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New Customer and Contact Center Technology at Call Centre Expo
October 15, 2011 in Business Mobility, Cloud Computing, Customer Performance Management (CPM), Operational Performance Management (OPM), Social Media, Workforce Performance Management (WPM) | Tags: 360-degree view of the Customer, Agent Performance Management, Altitude Software, and Verint, Attensity, Aurix, Call Center, CallCopy, Cisco, Cloud Computing, Contact Center, Contact Center Analytics, CRM, cTalk Ltd, Customer Analytics, Customer Data Management, Customer Experience Management, Customer Feedback Management, Customer Service, Desktop Analytics, Enghouse interactive, Enkata, Genesys, Interactive Intelligence, mplsystems, NewVoicemedia, Nexidia, Noble Systems, Predictive Analytics, SAP, ShoreTel, Social CRM, Speech Analytics, sword-ciboodle, Text Analytics, Unified Communications, Voice of the Customer, Workforce Management | by Richard Snow | 1 comment
I have spent the last two days at the U.K.’s largest contact center trade show, which this year moved to London Olympia from the NEC in Birmingham. While the overall number of visitors seemed to be down, some exhibitors told me there were more high-level attendees with serious intent to purchase.
At the show I detected three major themes: support for managing multichannel (including social media) customer interactions, “the contact center in the cloud” and analytics. Regarding the first, Ventana Research’s benchmark research into the use of technology in contact centers shows that companies must support multiple channels through which customers can interact with them or risk that certain segments of customers won’t do business with them. A colleague recently summed it up nicely: A multichannel customer service strategy is not an “or” strategy but an “and” strategy; that is, no one channel, even social media, will replace any other channel, and therefore you need them all. Supporting this viewpoint were a number of vendors whose integrated products support multiple channels; these includeAltitude Software, cTalk Ltd, Enghouse interactive, Genesys, mplsystems,NobleSystems and ShoreTel.
One of the challenges in handling multiple forms of customer interactions is that it adds to the complexity of the desktop agents use. This is already complex because of the number and variety of applications agents need to access to resolve interactions. The combination of multiple interaction types and multiple applications is increasing the need for a “smart” agent desktop. Altitude and mplsystems include that as a component of their products, while others have specialist products, such as sword-ciboodle and (although the company won’t thank me for describing it this way) Salesforce.com.
As for the contact center in the cloud, Salesforce would claim it provides this, and as I noted it does provide a key part in the smart desktop that brings together all customer information so agents can handle customer interactions more efficiently. But Salesforce doesn’t provide a technology platform to manage inbound interactions and route them to the most appropriate person to handle them. This capability is provided in the cloud by some of the multichannel management vendors whose systems can be based on-premises or on a hosted (in the cloud) basis. Three vendors at the show that specialize in this are Interactive Intelligence, NewVoiceMedia and SAP – the last might surprise people as it is better known as an ERP and CRM provider.
Interactive Intelligence’s CIC provides a technology platform and interaction management, plus other applications to support multichannel customer interaction management in the cloud. NewVoiceMedia’s main product,ContactWorld, also provides interaction management in the cloud and can route interactions to the most qualified person regardless of location. It also launched its Trust site which takes performance monitoring to a new level. Whereas most cloud vendors provide availability and reliability statistics, NewVoiceMedia automates tasks agents carry out, runs these tasks every five minutes, measures the results and publishes the outcomes, thereby allowing managers to see the level of performance their agents receive from the product. This monitoring also allows NewVoiceMedia to spot issues before users see any impact and take corrective action. Possibly the most surprising vendor in this space is SAP, with its BCM products, which include a cloud-based service that supports management of multiple communication channels. All three of these vendors support the growing trend to distribute interaction-handling to dispersed “agents” who can be in different physical centers, home-based, mobile, working in other business units or even working for a third-party outsourcing company.
The other major theme running through the show and in presentations was analytics. Ventana Research advocates wider adoption of analytics in the contact center and elsewhere, so it was interesting to see a variety of analytic products. Most of the vendors have some form of analytics built in to their systems, but a number of specialist vendors offer particular types of analytics: Attensity was featuring its customer-focused analytics; Aurix was featuring its speech analytics; CallCopy was featuring its process and speech analytics products which work with its other products to support improved agent performance; Enkata was featuring a range of products that support operational and agent-focused performance analysis; and Nexidia was featuring its customer-focused analytics that can analyze interactions from multiple channels. I didn’t hear as much as I expected about social media analytics, so it may be that vendors are still evaluating how social media is impacting business.
I describe the adoption of analytics as moving beyond the early-adopter stage and approaching the mainstream. I believe the main issue holding back adoption, which was highlighted in our benchmark research into the use of analytics, is that companies have difficulty interpreting the outputs from analytics and thus getting real business benefits. Our research shows that business units such as Finance are supported by business analysts who essentially interpret the results and show management the impact of different decisions and activities. In the contact center, such responsibility sits with the operational team so they need more support before they can realize the full benefits of speech, text and social media analytics.
Overall the show confirmed that there is an impressive variety of technology available to support companies in their efforts to improve the way they interact with customers. Two absences I noted this year were Cisco andVerint. More technology, applications and analytics are becoming available in the cloud, making it easier and more affordable to try. I have only been able to touch on a few vendors in this piece, so I urge you to take more time to find out what is available and let us know what issues you come across by collaborating with me.
Regards
Richard Snow – VP & Research Director
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Attensity Makes Text Analytics Smarter
June 14, 2011 in Business Mobility, Cloud Computing, Operational Performance Management (OPM), Social Media | Tags: 360-degree view of the Customer, Attensity, Call Center, Contact Center, Contact Center Analytics, CRM, Customer Analytics, Customer Experience Management, Customer Service, Desktop Analytics, Predictive Analytics, Social CRM, Speech Analytics, Text Analytics, Voice of the Customer | by Richard Snow | Leave a comment
My research into customer analytics shows three important things: Text analytics are at the early adopter stage; companies still use spreadsheets as their main tool for analysis; and to move companies away from spreadsheets vendors must offer tools that are as easy to use as spreadsheets. That’s no easy task, given the huge volume and varied types of text data companies are generating and the complexity of analyzing unstructured text. However, the research also indicates that this challenge will be met, and a new software release from text analytics vendor Attensity is the type of product that can help companies overcome these challenges.
As with so many things today, the driver is social media. Companies at the very least want to monitor what consumers are “saying” about them on social media, and what consumers are saying produces a lot of unstructured text. Whether tproducts are called text analytics or social media analytics, companies are beginning to deploy systems that allow them to tap into social media and produce analyses of what consumers are saying about their brands, products and services. As they do this, companies are realizing they have a wealth of other sources of text data – email, forms, surveys, Web scripts and others – that can be analyzed to form a bigger picture of their customers, which is now popularly called the Voice of the Customer.
This need for text analytics plays to the strengths of Attensity. The company recently announced Analyze 6.0 , built on the existing Attensity Data Grid and its powerful natural language processing engine, which can deliver insights, discover trends and analyze sentiment from text-based customer interactions.
Major enhancements in this new version make the product easier to use. A new exploration environment gives users the ability to create new types of analysis using drag-and-drop techniques. Users can select the data they want to analyze, filter it by several different types of parameters (such as names, products or scores), design a dashboard that meets their individual requirements either from scratch or using one of the provided templates, and then drop the required reports into the dashboard. Users can select from a set of standard reports or build reports to individual requirements. The software provides extensive visualization tools: Information may be displayed as tables; as bar, pie and line charts; as category trees (such as types of complaints within the category Complaints); and as gauges and something Attensity calls word clouds, which display the key words in a document with color-coding and variable font size. Word clouds allow users to get a quick overview of the content of selected documents, which in turn helps them create or refine categories of interactions based on frequently used words. As one user told me, it allows them “to see what they need to know so they can create the correct analysis rules.” Last but not least, new capabilities allow users to share or distribute reports and analysis in multiple forms using one-click access to email.
The software also supports a number of functional enhancements, starting with new metrics about percentage totals by category or subcategory. The new “hotspotting” feature, which goes beyond normal trend analysis, allows users to see any significant change between the current analysis and a historical trend. For example, some words or phrases may have just started to be used, or a phrase that once occurred 10% of the time now appears 25% of the time. This guides users to look for a significant event that might have brought about the change. The final major functional enhancement allows users to use social media information to enhance their profiles of customers, tracking for example what other products a customer has (and maybe is complaining about). As well, more technical enhancements improve data security and system administration.
In this major release, Attensity has recognized that different generations of people use new sets of words, phrases and acronyms, and that different industries have their own sets of terms. It has enhanced the application’s word-spotting capabilities to recognize text and social media slang and put it into the context of other content. Attensity also announced a banking industry version that recognizes many specific banking phrases and idioms. This version also includes additional multichannel analysis and enhanced workflow capabilities, which for example allow interactions to be delivered to the person best equipped to deal with them.
All of these enhancements add up to a major advance in how Attensity Analyze can be used to derive insight from many forms of text-based data. It addresses key issues for users by making the software simpler to use and includes features that go beyond what spreadsheets can provide.
Recently I wrote that it is time for companies to change the way they handle customer interactions. Gaining insight into what customers like or dislike using text analytics is a good place to start. Has your company recognized the benefits text analytics can deliver? Please come and tell us your thoughts.
Regards
Richard Snow – VP & Research Director

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