Monday, April 26, 2021

Knowledge Management to Increase Efficiency and Productivity

Knowledge management (KM) has become both an important topic driven by a number of industry trends, foremost among them the strong and growing interest in artificial intelligence (AI). A knowledge base (KB) can serve as the centralized source of knowledge for an organization, providing the data needed to feed an AI solution. 

Interest in KM is also being driven by its ability to help companies achieve many of their top enterprise servicing goals: improving productivity, increasing the use of self-service, decreasing customer effort, reducing operating costs, improving cross-departmental coordination, increasing customer and staff engagement, and delivering a better, more personalized customer experience.

This is a major and long overdue turnaround for the KM, which has taken many years to catch the attention of organizations. The question that organizations are now asking is whether KM solutions are able to meet their needs in the era of digital transformation.

KM Awakening

The new generation of KM solutions, many of which are relatively new market entrants, are either up to the digital challenge or are benefiting from investments to get them there. These solutions are built to run in the cloud (although many can also be placed in a private cloud or on premises); use the newest database technology; incorporate responsive design techniques to allow delivery of content to many groups of internal and external users in a variety of channels; depend on highly sophisticated and fast-search software to speed the delivery of information; and embed content management functionality to enable the collection and preparation of all types of data from an unlimited number of sources. 

Many of these solutions also incorporate a KM framework such as knowledge center support to help users roll out and apply their solutions effectively.

Differentiating between KM, search, and content management software has always been a challenge. In fact, a good KM solution depends on content management techniques to enable it to capture, structure, and properly store data. 

KM ensures that the right components of the data are delivered in a manner appropriate for each group (agents, IT staff, back-office employees, executives, customers, partners) and in a format appropriate for each channel (live agent, web self-service, voice self-service, email, chat, SMS, video, social media). When it comes to data sharing, a KM solution is the heart, and it pumps knowledge out to where it is needed, when it is needed, to keep an organization running properly.

Changing KM's Perception and Value Proposition

Major technical innovations during the past few decades are enabling a new generation of KM solutions. But this is only a small part of the developments that are altering the perception of KM. 

In the past, KM solutions were sold to customer service, contact centers, technical support, field service, and other departments that were dependent upon having a source of information to address customer inquiries. 

The value proposition was that a KM solution could replace or lessen the need for staff training and reduce the average handling time with customers. Essentially, KM solutions were sold to enhance productivity and reduce operating costs while improving service quality and first-contact resolution (FCR).

The problem was that employees did not like using many of the KM solutions because the solutions slowed them down; instead of reducing the average handling time of inquiries and improving FCR, the opposite occurred, and agents were penalized. The solutions came with poorly designed interfaces, and the search capabilities were ineffective. 

In addition, agents learned not to rely on a KM solution’s answers because much of the information residing there was either out of date or inaccurate, and the process of keeping knowledge current was cumbersome, time consuming, and costly.

The situation is different today. Companies are anticipating much broader uses for their knowledge bases. Executives have bought into the concept of having a single version of the truth for organization's knowledge, particularly when the information can be rendered appropriately for each group of users. 

As a result, the number of potential KM users has increased, which is a significant game changer. Customers are also making it known that they prefer to use self-service over speaking to live agents, making it necessary to have a clean, accurate, and easy-to-update KB. 

Additionally, Millennial agents, who are now the primary employee demographic throughout  organizations, are wired to look up answers and are happy to use a KM solution, as long as it can quickly give them the accurate information they need. In other words, the current generation of KM solutions is delivering on its promise and has a proven and quantifiable value proposition, when supported by the right enterprise framework and culture.

The KM Competitive Landscape

The fundamental KM concepts still stand, but how they are addressed varies by vendor. Each solution is unique, with an assortment of underlying technology and approaches. Vendors are entering the KM market from many IT sectors, including AI, customer relationship management (CRM), enterprise resource planning (ERP), IT service management (ITSM), workforce optimization (WFO), contact center infrastructure, professional services, and others. 

Some vendors sell only a KM solution; many others offer a KM capability as part of a suite of products, but do not offer it on a stand-alone basis.

The market is in the early stages of transformation, and a great deal more change is expected in the next few years. KM has remained more or less the same for decades, but this is expected to change as organizations get serious about creating a single source of knowledge. The opportunities are great for disruptive solutions to enter and transform this sector.

KM Needs a Framework and Best Practices

While the KM offerings have improved substantially, the primary challenge confronting this sector remains the acquisition, maintenance, and delivery of content. A KM solution is effective only if the underlying data is correct; if the data is inaccurate, it doesn’t matter how well organized or how fast and easy to deliver it is. 

Moreover, for a KM solution to work, a company needs to create an operating environment where all employees support the concept and practice of KM. It’s more than building a KM culture. An organization must institute a framework supported by internal infrastructure that facilitates the processes. It’s not about rewarding employees for authoring articles and using the KM solution. Instead, KM needs to become an inherent and essential component of what employees do on a daily basis.

Final Thoughts on KM

It’s taken a few decades, but KM is finally in the spotlight. AI is helping to push the KM agenda, and companies are getting on board with the idea of creating a single repository of enterprise knowledge, formal and “tribal”, as they consider its broad benefits for the organization, employees, partners, and customers. 

While it’s challenging to implement a KM solution, this is actually the easy part of the effort. More challenging is to set up the organization and processes to succeed with the transformation.

We have 20 years experience in KM. Please contact us today for a free consultation.

Wednesday, March 31, 2021

Digital Trust

While consumers have happily shared personal data on social platforms in return for greater connectivity and shared experiences, recent news about data harvesting has caused alarm. Many companies that rely on consumer insight are rethinking how to build digital trust and make it sustainable.

A study of 25,000 consumers across 33 countries, the majority of  92 % of which are U.S. consumers say it’s extremely important that companies protect their personal information. Another 79 % say it’s frustrating to realize that some cannot be trusted to use it appropriately. Lack of trust is one of the biggest reasons consumers switch companies.

And with the General Data Protection Regulation (GDPR), a regulation intended to strengthen data protection for EU citizens and let individuals decide which brands can use their personal data, good data stewardship is becoming critical to the success of every business globally.

The Importance of Insight

The ability to process personal data is critical to business in the digital age. Data-driven organizations rely on customer insights to help inform the development and design of products and services, the overall customer experience, and marketing strategy. From demographics to personal preferences, customer data allows companies to deliver hyper-relevant products, services, and experiences.

Some companies have built entire business models around the sale of anonymized personal data. Technology is creating opportunities for businesses to understand their customers on a deeper level and monetize this knowledge. Biometric, visual, genomic, and device data can allow ever-increasing degrees of personalization.

Personal data is a currency no business can afford to risk.

Earning Digital Trust

To earn digital trust, organizations' leaders have to eliminate anything that jeopardizes it. Companies looking to future-proof their customer data supply should take these measures:

• Deliver on their commitments. 83 % of U.S. consumers say it’s extremely frustrating when companies promise one thing but deliver another. An organization’s commitment to delivering promised experiences and meeting customers’ expectations is paramount to earning trust. Successful companies understand their baseline level of trust and eliminate issues or offers that detract from the trust. Otherwise they must reset their parameters.

• Establish rigorous governance. The only way trust can become sustainable is by establishing a rigorous process and a robust, cross-functional governance structure to continuously measure trust and hyper-relevant effectiveness and acting on the findings. Please see our posts on Information governance.

• Give customers full control over their data. As customers demand greater control over how companies use their personal information, organizations must become more transparent. Customers must be given full access to, and control over their data, which will demonstrate responsible stewardship and ethics. Furthermore, they must ensure that the appropriate safeguards are in place to protect it.

Some companies may look to adjust their profit models and potentially charge for services (i.e., “pay for privacy”) so customers are explicitly aware of the value being exchanged. That way companies could make money on direct interactions with customers as opposed to the derivatives of those interactions (i.e., selling insights or advertising). Or they could move from an information exchange relationship to a more classic view of understanding what customers need and having them pay for it.

More companies will undoubtedly assess their existing propositions and the economic viability of new models. But the question remains as to whether the underlying information and experience will become something that is merely expected, rather than something that customers would be willing to pay for.

The Path Forward

Digital trust is only sustainable when companies establish a rigorous process and governance structure. Most importantly, digital trust must be managed as the critical growth enabler it is. Companies will inevitably look to capture new categories of customer data such as biometric, geolocation, even genomic data in their drive for greater relevance. Customers' concerns will inevitably rise, so it’s critical that companies have strong data security and privacy measures in place, give customers full control over their data, and, crucially, are transparent with how they use it.

We have successfully implemented data security and data privacy in many organizations. Please contact us today for a free consultation.