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Organizations today have huge volumes of data across various cloud and on-premises systems which keep growing by the second. To derive value from this data, organizations must query the data regularly and share insights with relevant teams and departments. Automating this process using natural language processing (NLP) and artificial intelligence and machine learning (AI/ML) enables...

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Topics: embedded analytics, Analytics, Business Intelligence, Data Integration, Data, natural language processing, data lakes, data operations, AI and Machine Learning


Few trends have had a bigger impact on the data platforms landscape than the emergence of cloud computing. The adoption of cloud computing infrastructure as an alternative to on-premises datacenters has resulted in significant workloads being migrated to the cloud, displacing traditional server and storage vendors. Almost one-half (49%) of respondents to Ventana Research’s Analytics and Data...

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Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data


Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and siloed. And as the organization increases its data sources and adds more systems and custom applications, it becomes challenging to manage the data...

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Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Analytics and Data


The contact center is where much of customer experience management happens, but it is by no means the beginning or end of the CX story. Other departments, notably marketing and revenue, have a stake in what happens during the customer’s lifecycle. Whether it’s developing offers, orchestrating interactions or assessing behavior and intent, handling the complexity of the relationship requires a...

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


Pricing is an issue that almost every for-profit company confronts – and usually agonizes over. Chief financial officers must play a part in setting the strategic direction of pricing in their organization. They should not be involved in tactical pricing decisions because they are not close enough to markets and customers, but they should be part of the strategic design of pricing, especially as...

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Topics: Office of Finance, Analytics, Financial Performance Management, Digital Commerce


The need for data-driven decision-making requires organizations to transform not only the approach to business intelligence and data science but also accelerate the development of new operational applications that support greater business agility, enable cloud- and mobile-based consumption, and deliver more interactive and personalized experiences. To stay competitive, organizations need to...

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Topics: Analytics, Cloud Computing, Analytics and Data


The term NoSQL has been a misnomer ever since it appeared in 2009 to describe a group of emerging databases. It was true that a lack of support for Structured Query Language (SQL) was common to the various databases referred to as NoSQL. However, it was always one of a number of common characteristics, including flexible schema, distributed data processing, open source licensing, and the use of...

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Topics: Business Continuity, Analytics, Data, Digital Technology


The internet is a rich source of information and is used by buyers to research new applications and offerings well before ever engaging a vendor and salesperson. Along with massive growth in offerings, this is a major reason why sales teams are facing increasing challenges to successfully sell and attain targets.

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Topics: Sales, AI and Machine Learning


Data lakes have enormous potential as a source of business intelligence. However, many early adopters of data lakes have found that simply storing large amounts of data in a data lake environment is not enough to generate business intelligence from that data. Similarly, lakes and reservoirs have enormous potential as sources of energy. However, simply storing large amounts of water in a lake is...

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Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data, Digital Technology, data lakes, data operations, AI and Machine Learning


ESG reporting is a matter that organizations – and especially publicly held corporations – will be confronting over the next several years. Ventana Research asserts that by 2025, one-half of corporations with 1,000 or more employees will have a formal ESG reporting process in place to address legal mandates or shareholder demand. The roots of ESG investing go back many decades but it has gained...

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Topics: FP&A, Governance, Office of Finance, Performance, Reporting, CFO, ESG


Data from human capital management systems has delivered significant value to organizations for decades. The value continuum has included ensuring compliance with workforce-related laws and regulations around the globe; optimizing human resources’ processes (when combined with various other elements such as change management); maintaining a historical record of key employee activities and...

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Topics: Human Capital Management, Learning Management, Talent Management, Workforce Management, employee experience


As I noted when joining Ventana Research, the range of options faced by organizations in relation to data processing and analytics can be bewildering. When it comes to data platforms, however, there is one fundamental consideration that comes before all others: Is the workload primarily operational or analytic? Although most database products can be used for operational or analytic workloads, the...

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Topics: business intelligence, Analytics, Data, data lakes, data operations, AI and Machine Learning


Several years ago, I noted the importance of gaining resilience in managing supply chains. The world had entered a new era of trade following the financial crisis of 2007, as multilateral relationships were steadily fragmenting. For decades, sourcing and supply chain management was focused almost exclusively on achieving the lowest cost, and the world’s trade environment supported this approach....

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Topics: Office of Finance, Continuous Planning, Business Planning, Operations & Supply Chain, Enterprise Resource Planning, continuous supply chain


Over the past decade, how organizations manage processes and record data related to transactional events captured by an enterprise resource planning system has undergone a significant evolution. Some of the more recent changes have been the result of a steady migration to the cloud, since these systems are typically updated frequently, require less maintenance, have better performance and are...

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Topics: Office of Finance, Business Planning, ERP and Continuous Accounting


Breaking into the database market as a new vendor is easier said than done given the dominance of the sector by established database and data management giants, as well as the cloud computing providers. We recently described the emergence of a new breed of distributed SQL database providers with products designed to address hybrid and multi-cloud data processing. These databases are...

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Topics: Cloud Computing, Data, Digital Technology, Digital transformation, Analytics and Data


With the emergence of multiple selling channels and the rise of the subscription model, the need for a unified approach to revenue planning and execution should be a priority for every organization. As I have written about in my analyst perspective Revenue Management: The Opportunity for Innovation and Optimization, this need to unify the approach and focus on alignment across all revenue...

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Topics: Sales, Customer Experience, Sales Performance Management, Subscription Management, AI and Machine Learning


Any organization that relies heavily on a large labor force looks to automation to reduce costs, and contact centers are no exception. They handle interactions at such large scale that almost any effort to automate some part of the process can deliver measurable efficiencies. Two factors have ratcheted up attention on automating customer experience workflows: the dramatic expansion of digital...

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Topics: Customer Experience, Voice of the Customer, Analytics, Data Integration, Contact Center, Data, agent management, data operations, Experience Management, AI and Machine Learning


TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes. It offers more than 200 connectors, more than 200 enterprise cloud computing and application adapters,...

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Topics: embedded analytics, Analytics, Collaboration, Data Governance, Information Management, Data, Digital Technology, data lakes, AI and Machine Learning


The need for a COVID-19 vaccination “passport” has prompted some to suggest using blockchain technology as a means of reliably verifying an individual’s status at an international level. There are precedents: for example, until smallpox was eradicated, all international travelers were obliged to carry an immunization record for that disease on a standard paper form to gain entrance to a country....

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Topics: Data Governance, Information Management, Data, blockchain


It has been clear for some time that future enterprise IT architecture will span multiple cloud providers as well as on-premises data centers. As Ventana Research noted in the market perspective on data architectures, the rapid adoption of cloud computing has fragmented where data is accessed or consolidated. We are already seeing that almost one-half (49%) of respondents to Ventana Research’s...

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Topics: Data, data lakes, data operations


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