At the confluence of Enterprise Search 2.0 and Knowledge Management

Understanding the Evolution from Disparate Data to Informative Insights



Data, by its very nature, is difficult to find and to analyze because it’s stored in so many places, with no way to search through it or correlate it across systems to derive meaning from it.

As a recent Fast Company interview with Coveo CEO Louis Têtu stated, people who could remember all of this information, and easily correlate it—mentally—were those who succeeded most often. However, the amount of unstructured data makes it impossible for an individual to know everything that’s occurring related to a specific topic, at any point in time. Add in social media channels which contain up to the minute data, and you have an unbelievably complex information mess.  How can an individual, much less all employees in a company, gain insight from such widespread, diverse data in disparate systems?

Well if all of these systems could be connected to each other so we could all understand, assimilate and correlate the information to make effective decisions, provide great service, help customers understand more about our products, and even build more innovative products that contained customer input – from all of our interactions with them—well, that might solve our problem.  But would it? Do integrations provide the kind of real-time information mashup that would be required? Not really.  Even so, it’s not news that the promise of system consolidation has long eluded companies and we’ve all heard the horror stories about dashboards taking a year to implement, and then they are just windows into different systems rather than actual data mashups.

Every organization wants to generate Insight from its data sources, and many probably think they’re doing a solid job in this area. However, most aren’t gleaning the level of insight they could, and it could be simply that this type of technology is new to the corporate world, though it has been used by consumers for years now – just take a look at Yahoo! Finance to see what I mean.

Until companies adopt the central, unified index approach, they may continue to suffer from what we call “Insight Deficit.” Here are some symptoms that may be familiar to you:

  1. Employees are frustrated that they need to attend additional training sessions because they can’t see data in the right context.
  2. Customers are dissatisfied with long response times and feel that your company doesn’t really know them.
  3. Mistakes happen more than you’d care to admit because employees simply can’t find the information needed to make fast, accurate decisions.
  4. Products are taking longer to get to market than they should.

If you’re interested in finding out how to think about injecting Insight into business processes from customer service to engineering/product development and sales & marketing, you may want to view an eBook we recently published on making 2012 the year of insight for your organization.   Please take a look, and share how you are leveraging today’s overload of data to gain better insight into your customers, projects, products and people. Looking forward to the conversation.

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It’s All About Relationships!



With Valentine’s Day upon us this week, many of us will be celebrating the love of family and friends and those relationships that bring us closer together.  The whole concept of relationships is important, not only in real life but in terms of data and information sharing — how relationships between data points creates Insight and leads to business value and intelligence.

Here at Coveo we often discuss the importance of Insight — leveraging the full breadth and depth of information available across your organization.  As we all know, this can include all subsets of data –structured and unstructured – email, voicemail, digital channels and more.  We’ve also discussed the importance of being a customer-centric organization.

Now, what does this mean in delivering a better business value?  In the most basic of terms, it means that through the use of  multi-channel text analytics, correlations amongst the vast amounts of data distributed throughout the enterprise, in the cloud, and social channels, can be identified, parallels drawn and information exploited to its fullest potential – whether in the form of better customer service, improved brand perception or increased employee performance.  Its correlating these information relationships across various sources that give companies great insight into their business.

Take for example the restaurant industry.  Beyond good food, there is an expectation of good service and consistency of delivery from the first drink order until the last dessert is served.  If not done properly, this day can be a disaster for any restaurateur.

So how does that tie to information sharing?

For some time now, we have worked with a large-scale restaurant chain that recognized early on the importance of a consistent service experience as part of its brand.  As part of employee training and development, the company established a “Know-How” online community for its 1.2 million associates to access information – everything from best practices for upselling particular products and promotions to branding rules and regulations for a more consistent experience.

By pulling together all of this information into a single source and correlating that data into a digestible format that is easily searchable by every employee, the restaurant chain is more easily able to train its employees and disseminate information in a timely manner for on-the-fly promotions and best practice sharing.  Moreover, the company can deliver a consistent experience associated with the brand, regardless of location.

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Understanding the Building Blocks of Insight



Our latest eBook, “2012 Guide to an Insightfull Customer-Centric Organization,” helps organizations understand how to leverage the Insight inside their enterprise and social data and move towards a more customer-centric model of business. Over the next few weeks, I’ll share additional thoughts on each of the 10 steps that we advise companies follow to create stronger, more productive and customer-focused organizations.

Recently, I wrote about the shift from being a product-centric organization to a customer-centric organization. As you look to make that journey, the first step is to understand what knowledge capital is, where it resides, and how it can be turned into Insight in order to move towards a customer-centric environment.

Wikipedia defines knowledge capital as “the concept which asserts that ideas have intrinsic value which can be shared and leveraged within and between organizations.” However, ask 10 different people within your company to define it and you will get 10 different answers. Wikipedia defines knowledge as the human capacity to take effective action in varied or uncertain circumstances. To many companies, it simply means data, which is a gross over simplification of the term. While data is a variable in the formula that equates to knowledge, on its own, it is just a building block. Data is just data until it is combined to become information. It is the interaction with humans that turns information into knowledge.

And today, data is everywhere – it is no longer in only structured systems. It is unstructured and resides in voicemails and emails and even social media. Imagine how much Insight could be gleaned from truly understanding what your customers are saying about you on Twitter, inin discussion forums, and in all channels into your company—consolidated and correlated with information about their products and history? And then imagine how that could impact everything from how you market and sell your product, how you develop your product(s), how your service customers, and more.

To understand how turning data into knowledge and then into Insight can impact everything from customer service to engineering and development to sales and marketing, check out the first step – “Understanding the Building Blocks of Insight” – in our eBook.

How do you define knowledge capital and what do you consider to be the important building blocks within your organization to developing Insight?

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Embrace Chaos for Customer Centricity



Last week during a webinar discussion with Michael Maoz of Gartner, Leo Annab from CA Technologies and our CEO, Louis Tetu, I asked where each would recommend that a leader get started on the road to customer centricity. Not surprisingly, the answers were a fitting end to a wide-ranging, intellectually stimulating discussion about:

• The nature of knowledge and Insight, applied to customer centricity
• How CA Technologies has evolved its approach to managing and accessing information to place customers at the center of operations
• How Gartner sees the relationship between customer service, marketing and product development, which again is centered in knowledge and information

Michael recommended that a great place to start with Customer Centricity is “from the outside in,” with an online forum for customers, where they would show “the good, the bad and the ugly.” Here, according to Michael, companies can learn where they do well, where they need to improve and what is most important to their customers, enabling them to prioritize programs for their customers.

Indeed, early in the discussion, Louis noted that being customer centric is about being centered around listening, responding to and solving customer issues rather than pushing and telling customers about the company’s products and services—aka, a product centric-approach. It is a distinct shift in the way organizations do business—and even use things like social channels. For example, for brands, Twitter should no longer be about telling your followers about the latest product news or company awards; it should be about asking followers for what they want to see from your products and solutions and how you can make them more efficient, effective, etc.

Leo recommended that leaders “embrace chaos and work your policies around information for crowd-sourcing,” noting that many corporate policies can obstruct the free flow of information. Louis echoed Leo’s comments and added that “this is the new reality,” that companies can no longer afford to view every customer as the same. “Every situation has a different context,” he said. Leaders should “embrace chaos, and enable Insight.”

You can access the recorded Q&A from the discussion here.

What do you think—is your organization capable of “embracing chaos” to become customer centric? How do you go about about moving from a product-centric environment to a customer-centric one?

Diane, I couldn't agree more with the concept of starting from the "outside in". I am still shocked at how many company's are product / channel centric and forget that there are customers on the other end that have needs to be met. I helped lead the transformation of a major financial institution to a customer centric model, following many of the ideas discussed - the link is attached if you are interested. http://wp.me/P28Mqi-14
Posted by Vele Galovski onJanuary 27, 2012 at 12:27 PM

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Better Insight Drives Customer Centricity



Does this sound familiar: “This year, we will build our business processes to center on the customer.” Or, “This year, we will enhance the customer experience.”

While placing customers at the center of operations and enhancing their experiences are common goals, they are not often successful initiatives. Too often, companies execute on customer centricity only in marketing and customer service—leaving out parts of the organization that have information important to enabling customer centricity and a better experience, and importantly, to ensure products are created that meet customers’ evolving needs. The often ignored Engineering/Product Development & Sales departments can also benefit from access to customer information within customer service and marketing. Conversely, the information they “own” would be well-used by Customer Service and Marketing..

Customer-centric operations place the customer in the middle of all operations. Consolidated customer, product, sales and marketing information can drive transformational results. One company delivering on the objective of customer centricity may provide some best practices for others to follow.

CA Technologies, the world’s leading independent IT management software company, helps customers optimize IT for better business results. With $4.5 billion in revenue and over 1,000 products, the company’s goal is to be a market leader in all of its areas of focus. Its strategy is, in part, to delight its customers by helping them succeed.

CA Technologies has been able to able to improve its performance by putting customer information from all channels at the center of its operations for customer service, engineering and sales and marketing. The company reduced information silos and complexity, developed processes that ensure customer centricity and are extracting insight from customer interactions, communities and enterprise information from 70+ internal systems and using it every day across its entire organization – from Sales and Marketing to Support to R&D/Engineering.

And the results have been significant: the company has experienced global internal collaboration among 13,000 employees; a 10 percent increase in customer satisfaction on its self-service website; and a significant reduction in customer service issue resolution time in the contact center.

CA Technologies and Gartner are joining us tomorrow for a powerful discussion on the benefits & best practices of unifying customer information across all departments and all channels—even social media. They will share how you can drive transformational results in your organization as well, with higher levels of Insight. Join us for the discussion, which will include a moderated Q&A, to share how your company approaches customer centricity.

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Can Knowledge Be Engineered?



Considering that knowledge is ostensibly the most valuable asset of an organization—hence the term “knowledge capital”—it is not only interesting but perhaps essential to consider if knowledge can be engineered. If we can engineer knowledge—which would equate to better Insight, as Insight is the ability to gain knowledge to take action—we would in effect increase the efficiency and effectiveness of operations in, say, Engineering.

In Engineering departments particularly, knowledge is king, and yet information is in multiple, siloed systems and engineers and others are often unable to leverage it. Many organizations tend to confuse knowledge with information. Whereas information is just the combination of the data residing in a vast array of systems and sources, knowledge is the human capacity to take action facing a complex situation; for example, building a better product.

In Engineering, we have siloed information, which is not turned into knowledge through human interaction because in fact the engineers cannot access it in a way that makes sense—which requires consolidation, conversion and correlation. Moreover, with the growing wave of baby-boomer retirees, knowledge within SMEs cannot be tapped by others in the organization, creating the potential for it to be lost completely.

Now, consider even more departments within engineering, for complex products, say a health-related product or sophisticated electronics. The problem expands.

We have yet to consider the next level of information siloization—in departments outside of Engineering, which house information key to the development process—Customer Service and Sales (customer comments on existing products and marketplace demand).

The symptoms of “Insight Deficit” within Engineering include:

  • • New employees are not aware of work conducted prior to their arrival, and often redo work that has been done before.
  • • Senior technicians and scientists are highly inefficient as they are unable to use even pieces of tests which had been previously conducted.
  • • Product quality may suffer due to the lack of root cause analysis—understanding every piece of every product and where it came from, what the materials are composed of, how it works with other materials and parts.
  • • Knowledge is “tribal” —in sub-departments, cliques of employees, etc.
  • • Highly paid employees create and re-create single-use documents.

Ultimately, these symptoms combine to make it difficult for the company as a whole to go to market quickly with innovative products that include input from customers as well as those who are not yet customers. Products lack differentiation, and the threat of commoditization becomes more real.

The opposite of Insight Deficit is Insightfull operations. Engineers can easily view information mashups from a Unified Indexing Platform, which securely pulls always-updated information from all of these siloed systems, including individual desktop information, enterprise systems, departmental systems, even social media where customers are commenting.

This helps:

  • • Reduce time to market;
  • • Increase R&D productivity;
  • • Increase development of innovative and differentiated products;
  • • Leverage IP for competitive advantage; and
  • • Increase flexibility to support different/changing business needs.

In effect, the Engineering department becomes able to capture, convert and deliver data and information for useful technical insight. They continually build and share knowledge to increase R&D competitive differentiation using innovation to combat commoditization and increasing profitability.

How does your company “engineer knowledge”?

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Steps to Unstructured Data Nirvana



In my last blog we looked at the nature of mercurial data and identified two truths: 1. It is constantly changing; and 2. It exists in silos. Here, we will talk about what some companies are doing to use diverse and ubiquitous unstructured data to transform their businesses.

Monitor. This is the first step that most companies have taken to get involved with unstructured, social media data related to their business. Listening can provide certain benefits, too, such as helping you to understand what people are saying about you. However, listening without responding doesn’t do much for your business. Many organizations use text analytics on individual social media streams and communities, which again may be a good first step (Zach Hofer-Shall, an analyst with Forrester who covers Customer Intelligence, refers to this step as “crawling” – as in crawl-walk-run – in his Roadmap to Integrating Social and Customer Data). This analysis generally creates more data around a single data stream (the social platform) which is subject to data characteristic #2 – it is siloed, generally within marketing or customer support, and also #1, it grows old and requires updating. This first step is generally inadequate because it does not relate the social data (or other data that is being monitored, such as phone calls or chat logs in the call center) to other data that will lend it meaning and provide the insight to take action.

Integrate. Organizations can most effectively monitor and analyze—and take action based upon—unstructured data across multiple channels simultaneously—but only if it is connected. Historically this would have required system integration—which consumes too many resources and takes too much time. There is another faster and more optimal way, particularly considering the transient nature of data. A unified index of data—think about it as a virtual integration—is today’s best practice for efficient and non-disruptive data connection.

Analyze. Performing Multi-Channel Text Analytics on the unified index enables relationships to be formed among the unstructured data—in real time—to provide a much more accurate picture of what is happening now and to provide the key information for decision-making and action: Is this a trend? Should we respond to this and if so, how? Is it an individual issue and thus less relevant? Or is it an individual issue related to one of our most valued customers? Such decisions require insight, available only by exposing consolidated and correlated knowledge, to human interpretation. In these examples, the organization would have integrated and analyzed unstructured data from social media and customer communities alongside data from CRM systems, product defect tracking systems, email communication, chat, voice and more.

Importantly, the unstructured data must be presented in interfaces that facilitate human interaction: allowing employees, customers and partners to navigate and make sense of it, in effect to discover new ideas, new relationships and new ways to drive business, all thanks to its unlocking the latent knowledge capital. Today, there is a new category of software being established—insight solutions. These solutions are aimed at mining the mountains of primarily unstructured data to support business processes and presenting it in ways that enable humans to unlock its potential. And with this comes the ability to truly unleash the power of your data – no matter where it resides.

How is your company gaining value from unstructured data?


The Nature of Data



Like all persons, places and things, data has certain characteristics. A child may be mercurial, for example, but data is far more so – it is everywhere at once. Perhaps that is why we have a hard time understanding the nature of data. It is so different from our own nature, and we try to manipulate data to…well, to make it more like us.

Unstructured data, in particular, resides everywhere at once and in many different formats. It is in the enterprise and in many places outside the enterprise; it can be in the form of text, video, voice or graphics; it can be contained in event or message data, rich media data; and more and more, it can be living within social media.

While many people may resist change, data embraces it – constantly evolving and changing and in effect replacing itself over and over again. Data is able to do what the movie The Matrix attempted to do with people. While it may be interesting to look at historic data—like old pictures—in light of the constant growth and evolution of data, combined with the break-neck speed of business today, it is far more critical to gain an accurate picture of data as it exists today, in this moment, in order to take immediate action.

While we humans move from place to place, data exists in siloes. It exists where it was created, and often, where it was moved once it had been created (and where it often lacks updating—no new clothing styles of haircuts for this data). It is siloed by department, within organizations, by social media platforms, outside of organizations, by organizations themselves, by geography (within multi-national companies), and in many cases, by subject matter experts – the individuals. And data doesn’t talk to each other, at least not without some major integration work happening.

Precisely because unstructured data has these characteristics, constantly changing and growing and existing in siloes, it cannot be stored efficiently over time and still provide the type of insight most companies need to transform their performance. What exists today may be gone tomorrow, replaced, tweaked or just outdated by entirely new data. What exists in siloes cannot be combined with other data, or, in many cases, even found by those outside the silo. This is why it is critical to not only allow data to exist where it naturally resides (so it remains fresh) it is also important to connect the data in real time to enable actionable insight. In my next blog we’ll talk about how companies are getting this right—particularly joining social and enterprise data.

Now, maybe you’re not exactly like Neo, but how are you like data?


The Customer Interaction Hub Goes Prime Time



Dreamers dream, analysts analyze and predict, and technology wizards build solutions for tough problems. We’ve just seen an instance of pure serendipity with a well-respected analyst’s prediction and the vision and execution of a group of technology wizards: the Customer Interaction Hub, or, in our words, the Insight Console.

One of the reasons we decided to host a webinar last week with Esteban Kolsky and Louis Tetu was to highlight the coming together of unrelated strands of strategy. Another CRM industry analyst and the proclaimed Father of Social CRM, Paul Greenberg put the wheels in motion to bring together Esteban’s vision with Coveo’s reality. Indeed, we found that Esteban’s forward-thinking vision from a decade ago – bringing together all customer interactions regardless of channel that was used – was prescient. Since then channels have continued to expand, and, rather than being reduced, the number of systems used by most companies has doubled. Indeed, the promise of a single platform for customer service could not be farther from reality today, even with CRMs taking on more and more functionality. Information continues to proliferate outside of systems of record – the vast majority of data is unstructured – and a large part of it is beyond the control of the enterprise, in social media. Not only is this data unstructured, and so does not fit in a structured database – it is complex and varied, in multiple formats. Seemingly, the dream of the Customer Interaction Hub would be farthest from reality at this point; however, technology advances have made it not only possible, but achievable in less time than originally imagined, and with tremendous results that allow costs to be reduced, while customer satisfaction increases.

Esteban blogged about this meeting of the minds. We were pleased to work with yet another forward-thinking industry expert with a vision that matches our own. I hope you enjoy the webinar recording and share your thoughts about it.


Consumption Economics or, It’s All About Trust



At the Technology Services World conference last week in Las Vegas, the technology-company-stampede-to-the-cloud was on everyone’s lips. The Technology Services Industry Association (TSIA) calls this Consumption Economics: Customers will consume bits of products over time as opposed to buying the whole enchilada at once (In fact, JB Wood, who runs TSIA, has written a book on it).

Importantly, while this means a different financial model for most organizations (as I learned when running marketing for one of the first cloud-based companies, Taleo, from 2000-2005), it will also require an even greater focus on satisfying customers. Basically, with a cloud-based business—particularly if it is subscription-based—you are asking customers to trust that you will—at least over the course of the subscription—continue to deliver the quality, innovations and reliability that you deliver today. It takes great focus on customer service to a) keep that customer satisfied for the term of your relationship; and b) ensure that they re-up when the term has ended. Sometimes, that term is very short – I am using your product today; and sometimes it is long – I sign a three-year subscription.

Customers using cloud-based technologies are often social-media savvy and may indeed be more apt to mention issues on Twitter, for example, even in B2B. But, we also see this trend with non-cloud-based B2B companies—and we expect it to increase as companies move to the cloud. And of course customer and developer communities are becoming more important than ever as a means to collaborate, communicate with and support customers.

Integrating social media data with enterprise data is a wave for which we see a swelling need. That’s why we introduced a connector to Twitter with our v7.0 platform. Coveo customers, such as CA Technologies, index their community data along with their CRM(s), knowledge base(s) and defect database(s) and more—in fact, CA is indexing 70 different systems. Now, they can index what customers are saying about them on Twitter, as well.

It’s all about trust, and trust is an easy thing to lose. Particularly if a customer calling your contact center, or interacting via a chat session, knows more about your products and/or the issue they are facing, than does the contact center agent with whom they are interacting. Coveo’s Insight Consoles, built on top of our Unified Index of information from social media, enterprise systems, and yes, systems in the cloud, can help to ensure this never happens.