Category Archives: CMO
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?
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:
· 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:
· 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).
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.
Guest interview with Jorij Abraham: author of the first book about PIM and founder of E-commerce Foundation
Jorij 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.
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.
“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.
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?
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?
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?
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?
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 to 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.