Tag Archives: customer data
Fulfilling its duty after a 10-year journey, Rosetta dropped its lander, Philae, to gather data from the comet below.
Everything about the comet so far is both challenging and fascinating, from its advanced age – 4.6 billion years old, to its hard-to- pronounce name, Churyumov-Gerasimenko.
The size of Gerasimenko? Roughly that of lower Manhattan. The shape wasn’t the potato-like image some anticipated of a typical comet. Instead it had a form that was compared to that of a “rubber-duck,” making landing trickier than expected.
To add one more challenging feature, the comet was flying at 38,000 mph. The feat of landing the probe onto the comet has been compared to hitting a speeding bullet with another speeding bullet.
All of this would have been impossible if the ESA didn’t have serious data on the lofty goal they set forth.
As this was happening, on the same day there was a quieter landing: Salesforce and LinkedIn paired up to publish research they conducted on marketing strategies by surveying 900+ senior-level B2B and B2C marketers through their social networks about their roles, marketing trends, and challenges they face.
This one finding stood out to me: “Only 17% of respondents said their company had fully integrated their customer data across all areas of the organization. However, 97% of those ‘fully integrated’ marketing leaders said they were at least somewhat effective at creating a cohesive customer journey across all touchpoints and channels.”
While not as many companies were implementing customer data like they should, those who did felt the strong impact of the benefits. It’s like knowing the difference between interacting with a potato-shaped company, or a B2C, vs. interacting with a rubber-duck-shaped company, or a B2B, for example.
Efficient customer data could help you learn how to land each one properly. While the methods for dealing with both might be similar, they’re not identical, and taking the wrong approach could mean a failed landing. One of the conclusions from the survey showed there is a “direct link between how well a marketer integrated customer data and the self-reported successes of that brand’s strategy.”
When interviewed by MSNBC on the comet landing, Bill Nye, also known as “the Science Guy,” had many positive things to say on the historic event. One question he answered was why do programs like the ESA exist – or basically, why do we go to space?
Nye had two replies: “It raises the expectations of your society,” and “You’re going to make discoveries.”
Marketers armed with insights from powerful customer data can have their own “landing on a comet” moment. Properly integrated customer data means you’ll be making new discoveries about your own clientele while simultaneously raising the expectations of your business.
The world couldn’t progress forward without quality data, whether in the realm of retail or planetary science. We put a strong emphasis on validating and cleanse your customer data at the point of entry or the point of collection.
In 1991, when the World Wide Web was created, email then had the opportunity to evolve into the mainstream form of communication it is today.
The statistics for modern day email are staggering. Worldwide, there are 2.2 billion email users as of 2012, according to MarketingProfs.
With all these messages flying about, you know there’s going to be some email overload. Google’s Gmail alone has 425 million users worldwide. ESPs know people have too much email to deal with, and there’s a lot of noise out there. More than 75% of the world’s email is spam.
Gmail is one of the applications that recently responded to this problem, and all email marketers need to be aware.
On October 22, Google announced Inbox.
Google’s Inbox takes several steps to bring structure to the abundant world of email with these features:
- Categorizes and bundles emails.
- Highlights important content within the body of the email.
- Allows users to customize messages by adding their own reminders.
This latest update to Gmail is just one small way that the landscape of email marketing and audience preferences is changing all the time.
As we integrate more technology into our daily lives, it only makes sense that we use digital messages as a means of communication more often. What will this mean for email in the future? How will marketers adjust to the new challenges email marketing will present at larger volumes, with audiences wanting more segmentation and personalization?One easy way to stay on top of these and other changes to the e-mail landscape is talking to your peers and experts in the industry. Luckily, an opportunity is coming up — and it’s free.
Make sure you check out the All About eMail Virtual Conference & Expo on November 13. It’s a virtual event, which means you can attend without leaving your desk!
It’s a one-day event with the busy email marketer in mind. Register for free and be sure to join us for our presentation, “Maximizing Email Campaign Performance Through Data Quality.”
Other strategic sessions include email marketing innovations presented by Forrester Research, mobile email, ROI, content tips, email sending frequency, and much more. (See the agenda here.)
This conference is just one indication that email marketing is still relevant, but only if email marketers adjust to changing audience preferences. With humble beginnings in 1971 email has come a long way. Email marketing has the best ROI in the business, and will continue to have value long into the future.
In response to the growth, organizations seek new ways to unlock the value of their data. Traditionally, data has been analyzed for a few key reasons. First, data was analyzed in order to identify ways to improve operational efficiency. Secondly, data was analyzed to identify opportunities to increase revenue.
As data expands, companies have found new uses for these growing data sets. Of late, organizations have started providing data to partners, who then sell the ‘intelligence’ they glean from within the data. Consider a coffee shop owner whose store doesn’t open until 8 AM. This owner would be interested in learning how many target customers (Perhaps people aged 25 to 45) walk past the closed shop between 6 AM and 8 AM. If this number is high enough, it may make sense to open the store earlier.
As much as organizations prioritize the value of data, customers prioritize the privacy of data. If an organization loses a customer’s data, it results in a several costs to the organization. These costs include:
- Damage to the company’s reputation
- A reduction of customer trust
- Financial costs associated with the investigation of the loss
- Possible governmental fines
- Possible restitution costs
To guard against these risks, data that organizations provide to their partners must be obfuscated. This protects customer privacy. However, data that has been obfuscated is often of a lower value to the partner. For example, if the date of birth of those passing the coffee shop has been obfuscated, the store owner may not be able to determine if those passing by are potential customers. When data is obfuscated without consideration of the analysis that needs to be done, analysis results may not be correct.
There is away to provide data privacy for the customer while simultaneously monetizing enterprise data. To do so, organizations must allow trusted partners to define masking generalizations. With sufficient data masking governance, it is indeed possible for data obfuscation and data value to coexist.
Currently, there is a great deal of research around ensuring that obfuscated data is both protected and useful. Techniques and algorithms like ‘k-Anonymity’ and ‘l-Diversity’ ensure that sensitive data is safe and secure. However, these techniques have have not yet become mainstream. Once they do, the value of big data will be unlocked.
Bad data is bad for business. Ovum Research reported that poor quality data is costing businesses at least 30% of revenues. Never before have business leaders across a broad range of roles recognized the importance of using high quality information to drive business success. Leaders in functions ranging from marketing and sales to risk management and compliance have invested in world-class applications, six sigma processes, and the most advanced predictive analytics. So why are you not seeing more return on that investment? Simply put, if your business-critical data is a mess, the rest doesn’t matter.
Not all business leaders know there’s a better way to manage their business-critical data. So, I asked Dennis Moore, the senior vice president and general manager of Informatica’s MDM business, who clocked hundreds of thousands of airline miles last year visiting business leaders around the world, to talk about the impact of using accurate, consistent and connected data and the value business leaders can gain through master data management (MDM).
Q. Why are business leaders focusing on business-critical data now?
A. Leaders have always cared about their business-critical data, the master data on which their enterprises depend most — their customers, suppliers, the products they sell, the locations where they do business, the assets they manage, the employees who make the business perform. Leaders see the value of having a clear picture, or “best version of the truth,” describing these “master data” entities. But, this is hard to come by with competing priorities, mergers and acquisitions and siloed systems.
As companies grow, business leaders start realizing there is a huge gap between what they do know and what they should know about their customers, suppliers, products, assets and employees. Even worse, most businesses have lost their ability to understand the relationships between business-critical data so they can improve business outcomes. Line of business leaders have been asking questions such as:
- How can we optimize sales across channels when we don’t know which customers bought which products from which stores, sites or suppliers?
- How can we quickly execute a recall when we don’t know which supplier delivered a defective part to which factory and where those products are now?
- How can we accelerate time-to-market for a new drug, when we don’t know which researcher at which site used which combination of compounds on which patients?
- How can we meet regulatory reporting deadlines, when we don’t know which model of a product we manufactured in which lot on which date?
Q. What is the crux of the problem?
A. The crux of the problem is that as businesses grow, their business-critical data becomes fragmented. There is no big picture because it’s scattered across applications, including on premise applications (such as SAP, Oracle and PeopleSoft) and cloud applications (such as Salesforce, Marketo, and Workday). But it gets worse. Business-critical data changes all the time. For example,
- a customer moves, changes jobs, gets married, or changes their purchasing habits;
- a suppliers moves, goes bankrupt or acquires a competitor;
- you discontinue a product or launch a new one; or
- you onboard a new asset or retire an old one.
As all this change occurs, business-critical data becomes inconsistent, and no one knows which application has the most up-to-date information. This costs companies money. It saps productivity and forces people to do a lot of manual work outside their best-in-class processes and world-class applications. One question I always ask business leaders is, “Do you know how much bad data is costing your business?”
Q. What can business leaders do to deal with this issue?
A. First, find out where bad data is having the most significant impact on the business. It’s not hard – just about any employee can share stories of how bad data led to a lost sale, an extra “truck roll,” lost leverage with suppliers, or a customer service problem. From the call center to the annual board planning meeting, bad data results in sub-optimal decisions and lost opportunities. Work with your line of business partners to reach a common understanding of where an improvement can really make a difference. Bad master data is everywhere, but bad master data that has material costs to the business is a much more pressing and constrained problem. Don’t try to boil the ocean or bring a full-blown data governance maturity level 5 approach to your organization if it’s not already seeing success from better data!
Second, focus on the applications and processes used to create, share, and use master data. Many times, some training, a tweak to a process, or a new interface can be created between systems, resulting in very significant improvements for the users without major IT work or process changes.
Lastly, look for a technology that is purpose-built to deal with this problem. Master data management (MDM) helps companies better manage business-critical data in a central location on an ongoing basis and then share that “best version of the truth” with all on premise and cloud applications that need it.
Let’s use customer data as an example. If valuable customer data is located in applications such as Salesforce, Marketo, Seibel CRM, and SAP, MDM brings together all the business-critical data, the core that’s the same across all those applications, and creates the “best version of the truth.” It also creates the total customer relationship view across functions, product lines and regions, which CRM promised but never delivered.
MDM then shares that “mastered” customer data and the total customer relationship view with the applications that want it. MDM can be used to master the relationships between customers, such as legal entity hierarchies. This helps sales and customer service staff be more productive, while also improving legal compliance and management decision making. Advanced MDM products can also manage relationships across different types of master data. For example, advanced MDM enables you to relate an employee to a project to a contract to an asset to a commission plan. This ensures accurate and timely billing, effective expense management, managed supplier spend, and even improved workforce deployment.
When your sales team has the best possible customer information in Salesforce and the finance team has the best possible customer information in SAP, no one wastes time pulling together spreadsheets of information outside of their world-class applications. Your global workforce doesn’t waste time trying to investigate whether Jacqueline Geiger in one system and Jakki Geiger in another system is one or two customers, sending multiple bills and marketing offers at high cost in postage and customer satisfaction. All employees who have access to mastered customer information can be confident they have the best possible customer information available across the organization to do their jobs. And with the most advanced and intelligent data platform, all this information can be secured so only the authorized employees, partners, and systems have access.
Q. Which industries stand to gain the most from mastering their data?
A. In every industry there is some transformation going on that’s driving the need to know people, places and things better. Take insurance for example. Similar to the transformation in the travel industry that reduced the need for travel agents, the insurance industry is experiencing a shift from the agent/broker model to a more direct model. Traditional insurance companies now have an urgent need to know their customers so they can better serve them across all channels and across multiple lines of business.
In other industries, there is an urgent need to get a lot better at supply-chain management or to accelerate new product introductions to compete better with an emerging rival. Business leaders are starting to make the connection between transformation failures and a more critical need for the best possible data, particularly in industries undergoing rapid transformation, or with rapidly changing regulatory requirements.
Q. Which business functions seem most interested in mastering their business-critical data?
A. It varies by industry, but there are three common threads that seem to span most industries:
- MDM can help the marketing team optimize the cross-sell and up-sell process with high quality data about customers, their households or company hierarchies, the products and services they have purchased through various channels, and the interactions their organizations have had with these customers.
- MDM can help the procurement team optimize strategic sourcing including supplier spend management and supplier risk management with high quality data about suppliers, company hierarchies, contracts and the products they supply.
- MDM can help the compliance teams manage all the business-critical data they need to create regulatory reports on time without burning the midnight oil.
Q. How is the use of MDM evolving?
A. When MDM technology was first introduced a decade ago, it was used as a filter. It cleaned up business-critical data on its way to the data warehouse so you’d have clean, consistent, and connected information (“conformed dimensions”) for reporting. Now business leaders are investing in MDM technology to ensure that all of their global employees have access to high quality business-critical data across all applications. They believe high quality data is mission-critical to their operations. High quality data is viewed as the the lifeblood of the company and will enable the next frontier of innovation.
Second, many companies mastered data in only one or two domains (customer and product), and used separate MDM systems for each. One system was dedicated to mastering customer data. You may recall the term Customer Data Integration (CDI). Another system was dedicated to mastering product data. Because the two systems were in silos and business-critical data about customers and products wasn’t connected, they delivered limited business value. Since that time, business leaders have questioned this approach because business problems don’t contain themselves to one type of data, such as customer or product, and many of the benefits of mastering data come from mastering other domains including supplier, chart of accounts, employee and other master or reference data shared across systems.
The relationships between data matter to the business. Knowing what customer bought from which store or site is more valuable than just knowing your customer. The business insights you can gain from these relationships is limitless. Over 90% of our customers last year bought MDM because they wanted to master multiple types of data. Our customers value having all types of business-critical data in one system to deliver clean, consistent and connected data to their applications to fuel business success.
One last evolution we’re seeing a lot involves the types and numbers of systems connecting to the master data management system. In the past, there were a small number of operational systems pushing data through the MDM system into a data warehouse used for analytical purposes. Today, we have customers with hundreds of operational systems communicating with each other via an MDM system that has just a few milliseconds to respond, and which must maintain the highest levels of availability and reliability of any system in the enterprise. For example, one major retailer manages all customer information in the MDM system, using the master data to drive real-time recommendations as well as a level of customer service in every interaction that remains the envy of their industry.
Q. Dennis, why should business leaders consider attending MDM Day?
A. Business leaders should consider attending MDM Day at InformaticaWorld 2014 on Monday, May 12, 2014. You can hear first-hand the business value companies are gaining by using clean, consistent and connected information in their operations. We’re excited to have fantastic customers who are willing to share their stories and lessons learned. We have presenters from St. Jude Medical, Citrix, Quintiles and Crestline Geiger and panelists from Thomson Reuters, Accenture, EMC, Jones Lang Lasalle, Wipro, Deloitte, AutoTrader Group, McAfee-Intel, Abbvie, Infoverity, Capgemini, and Informatica among others.
Last year’s Las Vegas event, and the events we held in London, New York and Sao Paolo were extremely well received. This year’s event is packed with even more customer sessions and opportunities to learn and to influence our product road map. MDM Day is one day before InformaticaWorld and is included in the cost of your InformaticaWorld registration. We’d love to see you there!
See the MDM Day Agenda.
Ravi Shankar, vice president of Product Marketing for Master Data Management at Informatica explains why retailers need to focus on mastering their customer data in this short clip which goes into detail based on an article in Forbes: Why Retailers Need To Focus On Mastering Customer Data.
“When retailers can deepen their knowledge of the customer across all of today’s proliferating retail channels, they can strengthen customer loyalty, increase share of wallet, minimize operational costs and maximize profits. It sounds so simple – so why is it so hard?“
Last week, I posted this blog: Logitech MDM Case Study: Seven Lessons for Mastering Product and Customer Data (Part I of II) which shares highlights from recent webinar. Logitech’s Severin Stoll, Senior Business Engagement Manager of Global IT Solutions spoke with David Decloux, MDM technical lead in EMEA about Logitech’s Global MDM implementation, in which they are mastering product, customer and consumer data.
In this blog, I’ll share some of the highlights of the Q&A I led and results from two polls. (more…)
Logitech’s Severin Stoll, Senior Business Engagement Manager of Global IT Solutions participated in a webinar with David Decloux, MDM technical lead in EMEA about Logitech’s Global MDM Implementation.
Severin shared the business challenges that led the global electronics company to pursue an MDM program, their business requirements, and the seven lessons for mastering product and customer data. Their next step is mastering consumer data.
In the next two blogs I’ll share some of the highlights from the discussion, the Q&A session and the poll results from this popular webinar which attracted more than 800 registrants. (more…)
There are those who look at the emerging world of cloud computing as a trend to efficiency. It gives them the ability to leverage resources using much more cost effective models, where those resources are provisioned and shared amongst many consumers.
However, in the quest for efficiency, we often overlook the functionality of “the cloud.” Or, the usefulness of placing core features in a centralized location, which thus provides better control and governance, as well as efficiency. This leads to the placement of core enterprise data management services in the cloud, such as Master Data Management, or MDM. (more…)
I have been developing two ideas for customer data management: entities vs. roles and differentiation. In the last post I suggested that customer is not a data type, but rather a role that can be played by some core entity in some context, with some set of characteristics assigned to that role within that context. (more…)