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When it comes to today’s customers, companies have to be vr_bti_br_technology_innovation_prioritiessmart if they are going to anticipate and meet new customer expectations. These days IBM talks about doing most things in “smart” ways. Recently I was briefed on IBM’s Smart Customer Analytics, but it took me quite a while to find information about it on the company’s not-so-smart website. Surprisingly since business analytics is so important to IBM current and ongoing investments and is the top ranked technology innovation priority in 39 percent of organizations according to our benchmark research.

IBM’s recent history in analytics began with its acquisition of Cognos, and it has gone on acquiring analytics vendors, including SPSS, Unica, Tealeaf and many others. Through these purchases IBM has assembled a comprehensive set of capabilities to support the complete customer life cycle, which it defines as acquire, grow and retain. At the acquire stage the products support granularity of  customer segmentation, which smart companies can use to ensure that customers receive the right messages through the channel of their choice. To grow the customer base it supports analysis of customer issues, sentiment and trends to support cross- and up-selling, and the collection of all customer data to create a 360-degree view of the customer. To support customer retention IBM offers predictive analysis to identify customers at risk of defection and suggest actions to address issues, as well as to generate insights to define and execute an ongoing customer engagement strategy.

How does IBM support all these activities? The answer starts with data, which is at the heart of customer analytics. IBM segments it into descriptive data (such as name, address and other attributes), behavioral data (transactions such as orders and payments), interaction data (including email messages, chat scripts, Web streams and CRM notes) and attitudinal data (such as customer feedback, market research and social media comments). Eventually companies need to bring together, rationalize and analyze all customer data, from any source, type (structured, unstructured and event-based) or time frame; the more they include, the fuller their customer view will be. Customer analytics has tools that extract data from multiple data sources, an information management platform that brings the data, predominantly structured data, text and social media, together, and makes it available for the analytics platform. These requirements and steps for customer analytics requires integrating all of this information requires big data technology that IBM has advanced as my colleague notes but will need to be further integrated into its existing customer focused efforts and further embrace its current big data analytics that we have assessed.  This includes tools that support data and text mining, business rules management, entity analytics, sentiment analysis and business intelligence; together they help companies carry out predictive modeling, sentiment analysis, forecasting and simulation, social analytics, and customer feedback analysis. The results are shown in scorecards, dashboards and reports that support the latest visualization techniques, and which support real-time decision-making.

Through the process of acquiring technology vendors to support business analytics, enhancing their products, developing new capabilities and integrating the products, IBM has created an impressive set of capabilities. However, it is missing speech analytics, which my research into customer analytics shows can be a prime source of customer insights. These days most companies have at least one contact center, and almost all centers record some if not all calls. These contain valuable information about customers, including product and service issues, sentiment, hot issues, trends and predictive behaviors. To obtain a full 360-degree customer view, companies thus need to include analysis of these recordings. In another area, IBM’s work with Watson, its natural-language processing technology, that my colleague has assessed in conjunction with customer analytics could make customer analytics smarter. By using Watson’s capabilities to find and integrate other customer data into a fuller, richer customer view, it could guide actions with even greater detail.

There is no denying that customers have changed their purchasing and communication habits. To keep up, companies need the fullest customer view they can obtain. IBM’s smart customer analytics goes a long way toward meeting these needs. I recommend that companies evaluate how these tools can help them improve all aspects of the customer journey and experience.

Regards,

Richard J. Snow

VP & Research Director


Finance departments don’t immediately come to mind in conversations about social collaboration technology. Most of the software used for social collaboration that I’ve seen demonstrated focuses on thevr_bti_br_technology_innovation_priorities sales process or for broader employee engagement. The Facebook-style interface may cause finance department managers and executives to roll their eyes, especially if they’re over 40 years old. Yet business and social collaboration is an important set of capabilities that has been taking hold in business. Our benchmark research shows it ranking second behind analytics as a technology innovation priority. It will gain adoption over the next several years as software transitions from the rigid constructs established in the client/server days, which force users to adapt to the limitations of the software, to fluid and dynamic designs that mold themselves around the needs of the user. Perhaps because most of the attention so far on the benefits of collaboration has focused on front-office roles, there’s less awareness of the potential in back-office and administrative functions. Indeed, the same research reveals that those in front-office roles five times more often than those in accounting and finance roles (21% vs. a mere 4%) said that business and social collaboration are very important to their organization. However, I assert it’s just a matter of time before the finance group understands that social collaboration has substantial potential to improve its performance.

In examining why this change will occur, let’s start with some background. “Doing business” is all about collaboration, on which my colleague Mark Smith commented in an earlier perspective. Before communication technologies began to eliminate the constraints of time and space, people relied mainly face-to-face collaboration. (Postal letters were another option but they were very slow and limited interaction.) Voice mail was the first breakthrough in enabling people to collaborate quickly across time and space. Busy individuals could conduct conversations through a series of voice messages, discussing an issue in some depth and agreeing on an approach without speaking in real time. Much of business investment in information technology over the past two decades has been aimed at enabling good communications among different elements located in separate buildings, cities and even countries. The same is true for finance.

We all know that the eruption of social media – in both group settings like Facebook and one-to-many channels such as Twitter – has changed the dynamics of how people – especially those under the age of 40 – communicate. A couple of years ago, a group of teenage girls became trapped in a sewer under Adelaide, Australia. It took several hours to rescue them because the one with a phone used it to post their plight on her Facebook page rather than call someone. This example may be extreme, but it illustrates intergenerational differences in expectations of how one communicates. As with IM, software companies that build business applications are beginning to include Facebook- and Twitter-like capabilities to support collaboration. Examples include application platforms such as Salesforce.com’s Chatter, IBM’s Connections and stand-alone software that can be integrated with another vendor’s offering such as Socialtext that is now owned by Peoplefluent. Software that fosters collaboration can improve efficiency, for example, by resolving issues faster or finding easier or less expensive alternatives to addressing a need. It can improve effectiveness by improving customer satisfaction or enabling more informed decisions sooner. It can foster better alignment across business units as well across and within departments by enabling closer communications among their people.

Social collaboration is off to an encouraging start, but it’s easy to see where improvements are needed, especially to be useful to the finance function. Ideally, collaboration software will be able to understand the context of the work at hand, the role of the individual participant and the relationships the individual has with others in that context. A technology like Google Glass has the potential to enable a manager, while reviewing a report, to see that there have been comments posted related to specific numbers, text or charts and then select and read these just by moving his or her eyes.

As well, software imbued with social collaboration capabilities should understand and automatically manage the various types of relationships among individuals. For example, people in a company typically have a general role (“I’m in Finance”) and one or more task-specific ones (“I’m the director of financial planning and analysis”). Some relationships are persistent while others begin and end with a project. Issues that arise may be open to all or confined to specific groups, subsets of groups or a private dialogue. Queries or comments may be general, specific or somewhere in between. Some conversations, especially in finance and tax departments, must be tightly controlled. Software that understands the context of the work performed and automates the process of managing the who, what and when of the communications will support more effective collaboration, faster completion of tasks, greater situational awareness with the organization and as a result better decision-making.

Which brings me back to the relevance of social collaboration for finance professionals. There are many use cases for comprehensive collaboration capabilities in ERP or accounting and financial performance management software. A good deal (maybe too much) of what goes on operationally in finance departments involves checking details and correcting errors – activities that require direct communications. Resolving billing issues could be streamlined if receivables and sales or payables and purchasing were connected to the appropriate collaborative network in the context of executing business processes. For example, end-of-period reconciliations could proceed faster if communications among the right people in the departments involved less effort. The financial close has multiple steps where time saved by resolving snags or clearing up ambiguities consistently can have a meaningful impact on shortening the process. Likewise, planning and review involve a great deal of collaboration, especially in understanding assumptions and expectations or providing perspectives on causal factors behind better or worse than expected results.

Unlike those in sales and marketing, the stereotypical accountant and finance specialist is not thought of as “social.” And at the moment, few people working in finance departments say that social collaboration capabilities are very important to their jobs. An important aspect of my research agenda for this year points to the need to address the demographic shift from executives and managers from the baby-boom generation to those who grew up with computer technology. These shifts will drive demand for a new generation of software, one that emphasizes IT-enabled collaboration, mobility and agility. Social collaboration used in business applications should be more than a Facebook metaphor. It addresses a key drawback of instant messaging systems: the fact that in business, individuals have multiple roles and multiple networks of people with whom they interact. When tightly integrated into business software of all kinds, social collaboration will become an essential capability by enabling people to resolve issues faster and with less effort than other means of communication. Vendors that focus on the finance function should ignore today’s lack of enthusiasm for social but more practical collaborative capabilities and ensure that their software is designed for the next generation of financial software users.

Regards,

Robert Kugel – SVP Research

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