Leveraging Big Data to Fine Tune Customer Experiences

Whether you realize it or not, big data is at the heart of practically everything we do today. Billboard companies, for example, are now leveraging eye tracking and traffic pattern analysis to gauge interest among drivers. Chances are one of those drivers owns a 4G-enabled vehicle that can track such things as performance and maintenance history. That person can also now record and analyze their utility usage via smart home solutions—anywhere, anytime. On a more critical level, doctors can now record and analyze patients’ heartbeats and breathing patterns to develop life-saving predictive algorithms.

In today’s smart, digital world, big data has opened the floodgates to never-before-seen possibilities. It has the power to course-correct potentially devastating outcomes, and it’s become a necessity for continually refining the customer experience. If you ask us, though, the best customer experiences today are supported by customer journey analytics.

The Need for Customer Journey Analytics

Customer journey analytics is a process that requires tracking and analyzing the way customers use a combination of available channels to interact with an organization. These channels range from human interaction (like speaking with a contact center agent) to fully automated interactions to assisted service (like live chat and co-browsing).

The need for customer journey analytics is simple: data solutions of the past simply won’t meet the next-generation customer needs of today and the future. Consider that just 10 years ago, channels like Web chat and social media were in their infancy (Facebook had only been around for two years). At the same time, the world’s first smartphone had only been on the market for one year. A lot has happened to transform the customer experience in a very short amount of time. As companies move forward in today’s age of rapid tech innovation, they must be armed with the right data strategy.

As mentioned, customers today use a vast number of channels and devices to interact with the brands they love. Each channel and device offers its own set of diverse scenarios for linking to other channels and devices, making no two customer experiences the same. Companies must be able to understand customers’ actions on any given channel or device in order to infer insights and create anticipatory engagement at the individual account level. For instance, why did one customer choose to purchase a product in a retail store verses online? Or, why did a customer end a live chat session before his or her inquiry was handled?

This level of understanding requires a comprehensive view of the data gathered from all channels and interactions that proceeded the moment in question. Customer journey analytics is a process designed to provide this comprehensive view and deliver deep benefits organization-wide—so much so that 60% of all large organizations are expected to develop customer journey mapping capabilities by 2018, according to Gartner.

Making Customer Journey Analytics Work for You

Companies need a data-driven customer approach to survive—and it needs to be effective to thrive. Many companies, however, struggle with taking their customer data and turning it into actionable results. In fact, a 2015 study conducted by PwC found that 43% of companies obtain little tangible benefit from their data, while 23% derive no benefit whatsoever.

To effectively apply your data, you must first determine what you wish to achieve with your data in the first place. In other words, what key objectives do you hope to achieve or improve upon by using big data (or specifically, customer journey analytics)?

Not sure? Here are four core initiatives to start you on a path to maximize your customer journey analysis efforts:

  1. Enable self-service.

    Self-service options—especially mobile—are rapidly increasing in popularity. Just consider that in 2015, Apple users downloaded over 51,000 mobile apps per minute. Also last year, 90% of customers used their smartphones in stores to make price comparisons, research specific products, and check online reviews.

    In today’s mobile-first world, businesses should leverage customer journey analytics to develop a sophisticated and integrated mobile experience—one that seamlessly integrates self service into their mobile app via visual, in-app self-service options. Conversely, this experience should offer customers callback options (either immediate or scheduled), as well as mobile chat (automated or agent-assisted) and video service. In addition to offering a stellar mobile UX, businesses should ensure backend capabilities that intelligently route customers to agents based on available context in order to drive relevant, meaningful interactions.

  2. Improve resource matching. We live in a world today where cars can park themselves and doctors can 3D print new organs, yet we still struggle with routing callers to the right subject matter experts. The time for next-generation routing is now, and it all starts with improved resource matching—specifically, attribute-based matching. This means matching customers with agents based on rich context, business KPIs, and organizational goals across all work items, channels, and resources to drive segmentation, increase prioritization, and determine the best course of action per customer.

    This also means choosing the right resources for each customer, regardless of where the resources reside within the organization. The right subject matter expert, for example, could be a contact center agent, a supervisor in your billing department, or your VP of sales. Customer journey analytics provides a 360-degree view of available resources organization-wide to support this level of attribute-based matching.

  3. Increase agent awareness. Not only is it important to collect the right information, but it must also be presented in a way that is visually understandable and easily accessible for agents. Imagine, for example, an agent being able to see where a customer has been on the company’s website over the last month, as well as that person’s live chat interactions last week. Imagine an agent being able to quickly see that a customer sent an email two days ago regarding a recent bill, or reached out via SMS because the company’s mobile app wasn’t working properly. Imagine if agents could gain this 360-degree, comprehensive view all in just one or two clicks of a mouse.

    Data is continuously generated in different ways, and is consumed by different people across different processes and applications. Having the right information at the right time empowers agents to focus on customers’ needs without having to ask for the same information multiple times (which, as we all know, is one of today’s greatest customer frustrations).

  4. Ensure continuous improvement.

    When it comes to big data, businesses can’t manage what they can’t measure. Therefore, it’s important that companies measure their data both in real-time and historically to help improve systems, processes, and applications over time. This is what will enable them to consistently deliver on key business objectives, operate within budget, and maximize every customer experience. Here are four key technologies for ensuring continuous improvement:

    • A data collector that can collect, standardize and normalize raw data across any data source so it can be used for enterprise-wide reporting and analytics.
    • A processing engine that can correlate, translate, calculate and publish normalized data into meaningful business measures.
    • A visual presentation platform that provides unified, real-time and historical reporting and analytics dashboards that can be used to visualize, analyze and explore key business measures.
    • Predictive analytics to discover new trends, apply changes based on insights, and continuously improve applications, workflows, self service and routing decisions.

So, how can you succeed with these four objectives to fine tune your customer experiences? That’s an entirely new discussion—however, we can tell you this: invest in a customer engagement platform that:

  • Provides a single view of customer interactions across all systems
  • Allows you to add data sources quickly
  • Can correlate data across both real-time and historical systems
  • Boasts an open and extensible reporting and analytics framework

Experience is everything. Learn How Avaya Oceana Works.

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Meet Avaya’s Edison Award Gold Winner Blockchain Use Case

In less than two weeks, we are hosting Experience Avaya Asia-Pacific in Singapore, a city that ranks alongside the likes of Dubai and New York as a global business hub. As I get ready for this event, those two cities are very much top of mind for me right now—and it’s because of blockchain.

By now, just about everybody is aware of blockchain, which likely originated in the Asia-Pacific region, as part of the development of bitcoin. While bitcoin today seems to have gone through its bubble moment, blockchain is definitely here to stay.

Invented to serve one purpose, we’ve only just started figuring out what blockchain can do. In my world of technology and customer service, we would say we are developing “use cases.” Our job is to figure out how technologies can be used to solve a business problem, a social challenge and so on.

The inspiration to develop use cases can’t come from a single source—ideas come from everyone and everywhere. We have a team that picks up on those ideas and plays around with technology, putting the pieces together to create use cases to solve problems that are brought to us by our ecosystem or the customers we serve.

Our Winning Blockchain Use Case: Avaya Happiness Index

Inspired by the Dubai government’s drive to improve the citizen experience—and make it literally a happier place to be—our team, with our partners, looked at how blockchain can help track sentiment and enable organizations to respond more quickly to user trends.

We showed the Avaya Happiness Index on Blockchain to the world at GITEX in Dubai last year—and it was a huge hit. While plenty of companies are keen to use the word “blockchain” we didn’t present a concept, we delivered a blockchain use case. Real-time sentiment analysis may seem a very long way away from cryptocurrency, but we’ve demonstrated how this technology can enhance the citizen/customer experience. The value of bitcoin may rise and fall according to market demand, but the ability to make people happier? That is priceless.

I’m proud to say that the Avaya Happiness Index on Blockchain was a Gold winner for innovation at the world-renowned Edison Awards in New York this week, a milestone achievement for the Avaya team, and for our partners, Avanza Innovations and Sundown.ai. By combining our efforts we’ve created something of real value—a concept we call value co-creation.

When I meet with customers in Singapore this month, I will talk more about value co-creation. In today’s fast-moving digital world, it is no longer viable for technology companies like ours to create products and solutions and just push them out to market. Real value doesn’t come from a packaged solution; it comes from stakeholders working together and combining to create better outcomes. Avaya realized this several years ago, and we opened our platforms to make it easier and faster for customers, partners and suppliers to work with us. The end goal is to share the value creation process across our digital ecosystem so that the end result is magnified for all.

For me, it doesn’t matter so much who originated a technology. What matters is what we can do with it. The Avaya Happiness Index isn’t just a blockchain use case—it’s a proof point of Avaya’s business approach and cultural belief.

I’m looking forward to Experience Avaya Asia-Pacific in Singapore because I know that plenty of you share our belief. This event will give us the opportunity to come together and lay the groundwork for future collaboration. I can’t say where that will take us but maybe, it might just take some of us to New York next year for the Edison Awards 2019!

Please don’t feel you have to wait until we host an event near you. If you have an idea you want to discuss, please share it with me, or your local Avaya contact.

Five Things You Must Do to Shift Customer Experience in 2018

We all know that to drive competitiveness, you must shift customer experience—and that this is now more important than ever. But shift to what? How? When? I hear these questions all the time when meeting with customers in our Executive Briefing Centers, and at tradeshows and conferences. The industry is rallying around terms like “omnichannel,” “cloud,” and “analytics,” but the contact center is not a one-size-fits-all entity. You can’t instantly accomplish a great shift for your business simply by buying omnichannel for your contact center. Rather, it’s a delicate process that requires you to refresh and integrate systems together.

How to Shift Customer Experience

As executives and leaders in customer experience, we must be ready to make changes that can shift a contact center to deliver a better customer experience. Here are five things that Avaya recommends you do in 2018. These may seem obvious, but collectively they can yield true lifetime value results from customers:

  1. Understand Your Customer Journeys
    Rather than looking at countless different, individual interactions, choose to put your customer on a journey, one that rarely starts and stops with just one contact. Take an outside-in view by identifying several important customer journeys and customer preferences. Or, consider low CX scores that can be improved either through self-service assistance or by linking channels together with context (this helps to understand where the customer has been before).
  2. Listen to Your Feet on the Street
    While your customers’ feedback is essential, it is your frontline staff who will give you direct pointers. These individuals understand the necessary tools and training for reaching new levels of customer experience. Consider, for example, that 84% of global contact centers are adapting to meet the needs of next-gen millennial workers. Give your agents a sense of ownership and they will tell you where they can personalize and engage with customers on a greater level. Your agents could potentially sell more when they’re able to make customers feel great about their overall experience. The key is to arm agents with the right information on their desktops.
  3. Support Advanced Automation and Analytics
    According to Gartner, more than 50% of CIOs will have artificial intelligence as one of their top five investment priorities by 2020. AI will assist greatly in understanding the customer journey: augmented reality and bots can automate more processes over human-to-human interactions. Keep in mind, however, that humans are still needed. It’s just that advanced automation and analytics, when put in the right place, can lead to richer and more effective experiences between customers and representatives.
  4. Break Internal Silos
    Creating an orchestrated experience requires executives to look as a team at organizational processes. Take charge as the person who identifies and leads change across your entire organization. Departments working in silos—sales, marketing, service—all stop short when processes are not stitched together. Also keep in mind that your CRM systems and contact center processes must complement one another. They need to come together to drive better customer and business outcomes.
  5. Bridge The Gaps
    Now comes the fun stuff: ownership, budget and getting a project underway. This can be done either by way of proof of concept, or segmenting a certain group of interactions to begin changing processes. Take note of the before and after, and check-in with your customers on improvements (consider surveys or one-to-one outreach). Assess if there are new roles or skillsets needed to keep up with the change. Take it one step at a time and prove a return on investment against identified use cases before moving on.

You need to make a shift happen in 2018 to continually innovate customer experience and improve lifetime value. It will require some research and a few bold moves. I promise it will be a rewarding process if it is inclusive of input and bridges critical gaps.

So, where do you start? I encourage you to talk to Avaya about an assessment or visit one of our Executive Briefing Center sites. From initial strategizing to execution, Avaya can help you develop a solid customer experience plan that yields true lifetime value—we can even model a potential ROI or CLV based on your own estimates. Contact Avaya to learn more.

Avaya A.I.Connect Focuses on Improving Companies’ Customer Experiences

For Avaya, AI is all about people. Sure, there are clearly opportunities to increase automation, to provide higher quality, more natural, more life-like conversational self-service solutions for automated IVR, text, and chat interactions. But in all these cases, there is still a person at one end of the interaction—the end customer. At Avaya, our A.I.Connect initiative focuses on using AI and machine learning technologies to enable our customers to deliver more engaging experiences for their end customers.

The Evolution of AI

The term artificial intelligence dates back to 1956 as an academic discipline, born out of a workshop at Dartmouth College by leading researchers in the computer science field. AI’s success has come in fits and starts, with overblown expectations and not a small bit of fear—it’s been predicted that AI-enabled systems and machines will somehow impinge upon the place of human beings in the global pecking order. But interest in AI (and its associated results) is stronger than ever, poised perhaps to deliver upon an almost 70-year-old hypothesis that machines can be smarter than people. But no, we aren’t welcoming our new robotic overlords. At least not yet.

Keeping People in the Center of Our AI Story

Bringing AI capabilities to the table ultimately centers on increasing the positive nature of the customer’s experience. And doing so in the most innocuous, unobtrusive, comforting and, dare I say, enjoyable ways possible.

End customers aren’t the only ones who benefit from a little artificial intelligence boost. AI’s benefits extend to contact center agents and supervisors, making them more capable of meeting customer needs. AI provides capabilities for customer insight and an almost prescient ability for agents to have the right information at their fingertips (and get it to the end customer) just when it can have the most positive impact towards a successful outcome.

Our Key Focus Areas for AI Enablement

Companies are applying AI capabilities in a dizzying number of ways. While consumers may be familiar with automated back-and-forth interactions to select music, play games, order and re-order supplies, or simply update their family calendars, AI in the enterprise is stretching more broadly and deeply.

Within the scope of customer experience, Avaya’s AI strategy takes a more holistic view of the customer journey, creating a feedback loop from first contact through subsequent interactions across any and all channels, to continuously improve the key metrics for customer satisfaction. And through analytics, to feed the outcomes of the customer journey back into the AI engines so that smart technology can grow even smarter for the next iteration of contact by the customer.

As we apply AI to the contact center, we’re focusing on how it intersects with key areas, including:

  • Effortless Self-Service, including adoption through conversational interfaces, and extending Bot-based interaction capabilities.
  • Smart Routing, using Big Data and interaction history, as well as customer sentiment and other analytical/statistical measures, to provide pinpoint customer routing strategies.
  • Agent Augmentation, to drive upsell/retention opportunities through proactive guidance and next-best-action suggestions consistently across voice, video, chat, email and messaging channels.
  • Interaction Insights, using trend spotting and sentiment analysis among other techniques to allow enterprises to elevate offerings and enhance business processes with improved best practices and voice-of-customer analytics.
  • Enhanced Workforce Optimization, automating and improving QA and discovery of best practice models with the assistance of AI, as well as improving resource scheduling by predicting volumes and absentee rates within the enterprise

Introducing A.I.Connect, our Ecosystem of Partners

There’s an adage that says “to be a great leader, surround yourself with people smarter than you.” And that is exactly what we are doing with the launch of A.I.Connect.

A.I.Connect represents our partner ecosystem for delivering AI-enabled experiences joined to Avaya’s team and customer engagement solutions. Drawing upon top-notch AI-enabled technologies, integrators, and capabilities from companies like Afiniti, ArrowSI, Cogito, EXP360, Nuance, ScoreData and Sundown.ai, as well as others to be made public in the coming weeks, we aim to build an ecosystem that delivers exceptional experiences across the entire customer journey, from first contact to improving every subsequent interaction for the lifetime of that customer relationship.