Unit4, a Netherlands-based vendor of financial management software focused mainly on midsize companies, recently acquired prevero, a German vendor of performance management and business intelligence software. The acquisition reflects a convergence of transactional and analytic business applications, which I have written about. ERP and financial management software vendors increasingly are adding analytic capabilities – especially in financial performance management (FPM) – to the core functions of transaction processing and accounting to broaden the scope of their offerings.
Since I last wrote about Upstream Works it has expanded its focus on contact center agent efficiency and effectiveness to include omnichannel customer experience. Each of its core products has undergone a number of developments. Its main product now is Upstream Works for Finesse, which it classifies as a smart agent desktop. This is a desktop application that enables users of contact center systems to access the information and systems they need to resolve interactions, as well as prompting the user with next best steps to complete the interaction efficiently and effectively. Upstream Works has a close working agreement with Cisco so the product is only available for users of the Cisco Finesse product.
It’s part of my job to cover the ecosystem of Hadoop, the open source big data technology, but sometimes it makes my head spin. If this is not your primary job, how can you possibly keep up? I hope that a discussion of what I’ve found to be most important will help those who don’t have the time and energy to devote to this wide-ranging topic.
It often seems to business-to-business (B2B) marketers as if the only people who understand them are other B2B marketers. They feel that salespeople don’t get what they do day-to-day, that friends and family don’t understand what they do for a living, and most of all that the executives to whom they report have no interest in what they do – that is, until the last day of the quarter. Then they require that B2B marketers deliver positive, lead-generating and revenue-producing results in reports that detail how their efforts supported sales in the previous 90 days. And they expect those results to be reported in a format understandable to all.
Topics: Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Hive9 Marketing Performance Management, Operational Intelligence, Operational Performance, Sales Performance, Big Data, Analytics
Data virtualization is not new, but it has changed over the years. The term describes a process of combining data on the fly from multiple sources rather than copying that data into a common repository such as a data warehouse or a data lake, which I have written about. There are many reasons for an organization concerned with managing its data to consider data virtualization, most stemming from the fact that the data does not have to be copied to a new location. It could, for instance, eliminate the cost of building and maintaining a copy of one of the organization’s big data sources. Recognizing these benefits, many database and data integration companies offer data virtualization products. Denodo, one of the few independent, best-of-breed vendors in this market today, brings these capabilities to big data sources and data lakes.
Invoicing and billing are mundane business activities that hardly anyone outside of the accounting department cares about, but they are where the back office meets the front office. How well a company handles the process of getting paid by its customers can have an impact on its relationships with them. Like most of the details of business process execution, the impact of substandard invoicing and billing is rarely obvious or even of interest to senior management. That said, like trimming scrap rates or increasing sales pipeline conversion rates by a couple of percentage points, achieving consistent incremental gains in the “little stuff” of business usually translates into greater competitiveness and better financial performance.
In July Salesforce officially closed on its purchase of digital commerce platform provider Demandware for US$2.8 billion. Salesforce’s executives were interested in acquiring a digital commerce platform, and they claim that Demandware was routinely mentioned in their due diligence of the market. So out came Marc Benioff’s and Salesforce checkbook, and they paid. Handsomely. For that sizeable investment, Salesforce will add Demandware’s SaaS-delivered digital commerce capabilities to its Customer Success Platform, while Demandware customers will have access to the Salesforce suite of cloud-based sales, marketing, customer service and analytics tools. But savvy business and IT customers are not getting distracted by the details of this transaction or the acquisition’s market impact. Knowledgeable executives expected a significant deal like this for Salesforce, and they were already thinking ahead of laggards who are just now assessing the implications of this transaction.
Topics: Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Mobile Technology, Omnichannel, Commerce, Digital kDigital, Operational Intelligence, Social Media, Uncategorized, Office of Finance
Today’s proponents of artificial intelligence (AI) tend to focus on its spectacular uses such as self-driving cars and uplifting ones such as medical treatment. AI also has the potential to aid humanity in more modest ways such as eliminating the need for individuals to do tedious repetitive work in white-collar areas. Along these lines, at its recent Vision users conference, IBM displayed an application of its Watson cognitive computing technology designed to automate important aspects of regulatory and legal compliance. Should it prove workable, the application of cognitive computing to compliance could be the first step in achieving what various “Paperwork Reduction Act” legislation has failed to do: substantially cutting the time needed to comply with rules imposed by government entities.
I recently wrote that companies are struggling to provide omnichannel customer experiences and digital customer service is now seen as a business differentiator. To address these issues, organizations need to change how they use people and processes, and deploy innovative technologies that can support new initiatives. To provide an enterprise-wide solution, contact center systems fall into four categories: communications, business applications, analytics and self-service. Our benchmark research into next-generation contact center systems in the cloud shows which types of systems companies have deployed, which they plan to deploy in the next 24 months and whether they prefer them to be on-premises or cloud-based.