They put a lot of effort in trying to differentiate themselves. For example, see how Gartner MDM Quadrant for Products combine MDM and PIM players.

J.:I think the research agencies in general do not get PIM yet to the full extent. It is still a niche market and they are combining solutions which in my view is not helping the business and IT user. I have seen companies buy an MDM solution expecting to support their PIM processes. MDM is very different from PIM although its goals overlap. I often see that PIM has much more end-users, requires faster publication processes. There are only a few solutions in the market which really combine MDM and PIM in a sensible way.

M.: Looking at your book, I noticed that you spend a great deal of effort in unearthing what I’d call ‘PIM core concepts”. However, while the core concepts are stable, being a technology-enabled discipline PIM will undergo ongoing enhancements. What is your view on this?

J.: This is a tough question. In fact, few chapters in my book may go out of date soon. For example, PIM providers are popping up and it’s hard to keep up. On a more important note, I also see the following trends:

a) The cloud is going to have a fundamental impact on PIM solutions. It will hard to sell an on-premise solution to companies that are very much focused on their core business and outsourcing everything else (e.g. Retailers)

b) I see companies working much more intensively to collect and disseminate accurate product information. This is costly and operational inefficient if it is undertaken in isolation. In fact, there’s room to improve the overall supply chain by integrating product information across different parties, e.g. suppliers, manufactures, and retailers.

c) Finally, I see the emergence of the social as another key development in the PIM space. Just think about the contribute that consumers are providing when they shop online and share their experience on the social platforms or provide a product recommendation and/or ranking. This is product information and PIMs need to incorporate that in the overall product enrichment.

M.: Thank you Jorij. This has been a fantastic opportunity for me and my readers to learn more about you and the great work you are doing.

J.: It is great that you are putting so much effort in sharing information about product information management. Only in such a way companies can start to understand the value of PIM and increase both sales as well as reduce costs.

The book is available on Springer website, Amazon, Bookdepository, and many other book stores.

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MDM Day Advice: Connect MDM to a Tangible Business Outcome or You Will Fail

“Start your master data management (MDM) journey knowing how it will deliver a tangible business outcome. Will it help your business generate revenue or cut costs? Focus on the business value you plan to deliver with MDM and revisit it often,” advises Michael Delgado, Information  Management Director at Citrix during his presentation at MDM Day, the InformaticaWorld 2014 pre-conference program. MDM Day focused on driving value from business-critical information and attracted 500 people.

A record 500 people attended MDM Day in Las Vegas

A record 500 people attended MDM Day in Las Vegas

In Ravi Shankar’s recent MDM Day preview blog, Part 2: All MDM, All Day at Pre-Conference Day at InformaticaWorld, he highlights the amazing line up of master data management (MDM) and product information management (PIM) customers speakers, Informatica experts as well as our talented partner sponsors.

Here are my MDM Day fun facts and key takeaways:

  • Did you know that every 2 seconds an aircraft with GE engine technology is taking off somewhere in the world?

    Ginny Walker, Chief Enterprise Architect at GE Aviation

    Ginny Walker, Chief Enterprise Architect at GE Aviation

    GE Aviation’s Chief Enterprise Architect, Ginny Walker, presented “Operationalizing Critical Business Processes: GE Aviation’s MDM Story.” GE Aviation is a $22 billion company and a leading provider of jet engines, systems and services.  Ginny shared the company’s multi-year journey to improve installed-base asset data management. She explained how the combination of data, analytics, and connectivity results in productivity improvements such as reducing up to 2% of the annual fuel bill and reducing delays. The keys to GE Aviation’s analytical MDM success were: 1) tying MDM to business metrics, 2) starting with a narrow scope, and 3) data stewards. Ginny believes that MDM is an enabler for the Industrial Internet and Big Data because it empowers companies to get insights from multiple sources of data.

  •  Did you know that EMC has made a $17 billion investment in acquisitions and is integrating more than 70 technology companies?
    Barbara Latulippe, EMC

    Barbara Latulippe, Senior Director, Enterprise Information Management at EMC

    EMC’s Barbara Latulippe, aka “The Data Diva,” is the Senior Director of Enterprise Information Management (EIM). EMC is a $21.7 billion company that has grown through acquisition and has 60,000 employees worldwide. In her presentation, “Formula for Success: EMC MDM Best Practices,” Barbara warns that if you don’t have a data governance program in place, you’re going to have a hard time getting an MDM initiative off the ground. She stressed the importance of building a data governance council and involving the business as early as possible to agree on key definitions such as “customer.” Barbara and her team focused on the financial impact of higher quality data to build a business case for operational MDM. She asked her business counterparts, “Imagine if you could onboard a customer in 3 minutes instead of 15 minutes?”

  • Did you know that Citrix is enabling the mobile workforce by uniting apps, data and services on any device over any network and cloud?

    Michael Delgado, Citrix

    Michael Delgado, Information Management Director at Citrix

    Citrix’s Information Management Director, Michael Delgado, presented “Citrix MDM Case Study: From Partner 360 to Customer 360.” Citrix is a $2.9 billion Cloud software company that embarked on a multi-domain MDM and data governance journey for channel partner, hierarchy and customer data. Because 90% of the company’s product bookings are fulfilled by channel partners, Citrix started their MDM journey to better understand their total channel partner relationship to make it easier to do business with Citrix and boost revenue. Once they were successful with partner data, they turned to customer data. They wanted to boost customer experience by understanding the total customer relationship across products lines and regions. Armed with this information, Citrix employees can engage customers in one product renewal process for all products. MDM also helps Citrix’s sales team with white space analysis to identify opportunities to sell more user licenses in existing customer accounts.

  •  Did you know Quintiles helped develop or commercialize all of the top 5 best-selling drugs on the market?

    John Poonnen, Quintiles

    John Poonnen, Director Infosario Data Factory at Quintiles

    Quintiles’ Director of the Infosario Data Factory, John Poonnen, presented “Using Multi-domain MDM to Gain Information Insights:How Quintiles Efficiently Manages Complex Clinical Trials.” Quintiles is the world’s largest provider of biopharmaceutical development and commercial outsourcing services with more than 27,000 employees. John explained how the company leverages a tailored, multi-domain MDM platform to gain a holistic view of business-critical entities such as investigators, research facilities, clinical studies, study sites and subjects to cut costs, improve quality, improve productivity and to meet regulatory and patient needs. “Although information needs to flow throughout the process – it tends to get stuck in different silos and must be manually manipulated to get meaningful insights,” said John. He believes master data is foundational — combining it with other data, capabilities and expertise makes it transformational.

While I couldn’t attend the PIM customer presentations below, I heard they were excellent. I look forward to watching the videos:

  • Crestline/ Geiger: Dale Denham, CIO presented, “How Product Information in eCommerce improved Geiger’s Ability to Promote and Sell Promotional Products.”
  • Murdoch’s Ranch and Home Supply: Director of Marketing, Kitch Walker presented, “Driving Omnichannel Customer Engagement – PIM Best Practices.”

I also had the opportunity MDM Day Sponsorsto speak with some of our knowledgeable and experienced MDM Day partner sponsors. Go to Twitter and search for #MDM and #DataQuality to see their advice on what it takes to successfully kick-off and implement an MDM program.

There are more thought-provoking MDM and PIM customer presentations taking place this week at InformaticaWorld 2014. To join or follow the conversation, use #INFA14 #MDM or #INFA14 #PIM.

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Posted in Business Impact / Benefits, Business/IT Collaboration, CIO, CMO, Customer Acquisition & Retention, Customers, Data Governance, Data Integration, Data Quality, Enterprise Data Management, Informatica World 2014, Master Data Management, Partners, PiM, Product Information Management, Uncategorized | Tagged , , , , , , , , , , , , , , , , , , , , | 1 Comment