In today’s challenging economy, customer expectations are high, patience is low, and attention is at a premium. Your customers demand a seamless experience with your products and services, with easy access to detailed, helpful self-service support options. So how do you stay ahead of ever-increasing customer demands? Data. Harnessing numerous customer data points, often scattered across multiple departments, is the key to unlocking a proactive approach to customer satisfaction (and growth).

So your customer success organization is more integral to your brand than ever. And its job is significantly more complex, too. Your customer success team is tasked with ensuring that your customers have everything they need when they need it. And they must also offer a personalized experience that leads to increased product or service adoption and revenue growth.

Essentially, they need to act as a growth engine for your organization. So, instead of simply responding to customer requests, your teams should be proactive and prescriptive. Anticipate your customers’ needs, impressing and delighting them at every turn. The key to this transformation lies in intelligently using the data you’re already collecting.

Predictive insights. Self-service experiences. Highly satisfied customers.

Unifying data in the cloud to visualize it, analyze it, and apply tools like machine learning allows you to unlock new customer insights. Predict when they’ll need support. Better understand when they’re most likely to drop out of your lifecycle. Recognize when they’re most apt to increase their investment. And, of course, doing all this while carefully respecting privacy and adhering to laws regulating the use of data.

Armed with this information, and the right tech platform to glean insights from it, your teams can digitally engage with your customers at the right time with relevant content.

Like any business initiative, scalability is critical. You likely don’t have the workforce to connect with every customer personally. In an already overcrowded digital communication landscape, you’ll achieve greater success by putting the power back in your customers’ hands. Offer the self-service options they want, powered by elegant search experiences that deliver fast access to the information they need.

3 key customer experience drivers

There are three initiatives your customer success organization can implement now to ensure it proactively engages with your customers, offers a self-service experience, and generates continued and repeat business:

Ensure that a customer-first approach is baked into your organization’s DNA.

To position your customer success team as a growth engine, you must have alignment with sales, marketing, product, and other parts of your business.

Make sure everyone in your organization is on the same page about your data collection efforts. And, most importantly, evangelize how all your teams can use that data to set customers up for success and help them grow long-term relationships with your organization.

2. Identify and fill gaps.

What KPIs are important to your customer success team? Are you collecting the right data to report on them?

Ask the right questions of your data based on your KPIs, and you’re likely to uncover gaps or attrition points and identify ways to resolve them. Maybe your customers aren’t receiving enough training or information. Or your team is reaching out to them at the wrong times. Or not at all. When you understand the critical gaps, you can fill them to ensure a smooth road to customer loyalty.

Invest in documentation and metadata.

Your customers need to be able to search for, and quickly and easily find, tools and resources. Your metadata tagging strategy is vital to ensuring they can.

Many companies simply tag their content with internal or company-driven terms, but incorporating the language your customers use to search for information will help them find it faster. Continue to analyze your data over time to see if you’re missing additional content your customers need.

Your customers are at the heart of your organization’s success. And your data is what keeps it beating. When you leverage it strategically to delight your customers, you cultivate loyal customers who are eager to increase their investment in your products or services — a real win-win!

See how Elasticsearch helps foster a culture of customer success.

Rick Laner is the Chief Customer Officer at Elastic.

Data Management

ERP software provider SAP on Tuesday said it is partnering with IBM to infuse the latter’s Watson artificial intelligence (AI) engine across its entire solutions portfolio, including SAP S/4 HANA, S/4 HANA Cloud, SAP Business One, and SAP Business ByDesign.

The move, which is expected to help SAP exploit the natural language processing (NLP) abilities of Watson AI along with predictive insights, is aimed at boosting the productivity of companies and accelerating innovation, especially across the retail, manufacturing, and utilities sectors, the companies said in a joint statement.

IBM Watson’s capabilities, according to the companies, will be integrated into the digital assistant inside SAP Start, which is a service that runs on every computer where an instance of an SAP system is started.

SAP Start monitors the runtime state of all SAP systems, processes, and instances along with reading logs, traces, and configuration files among other threads.

“With SAP Start, users can search for, launch and interactively engage with apps provided in cloud solutions from SAP and SAP S/4HANA Cloud,” the companies said.

The assistant inside SAP Start can also be used to run machine learning and AI to extract information from a variety of data sources and answer business queries, the companies added.

Typically, SAP uses the term digital assistant to collectively address or define all the digital assistants and chatbots in its portfolio, according to Juergen Butsmann, head of intelligent technologies in solution management for S/4 HANA.

“The Digital Assistant is the end-users ‘support center’ for ad hoc tasks, help, FAQ, or any other off-context inquiry. Whenever a user requests tasks or services (whether that be via commands, chat questions, or, in some cases, voice commands) digital assistants/chatbots can convey and interpret the user’s request, execute it efficiently in the system, and promptly provide a response,” Butsmann wrote in a blog post.

IBM Watson integration to aid back end automation

The integration of IBM’s Watson AI into SAP’s portfolio will not only help automate back end tasks but also aid in generating business insights, said Bradley Shimmin, chief analyst of AI platforms at Omdia Research.

“I think the integration will help SAP customers in creating a natural language assistant that is capable of taking programmatic action on backend services. This can help SAP customers maximize the value that SAP offers as part of its rich yet diverse product portfolio,” Shimmin said.

The other value proposition of the Watson integration, according to Shimmin, is the ability to surface enterprise knowledge from across large and disparate datasets.

“Experientially, these two capabilities when intertwined will allow SAP users to surface and take action on valuable business insights,” Shimmin said.  

Is SAP’s digital assistant mature enough in NLP?

Although SAP invests in its own research on AI, the reason to use IBM’s Watson to power its services is SAP’s lack of maturity in natural language understanding capabilities, according to Shimmin.

“Like IBM, SAP certainly has invested heavily in its own AI research. However, that research hasn’t focused on NLP and even natural language understanding,” the analyst said. “It is within these areas that IBM has created value, a value which SAP obviously feels will help them reach their goals with SAP Start more rapidly than if they were to develop this self-same technology in-house.”

SAP’s approach was an effective strategy given the demand for AI features in the market and the rapid evolution of the technology, Shimmin said. “Not every big software player needs to build its own ChatGPT or Bard in order to succeed in the technology market. Rather, I think companies that try to chase this emerging market at the expense of their own, established capabilities, will certainly fall behind rivals that have the good sense to work cooperatively where it makes the most sense to do so.”

IBM, SAP collaborating on large language models and generative AI

The Watson partnership with SAP is the result of a longstanding collaboration between the two companies.

Currently, SAP and IBM Consulting support customers with 25 joint intelligent industry solutions that use IBM Watson capabilities underpinned by the SAP Business Technology Platform (SAP BTP), the companies said.

“Over the past 10 or so years, the two companies have grown in such a way that they are much more complementary. But the two have been working together a lot longer than that,” Shimmin said, adding that IBM also delivers SAP BTP on top of its own cloud platform, which ties nicely into Red Hat Enterprise Linux.

In addition to embedding Watson into SAP, the companies said they are working jointly on developing large language models and generative AI capabilities targeted at delivering “consistent continuous learning and automation based on SAP’s mission-critical application suite.”

Artificial Intelligence, IBM, SAP

There’s an old saying when something you value changes and no longer brings you the joy the way it used to, “it’s not like it used to be.” For those who remember the good old days, great service was an essential part of the customer experience. Nowadays, customer service is not what it used to be. For decades now, customer service has become a necessary cost center. The emphasis on scale, automation, speed, and margins have also come at the cost of customer experience. However, new research now shows that the role of service is shifting back to “service,” to unify the customer’s experience.  

Since the dawn of the contact center in the 1960s, customer service evolved into a transactional entity. Over the years, executives learned to think of service as a numbers game, cycling customers on and off the phone and closing-out tickets as fast as possible, regardless of whether or not customers had a positive impression of the company in each interaction. That mindset would serve as models for deploying next-gen technologies, including IVRs, knowledge centers, chatbots, automation/RPA, text/messaging, with each designed to scale transactional engagement vs. delivering the level of service customers hope to receive. 

Customer experience reflects all customer engagements; Service can no longer serve as the weakest link 

The customer experience — the sum of all engagements, beyond customer service, a customer has with a business — is core to business success today. A related study of customers and B2B buyers published by Salesforce, the “State of the Connected Customer,” showed that nearly nine-in-ten respondents consider experience to be as critical as the product, itself, in deciding whether or not to buy from a company. This means that the experience you deliver is also a product.  

Nearly all respondents to that survey said a positive service experience makes them more likely to make a repeat purchase (94%). The same study also found that 71% of customers had switched brands in the last year with 48% switching companies for better customer service. These are critical insights especially in the current economic environment, when budgets are tightening, and loyalty becomes more important to the bottom line.  

Every facet of that experience must contribute to the great whole of the brand experience you promise. If customer service is viewed as a cost center and metrics prioritize speed over quality and transactions over relationship, it will always take away from the customer’s experience instead of enhancing it.  

There’s good news to report for service professionals. In its fifth edition of the “State of Service,” Salesforce found that companies are increasing investments in employees and technology budgets to match case volume and customer expectations. Over half of service organizations (55%) report increased budgets — up from 32% in 2020. And 51% report increased headcount — up from 19% in 2020. 

Mindset: The value of service shines when it’s meant to enhance the customer experience 

As customers become increasingly connected and empowered, their expectations soar. Service as a cost center is no longer a viable strategy to stand out against competitors where everything either takes away from or adds to the experience. It comes down to a shift in mindset, from a cost center mentality to a revenue generator. When executives invest in customer services that enhances their experience, customers are more likely to make repeat purchases and stay loyal.  

That truth is increasingly penetrating the hallowed walls of C-Suites and the boardroom.  

More than 50% of respondents in Salesforce’s survey of customer service professionals say their management now views their department as a revenue generator, rather than the cost center it may have perceived to be. That’s a significant tipping point that makes service performance all the more important not just for companies as a whole, but for the people in charge of delivering customer service. 

If you need more proof of this phenomenon, consider that over one-third of customer service leaders are now in the C-level — an unprecedented level of representation at the highest reaches of business structures.  

The fact that these are sourced from customer service ranks speaks volumes. And there’s appetite for this trend to continue. Nearly nine-in-ten of customer service respondents who don’t have C-level representation see its value. 

With the rise of roles such as chief customer officers and chief experience officers, service becomes one, albeit critical, part of the overall customer experience. It no longer has to represent the weakest link in the customer journey. 

Connection is the heart of service 

Driving customer success starts with connection to engage customers to meet and eventually exceed customer expectations. 

Think about the myriad of touchpoints that proliferate the path to purchase — and repurchase and loyalty — today. We often talk about this in terms of striving for omnichannel engagement. But beyond business buzzwords, a customer would never use the word omnichannel, it’s important to humanize the customer experience by considering the different, disconnected, departments that touch the customer journey. For example… 

Are service agents aware of marketing campaigns a given customer has received when they make contact? Do they have an informed sense of how a customer has navigated the company’s e-commerce touchpoints? Is the customer’s historical experience, preferences, previous purchases, available to service agents and all frontline executives responsible for customer engagement through their journey? Is integrated data and insights available to power AI in ways that present next best actions and experiences at a personal level, whether that’s an agent, chatbot, or self-guided path? If in a B2B company, are they aware of salesperson interactions?  

This is all critical context that service reps need to meet elevated customer expectations for efficient, tailored engagement. 

So, have companies met those customer expectations for connected engagement? According to the “State of the Connected Customer” survey, they have not.  

Three-in-five respondents say they generally feel like they are interacting with different departments rather than one company. And unfortunately, two-thirds say they often need to repeat information to different agents. When nearly all customers say a positive service experience makes them more likely to make a repeat purchase, is this status quo serving service’s elevated business mandate? 

This attests to a cost-center vs. growth mindset. In each case, the outcomes are very different. 

Compare high-performing service teams — those with the highest customer satisfaction levels — and their underperforming peers. The top teams are empowered to treat unique customers with unique engagement, think freedom from restrictive policies that don’t put all customer situations into a single category of service. Top teams are also more empowered with contextual information that details a customer’s entire journey, whether with service, or another team.  

In these cases, over three-fifths of service teams now share the same CRM software with their colleagues in other departments like ecommerce, sales, and marketing.  

Context matters in a digital-first world 

Let’s talk about the other critical element of meeting elevated customer expectations: digital channels and, more importantly, customer context. 

Even though the world is opening up, the use of digital channels, such as social media and customer portals, have not backtracked. In fact, customers say they are likely to spend more time online than before 2020. This is leading to the adoption of more digital-first touchpoints. Nearly three-in-five customers now prefer to engage through digital channels.  

Before you ask, yes, that preference skews higher among younger demographics. But still, channels such as phone and email are dropping, and digital-first touchpoints are rising across the board.  

Responses to this trend are represented in the increasing adoption among service organizations of channels like mobile apps, forums, and especially video. But a wholesale shift to digital channels ignores critical nuance…context. 

Key objectives are shifting to reflect a focus on efficiency, cost savings, and doing more with less 

Customers veer towards different channels depending on the circumstances. For instance, 59% of customers prefer self-service tools for simple issues while 81% of service professionals say the phone is a preferred channel for complex issues — up from 76% in 2020.  

Wherever they go, customers want their interaction to be easy, seamless, and fast. Let’s focus for a moment on the preference for self-service for simple issues. This is a great example of where customer and company priorities meet — in this case, in the pursuit of efficiency. 

Customer success excellence in today’s environment isn’t easy. Salesforce research found that 83% of customers expect to interact with someone immediately, and 83% expect to resolve complex problems through one person.  

Service professionals are feeling the pressure too, with 60% recognizing the increase in customer expectations since before the pandemic. 

Shifting KPIs reflect a focus on efficiency 

The preference for self-service for simple matters coincides with a heightened focus on efficiency for companies facing uncertain economic conditions. 

Organizations are being asked to do more with less and reduce costs. This is reflected in the rise of efficiency-related service KPIs, such as case deflection, customer effort, and first contact resolution.  

While self-service is a great foray into this pursuit, it can only go so far. How else can service organizations maximize customer satisfaction while using resources most efficiently? 

The answer lies at least in part in technology. Specifically, nearly three-fifths of service organizations now use at least one form of workflow or process automation — freeing up agents to focus on the higher value, more complex work that customers with more pressing or unique needs demand in exchange for repeat purchases.  

Users of automation reported significant benefits, such as time savings, better customer focus, and fewer errors in addressing customer needs. 

Three takeaways to transform service into a growth (and customer relationship) engine  

Service plays an important role in delivering a connected, efficient, and product customer experience. More importantly, service itself is shifting from a necessary cost center to a strategic growth engine. 

Service organizations are now at the forefront of strategic shifts across industries. Leaders are investing in continued momentum as well as future disruptions as customer expectations only continue to increase. 

1) Shift from a service mindset to an experience mindset 

Customers don’t see a “service department” — they see one company. As elevated, connected experiences become more commonplace, any instance of a disconnected, siloed experience across sales, service, marketing, and beyond will stand out and prompt customers to seek out better alternatives. Connecting service people, processes, and technology with their cross-functional counterparts helps mitigate this risk and elevate the overall customer experience. 

2) Empower employees as much as customers 

Scaling digital engagement offerings for customers has its merits, but we need to also think about what capabilities employees need to engage across these channels and provide the tailored, empathetic, and contextualized service customers deserve. Technology is a big part of this equation. But all the technology in the world won’t make much of a difference without the evolved policies and processes that transformation requires. 

3) Audit metrics for efficiency, scale, and experience 

Tried-and-true service metrics aren’t going anywhere, but a narrow focus on closing out as many tickets with as few agents as possible is a recipe for CX and service failure. Think about how KPIs can help identify areas of improvement as you scale across new channels, for instance. As resources get scarcer among economic uncertainty, look for ways to do more with less, without compromising the experiences customers have and take away from each engagement. 

Business Services

It’s an impressive achievement to manufacture seven product lines in six plants spanning four regions with around 20,000 employees serving 120 countries and approximately 3,250 dealers.

It’s also impressive to remain at the top of an ever-changing and competitive powersports industry for more than 80 years — a Canadian company born during the turbulent times of the Second World War — with current annual sales of CA$7.6 billion.

BRP has enjoyed much success for eight decades now as a manufacturer of powersports products, propulsion systems, and land/sea vehicles with familiar brands such as Ski-Doo snowmobiles, Sea-Doo personal watercraft, and my personal favorite, Can-Am ATVs and SSVs.

But with this string of successes came the formidable dilemma of managing and forecasting production of its products across a global manufacturing empire.

Efficiency, accuracy, and support of growth

There were many manual processes, many spreadsheets, and many versions of the truth — making sales and operations planning (S&OP) difficult and labor-intensive. Planning was further complicated by the supply chain disruptions caused by the global pandemic. Another issue, although a good one, was the company’s rapid growth.

To sustain and accelerate growth in an era of unprecedented supply chain snafus, BRP needed to improve its supply chain resiliency to react to market fluctuations in an efficient way. The company also wanted to integrate various applications to improve operational efficiencies.

The whole truth from a single source

Here is one truth: there is no better way to manage production, streamline, improve the accuracy of forecasts, and manage pandemic-related supply-chain surprises than through cloud computing. With it, you can store all production information in a single repository for a single version of the truth, and implement cloud-based solutions for accessing and using the data for its S&OP process. That’s a fact.

BRP embraced cloud-based business transformation with the implementation of SAP Integrated Business Planning, which now helps BRP identify inventory items that require closer attention, such as reordering items to avoid production delays.

The outcome and the good expected

As a result of moving its S&OP process to the cloud, BRP planners will be able to develop feasible and optimized S&OP plans with a shortened planning cycle and a significant reduction in the planning lead time.    

The company also will support new product offerings with optimized production execution across its global plants.

But wait, there’s more – BRP will increase business operations efficiency with the ability to run simulations and scenario planning at any time to assess the impact of opportunities before publishing the plans to downstream teams.

In addition, BRP now has a system that can easily scale with its growth, can be accessed from anywhere, anytime with mobile devices, and can remain in place while adapting to and supporting advancements in cloud computing.

Impressive, yes?

Connecting digitally to perfect reality

IBM Consulting has been a strategic partner to BRP and co-created the vision to guide the digital business transformation journey. Combining industry, supply chain, cloud, and architecture expertise, IBM Consulting is enabling BRP to “connect digitally to perfect reality.”

“Our partnership with IBM Consulting is a critical cornerstone in realizing our target operating model and digital business transformation strategic objectives. They led us through our first-     ever implementation of SAP Integrated Business Planning, a cloud-based SaaS solution, to manage our supply chain planning requirements,” said Stoffel Moreau, Vice President, Business Transformation and Program Office at BRP.

The solution allows BRP to develop a feasible and optimized master production schedule to support the company’s growth as well as the supply chain turmoil since COVID-19 appeared.

This accomplishment earned the company a 2022 SAP Innovation Award. To learn more about what BRP did to win this coveted award, check out their Innovation Awards pitch deck.

Data Management

NJ Transit’s digital infrastructure has come a long way since Lookman Fazal took the top tech post more than three years ago.

The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes.

Aside from his own plans, Fazal is also engaged with CIOs and CTOs of partner agencies on several 10-to-15-year projects that involve purchasing new trains, building new tracks, and designing the proposed new tunnel between New York and New Jersey to add additional tracks. Collectively, the agencies also have pilots up and running to test electric buses and IoT sensors scattered throughout the transportation system.

But those are broad plans that involve several transportation agencies and multimillion-dollar capital expenditures.

Lookman Fazal, chief information and digital officer, NJ Transit

NJ Transit

Since joining NJ Transit, Fazal has primarily been chipping away at his major goal: enabling data innovation. To do so, Fazal devised a plan to transform the company’s IT operations into a world-class cloud-based platform that can offer up whatever analysts want — even what they didn’t know they could have — an evolution that sees NJ Transit moving from reports and pie charts to advanced chatbots, AI and machine learning (ML) models, and predictive analytics.

“We have shown out value,” Fazal says of the transformation. “What our team has produced in the last few years is keeping in mind how to make people’s lives simpler and reducing commute times.”

‘Data engine on wheels’

To mine more data out of a dated infrastructure, Fazal first had to modernize NJ Transit’s stack from the ground up to be geared for business benefit.

In early 2020, the company’s infrastructure was an amalgam of “everything,” Fazal says, including mainframe, client/server, and SaaS systems, as well as 140 applications of all “flavors,” some customized, some off the shelf, some from big companies and some from small companies, he says.

Data from that surfeit of applications was distributed in multiple repositories, mostly traditional databases. Fazal instructed his IT team to collect every bit of data and methodically determine its use later, rather than lose “precious” data in the rush to build a massive data warehouse. “We didn’t care about what the data was,” he says. “I just told them to think of yourself as a dump truck and collect everything.”

The approach is generating lots of practical business benefits and has improved customer service.  Today, NJ Transit is a “data engine on wheels,” says the CIDO.

Fazal and his team have moved most of NJ Transit’s data to the cloud, evolving from simple reports to advanced analytics and AI/ML models that generate insights that transportation business analysts could only dream about in the past, he says.

“We created a data warehouse and data lake to get all data in one centralized space, which then enabled us to create reports, analytics, prediction, and prescription, therefore maturing the organization,” Fazal says.

As NJ Transit built up its data warehouse, the business value from the data insights and discoveries improved, from initially assessing on-time performance of trains and buses to analyzing crew and employee availability, mechanical and engineering factors leading to transportation delays, pinpointing the number of trains on tracks at a particular time, identifying factors that slow service, and predicting the impact of incoming storms and weather events on the performance of the company’s transportation services.  

To date, NJ Transit has hired about eight data gurus to support these endeavors, with a goal to hire even more top-tier data experts in an effort to accelerate business insights and predictive analytics to help transform the business.

As a result, NJ Transit’s data maturity as an organization has grown. Instead of soliciting business analysts for information that would be useful to them, Fazal and his team now have a backlog of requests from those analysts who are hip to the data innovations the IT team can produce.

“When we see that, it now appears the business analysts are talking amongst themselves and sharing what the IT folks can create for them,” he says. “We’re just making sure the company is aware that this capability does exist, and that we are ready to build whatever business challenge or business problem that’s been identified using data. That’s how we measure success.”

Moreover, NJ Transit’s IT team is now able to anticipate the needs of the business analysts. While many corporations are still trying to align IT goals to match the business goals, Fazal and his team are driving insights and business outcomes analysts never even imagined in the past.

IDC analyst Sandeep Mukunda says NJ Transit’s approach to data analytics has been very advanced.

“Maturity is defined by how effectively the data is leveraged,” Mukunda says, noting that the core goal of a transportation entity like NJ Transit is improving departure and arrival performance and quality of service of the commuters and the employees behind the scenes.

“Data from connected public transit vehicles can be leveraged for vehicle health and condition monitoring. It is also leveraged for further analysis, such as understanding traffic patterns and peak hour service, identifying congestion and accident-prone areas, and integrating with other services such as the application for multimodal journey planning,” he says.

Multicloud as enabler

None of these data innovations would have been possible without NJ Transit’s migration to the cloud, Fazal says.

“We selected a multicloud strategy from the very beginning because there’s not one cloud for everything,” he says. “We found that there are different specializations that these cloud providers provide.”

NJ Transit will continue to evolve its cloud infrastructure in service of data innovations.

“The benefit of the cloud is that we get out of the space of maintaining all the infrastructure on which the application sits on,” says Fazal, freeing up NJ Transit IT to move beyond upgrades and patches, and instead contribute new data-fueled insights to deliver more sophisticated data-fueled functionality to improve and modernize transportation.

Analytics, Data Management

Enterprise search projects start with intentions to provide ?Google for our organization’ but too often fail to deliver on that promise. In our experience, these projects fail due to a lack of sustained effort and governance. The commercialization of next-generation search technologies allows you to fulfill this promise if you take a systematic approach to implementation.