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The work environment today demands that your organization advances the efficiency to execute business processes for continuous operations to have a positive impact on business performance. The capability to be responsive to any range of minor to disruptive business events is required to support business continuity and level of organizational readiness to meet the needs of digital business....

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Topics: Customer Experience, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Cloud Computing, Contact Center, Data, Digital Technology, Operations & Supply Chain, Enterprise Resource Planning, Digital transformation, natural language processing, continuous supply chain, agent management, Process Mining, Streaming Analytics, Experience Management, AI and Machine Learning


When artificial intelligence emerged from the labs and vendors started offering it as a component of their software, many contact-center buyers shied away from it. From their point of view, AI and machine learning tools were new, expensive, relatively untested and had an uncertain use case. This stance was understandable, as contact center professionals are traditionally expected to be...

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Topics: Customer Experience, Voice of the Customer, Analytics, Contact Center, agent management, AI and Machine Learning


The subscription business model has seen much growth in all aspects of the market in recent years. Now considered the standard for the digital age, the model’s implementation travels parallel to rising technology, leading to the demand for newer functionality and tools. As more and more vendors create their own versions, and as the subscription model is increasingly adopted, technology solutions...

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Topics: Sales, Subscription Billing, Subscription Management, partner management


Access to external data can provide a competitive advantage. Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers. Organizations also identified government data, market data,...

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Topics: Analytics, Business Intelligence, Internet of Things, Data, Digital Technology, Lease Management, Streaming Data, Streaming Analytics, AI and Machine Learning


Tools for contact center agent management have changed considerably in the past few years. The suite of software applications has grown from those that perform core functions in scheduling and quality control to include more advanced solutions for agent guidance, integrated desktops, and workflow and automation design. One area of intense investment by vendors has been analytics, specifically for...

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Topics: Customer Experience, Voice of the Customer, Contact Center, agent management


Price management and optimization is not a new discipline, but until now, it has been restricted to particular industries — such as discrete manufacturing and chemicals — where there are potentially hundreds if not thousands of stock-keeping units covering many interdependent products.

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Topics: Subscription Management


Strategic planning has always been difficult. But it is even more so in this age of rapid digital transformation and the pressure of business continuity, which has introduced disruptive changes. What’s needed, ironically, is a methodical approach to how an organization manages strategic planning to allow for beneficial disruption that is not avoidable, balancing finance and operations, engaging...

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Topics: Performance Management, Business Continuity, Digital transformation, Experience Management, Digital Communications


The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal. We currently refer to this technology as data virtualization. Other...

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Topics: Analytics, Data Governance, Data Integration, Data, Digital Technology, data lakes


Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data. The platform features tools to run a variety of analytic functions such as diagnostic, predictive, prescriptive and geospatial...

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Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Preparation, Data, AI and Machine Learning


Data governance is a hot topic these days. In fact, we are conducting benchmark research on the subject here. With increasing regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), organizations face more external oversight of their data governance practices. The risk of significant fines associated with these and other regulations,...

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Topics: Analytics, Data Governance, Data, Digital Technology


Account-based marketing (ABM) serves as a model for how a complex manual activity can be improved and automated. That does not mean it always goes well. ABM is a practice that many B2B marketers swear by, but it can be very difficult to get a technology-enhanced ABM program up and running.

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Topics: Marketing, Marketing Performance Management, Product Information Management, Digital Marketing, intelligent marketing, Digital Experience Platform


Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets. Collibra’s software uses a microservice architecture and open...

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Topics: Analytics, Business Intelligence, Data Governance, Data Preparation, Information Management, Data, data lakes, AI and Machine Learning


The primary effect of the pandemic on agent/workforce management beginning in 2020 was a rush to re-site and re-equip contact centers and agents. This was achieved with a surprising speed and smoothness industrywide. But once achieved on a “temporary” or “emergency” basis, it became clear that this shift was going to be semi-permanent. Even if the majority of the agent population moves back into...

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Topics: Customer Experience, Voice of the Customer, Contact Center, agent management


Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis...

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Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data, AI and Machine Learning



A looming challenge for companies in the developed world is price inflation, an issue periodically fretted over – but not experienced at a macroeconomic level in most developed economies – over the past four decades. Price inflation has been a frequent bugaboo that never emerged because of persistent disinflationary forces in the world economy over the past forty years. It remains to be seen to...

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Topics: Office of Finance, Business Intelligence, Business Planning, Financial Performance Management, ERP and Continuous Accounting


Customer support operations increasingly rely on automation and complex workflow processes to reduce costs and improve experiences. Automation also allows organizations to make their service processes richer, incorporating information and staff from back offices, for example, or embedding conversational tools into contact center processes.

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Topics: Customer Experience, embedded analytics, Analytics, Contact Center, natural language processing, agent management, Process Mining, Streaming Analytics, AI and Machine Learning


Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization. Rapidminer Studio is its visual workflow designer for the creation of predictive...

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Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Preparation, Data, data lakes, AI and Machine Learning


It’s no secret that many large organizations operate in a somewhat insular and siloed manner. This dynamic applies to corporate functions where value-creation from taking advantage of operational synergies could otherwise be quite significant. Historically, human resources and finance departments, for example, were among the operating areas known to closely collaborate only when absolutely...

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Topics: Human Capital Management, Talent Management, Workforce Management, Total Compensation Management


Among the many digital economy trends written about in recent years, one of the most significant has been the adoption of a subscription business model. For organizations with a business model that also includes reselling third-party products and services, this shift to subscription services adds complications and potential challenges.

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Topics: Customer Experience, Product Information Management, Price and Revenue Management, ERP and Continuous Accounting, Subscription Management


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