Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data. Our research shows that nearly three-quarters of organizations deploy both data lakes and data warehouses but are using a variety of approaches which can be cumbersome. A single platform that can...
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Topics:
PROS Pricing,
embedded analytics,
Analytics,
Business Intelligence,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Data,
data lakes,
AI and Machine Learning
Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy. The necessary tools are often separate, but our research shows organizations prefer an integrated environment. In our Data Preparation Benchmark Research, we found that 41% of participants use Analytics and Business Intelligence tools for data preparation.
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Collaboration,
Data Preparation,
Information Management,
Internet of Things,
Data,
Digital Technology,
natural language processing,
Conversational Computing,
AI and Machine Learning
Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data. Big data architectures have attempted to solve the problem with large pools of cost-effective storage, but in doing so have often created on-premises management and administration challenges. These challenges of acquiring, installing and maintaining large clusters of computing resources gave rise...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Collaboration,
Data Governance,
Data Preparation,
Data,
data lakes,
AI and Machine Learning
Organizations are always looking to improve their ability to use data and AI to gain meaningful and actionable insights into their operations, services and customer needs. But unlocking value from data requires multiple analytics workloads, data science tools and machine learning algorithms to run against the same diverse data sets. Organizations still struggle with limited data visibility and insufficient insights, which are often caused by a multitude of reasons such as analytic workloads...
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Topics:
business intelligence,
embedded analytics,
Analytics,
Collaboration,
Data Governance,
Data Preparation,
Data,
Information Management (IM),
data lakes,
AI and Machine Learning
True leadership is the ability to motivate sales organizations to perform at their best. But the demand to do so requires the support of an orchestrated process and tools designed to help sales teams work in a directed manner that can help attain quotas through compensation plans. To manage quotas and resources and optimize sales compensation, everyone in the sales organization, from managers to selling professionals, needs unified and planful sales leadership and operations.
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Topics:
Sales,
Sales Performance Management,
intelligent sales,
sales enablement
People analytics is a specific focus in Human Capital Management (HCM) that enables organizations to have data-driven insights that optimize the impact and value of the workforce. These analytics are essential for addressing a broad scope of HCM objectives, but while reducing compliance risks and highlighting demographic trends have dominated the people analytics landscape for decades, various technology-related advances have paved the way for these data insights to become more actionable,...
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Topics:
Predictive Analytics,
Workforce Analytics,
HR Analytics
The pandemic has raised the stakes for self-service in every part of the customer journey. In 2020, the customer service industry underwent a shock to its collective system by pulling up stakes and moving agents to remote work. At the same time, consumers moved away from in-person interactions in stores and branches. This systemic disruption has led to longer call wait times and tougher interactions because collaborating and accessing company data systems from outside the office is difficult.
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Topics:
Customer Experience,
Contact Center,
Digital Technology,
natural language processing,
Conversational Computing,
agent management,
AI and Machine Learning
Augmented reality (AR) is a critical component of digital technology. The role of AR is to virtualize the visualization and engagement of assets and products with information that can enhance the value of it for many purposes including manufacturing, marketing, sales and service. Consider how manufacturing and field service organizations are starting to use AR technology for hands-free call-up of service manuals using glasses so technicians can verify progress without looking away from their...
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Topics:
Sales,
Business Continuity,
Internet of Things,
Business Planning,
Digital Technology,
Operations & Supply Chain,
Digital transformation,
mobile computing,
extended reality
Can you imagine a more arcane and boring topic than accounts receivable? Unless you are the CFO, controller, chief accounting officer or treasurer of an organization, maybe not. Anecdotally, as it’s part of the trend to the digital transformation of all things in the department, there appears to be greater interest in this area of the Office of Finance. With populations locked down and the accounting staff unable to work in an office, the need to operate virtually has accelerated the...
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Topics:
Office of Finance,
Financial Performance Management,
ERP and Continuous Accounting,
robotic finance,
AI and Machine Learning
Teradata is not a name that is commonly associated with the customer experience marketplace, but that is likely to change as customer experience (CX) practitioners wrestle with the problems created by the multiple streams of data thrown off by the many applications and customer touchpoints they have to manage. Teradata’s Vantage CX is a tool for ingesting and managing customer information at great scale, combining the functions of a modern CDP with the analytics that makes customer data...
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Topics:
Customer Experience,
Marketing,
Analytics,
Business Intelligence,
Contact Center,
Data,
Digital Marketing,
Digital Commerce,
intelligent marketing,
AI and Machine Learning