When joining Ventana Research, I noted that the need to be more data-driven has become a mantra among large and small organizations alike. Data-driven organizations stand to gain competitive advantage, responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. Being data-driven is clearly something to aspire to. However, it is also a somewhat vague concept without clear definition. We know data-driven organizations when we see them...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Data Governance,
Data Integration,
Data,
Digital Technology,
natural language processing,
data lakes,
data operations,
Digital Business,
Streaming Analytics,
AI & Machine Learning,
data platforms,
Analytics & Data,
Streaming Data & Events
Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights. Our Analytics and Data Benchmark Research shows some of the benefits of using analytics: Improved efficiency in business processes, improved communication and gaining a competitive edge in the market top the list. With a unified BI system, organizations can have a comprehensive view of all organizational data to better manage processes and identify...
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Topics:
business intelligence,
embedded analytics,
Data Governance,
Data Management,
natural language processing,
data operations,
Streaming Analytics,
AI & Machine Learning,
operational data platforms
Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market. Our research shows that data virtualization is popular in the big data world. One-quarter (27%) of participants in our Data Lake Dynamic Insights Research reported they were currently using data...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Streaming Analytics,
AI & Machine Learning
Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their workforce to perform at peak efficiency and effectiveness. It means the workforce in many organizations...
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Topics:
Sales,
business intelligence,
embedded analytics,
Analytics,
Data,
Sales Performance Management,
Digital Technology,
Digital Commerce,
natural language processing,
Subscription Management,
partner management,
Revenue Management,
Sales Engagement,
Collaborative & Conversational Computing
The use of artificial intelligence (AI) using machine learning (ML) will be the single most important trend in business software this decade because it can multiply the investment value of such applications and provide vendors an important source of differentiation to achieve a competitive advantage in what are today very mature software categories. I assert that by 2025, almost all Office of Finance software vendors will have incorporated some AI capabilities to reduce workloads and improve...
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Topics:
Office of Finance,
embedded analytics,
Data Management,
Business Planning,
Financial Performance Management,
ERP and Continuous Accounting,
digital finance,
AI & Machine Learning
Many organizations invest in data governance out of concern over misuse of data or potential data breaches. These are important considerations and valid aspects of data governance programs. However, good data governance also has positive impacts on organizations. For example, I have previously written about the valuable connection between the use of data catalogs and satisfaction with an organization’s data lake. Our most recent Analytics and Data Benchmark Research demonstrates some of the...
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Topics:
embedded analytics,
Analytics,
Data Governance,
Data,
Digital Technology
I recently described how the data platforms landscape will remain divided between analytic and operational workloads for the foreseeable future. Analytic data platforms are designed to store, manage, process and analyze data, enabling organizations to maximize data to operate with greater efficiency, while operational data platforms are designed to store, manage and process data to support worker-, customer- and partner-facing operational applications. At the same time, however, we see...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Data,
Digital Technology,
AI & Machine Learning,
data platforms,
Analytics & Data,
Streaming Data & Events
Ventana Research recently announced its 2022 Market Agenda for Analytics, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments in order to improve business outcomes.
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Digital Technology,
natural language processing,
Process Mining,
Analytics & Data,
Collaborative & Conversational Computing
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 line-of-business personnel to query the data faster, generate reports themselves without depending on IT, and...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Data Integration,
Data,
natural language processing,
data lakes,
data operations,
AI & Machine Learning,
data platforms
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, and more than 30 non-relational structured query language databases, relational database management...
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Topics:
embedded analytics,
Analytics,
Collaboration,
Data Governance,
Information Management,
Data,
Digital Technology,
data lakes,
AI & Machine Learning